Вакансии

💎 Авиасейлс ищет Data Engineer для подключения новых источников данных и разработки/модернизации data pipelines, настройки и поддержки аналитического окружения, обмена данными с внешними и внутренними сервисами, совместной модернизации дата‑платформы с core‑командой, работы в паре с продуктовым дата‑инженером;

Location: Renton, Washington, United States We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Job Overview How would you like to use your leadership skills to nurture and grow a fun-loving and dedicated team of creative production artists who bring some of Magic’s most exciting cards to life? Magic: The Gathering is seeking a Creative Manager to define and grow our Production Artist team. This team builds custom frames and specialty print files that turn creative ideas into best-in-class collectible cards! Location and Work Arrangement This role is based at our [City, State] office and follows a hybrid schedule designed to support in-person collaboration. Employees are expected to work onsite on Tuesdays, Wednesdays, and Thursdays, with the flexibility to work remotely or onsite on Mondays and Fridays. What You'll Do Leading a cohesive and high-functioning group of creative production artists by managing their workloads, developing their skills, keeping close tabs on resourcing, and encouraging a culture of inclusivity and excellence. Developing a culture of teamwork and integration between the creative team, game production, and game design. Partnering with cross-functional teams within the studio to turn product goals into clear vision, deliverables, and decisions. Improving processes, creating documentation, coordinating reviews, and building repeatable workflows to keep the team operating smoothly. What You'll Bring 3+ years of creative leadership experience across diverse skills (art and design). Experience with licensed products, entertainment franchises, external creative collaborators, or brand extensions. Fantastic communication skills and high comfort levels around giving and receiving feedback. High attention to detail and highly developed organizational skills. Adept in MS Office (Word, Excel, PowerPoint, Outlook) and comfortable with remote collaboration tools (MS Teams, Smartsheet, Miro, etc.). Who We Are We’re a team of creators, storytellers, and innovators united under the Hasbro family and home to beloved brands, AAA digital games studios and immersive experiences that spark imagination across generations. Together, we’re committed to a culture rooted in creativity, excellence, curiosity, and inclusion, and where every employee is empowered to think boldly, act with integrity, and spark joy for all. Hasbro About the Company – Hasbro Wizards of the Coast Who We Are – Wizards of the Coast Equal Opportunity Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status. Accommodations If you have a disability and need reasonable accommodation during the hiring process, please inform your recruiter anytime throughout the process. Notice Regarding Hasbro’s use of AI in the Recruitment Process We use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements. How it works: Talent Matching compares information from your resume and application responses with job-related criteria established and weighted by Hasbro’s recruiting and hiring teams. Depending on the role, these criteria may include relevant skills, work experience, prior job titles, and industry experience. The tool then assigns a match category to help organize applications for review. Human oversight: Talent Matching supports — but does not replace — human review. It does not automatically advance or reject candidates or make employment decisions. Hasbro’s recruiters and hiring managers review applications and remain responsible for all hiring decisions. Greenhouse has published the results of an independent bias audit of Talent Matching. View the Greenhouse Talent Matching audit results . The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $150,500 — $235,200 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

Location: Renton, Washington, United States We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Job Overview Senior As a Senior Producer, Duel Masters (DM), coordinating Game Design, Art, Editing, and Production to produce amazing looking products and experiences. Do you have a passion for excellence with a proven track record of collaboration within a fast paced environment? We are looking for someone who can help us build and grow the future of Wizards of the Coast. Location and Work Arrangement This role is based at our Renton, Washington office and follows a hybrid schedule designed to support in-person collaboration. Employees are expected to work onsite on Tuesdays, Wednesdays, and Thursdays, with the flexibility to work remotely or onsite on Mondays and Fridays. What You'll Do Guide and empower the team to define the vision, business, and production strategy for dozens of Trading Card Game releases. Work with internal and external teams to break out project deliverables and scope goals accordingly, and then build, prioritize, and maintain roadmaps, schedules, and documentation. Identify and address potential problems, resource blockers, quality concerns, and production velocity. Build, improve, and iterate development workflow and processes to drive visibility and predictability for prioritized deliverables. Represent the needs of Wizards with all partners and vendors; driving all relationships involved with development with minimal direction. Craft clear, detailed, and proactive communication to all Duel Masters team members. Deliberately balance the goals of the players, the studio and the business using data to guide the conversation. What You'll Bring The successful candidate has a strong mix of creative, technical, innovation, and managerial experience from the live services and/or gaming space. Collaborative oral and written communications skills in both English and Japanese. Deep knowledge of project management and process improvement. Able to own a project from start to finish with minimal input from management. Attention to detail balanced with strong drive towards delivery. Self-motivated, high-initiative person who encourages others and fosters an ownership-mindset in the team. Passion for continuous improvement. What Sets You Apart Experience with Trading Card games and/or the Japanese business environment is a bonus. Who We Are We’re a team of creators, storytellers, and innovators united under the Hasbro family and home to beloved brands, AAA digital games studios and immersive experiences that spark imagination across generations. Together, we’re committed to a culture rooted in creativity, excellence, curiosity, and inclusion, and where every employee is empowered to think boldly, act with integrity, and spark joy for all. Hasbro About the Company – Hasbro Wizards of the Coast Who We Are – Wizards of the Coast Equal Opportunity Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status. Accommodations If you have a disability and need reasonable accommodation during the hiring process, please inform your recruiter anytime throughout the process. Notice Regarding Hasbro’s use of AI in the Recruitment Process We use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements. How it works: Talent Matching compares information from your resume and application responses with job-related criteria established and weighted by Hasbro’s recruiting and hiring teams. Depending on the role, these criteria may include relevant skills, work experience, prior job titles, and industry experience. The tool then assigns a match category to help organize applications for review. Human oversight: Talent Matching supports — but does not replace — human review. It does not automatically advance or reject candidates or make employment decisions. Hasbro’s recruiters and hiring managers review applications and remain responsible for all hiring decisions. Greenhouse has published the results of an independent bias audit of Talent Matching. View the Greenhouse Talent Matching audit results . The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $126,600 — $230,500 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

Location: Renton, Washington, United States We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. We’re looking for a collaborative and thoughtful Program Lead to help support and uphold the values of our Wizards Play Network (WPN) and Organized Play programs. In this role, you’ll work to ensure a positive, safe, and welcoming environment across our global community by helping partners and players navigate policies and address concerns with care and consistency. You’ll take the lead on sensitive investigations, engage with stores and players to resolve issues, and collaborate with internal teams to promote transparency, fairness, and trust. By blending program coordination, policy support, and trust & safety principles, you’ll play a key role in maintaining the integrity of our play spaces and ensuring a healthy experience for players, retailers, and employees alike. What You'll Do: • Own the analysis of program data, policy guidelines, and incident reports to surface systemic concerns and recommend changes around policy adherence. • Lead complex, high-sensitivity investigations end to end, document evidence, and apply sound judgment when enforcing program rules. • Communicate clearly with partners and players about policy outcomes, maintaining professionalism in all interactions. • Define and improve the processes and standards the broader team uses to manage inquiries, investigations, and communications with timely follow-through. • Review partner-reported issues or concerns, assess their impact, and decide on resolution or escalation, using discretion and care. • Draw on internal systems and external context to build a well-rounded view of each case and set best practices in trust & safety for the team. • Partner with leadership and cross-functional teams to ensure consistent and fair application of policies across all regions and scenarios, and advise on program direction. What You'll Bring: • Minimum of 6 years of experience in Trust and Safety, investigations, fraud analysis, or a related field, including ownership of programs or complex caseloads. • Deep experience in conflict resolution and de-escalation, including the hardest cases. • Excellent critical thinking and investigative abilities. • Strong empathy and communication skills, especially in high-pressure or emotionally charged conversations. • Proven ability to work independently, set priorities, and drive programs forward in a high-volume environment. • Experience defining policy, process, or standards is a strong plus. • Familiarity with Wizards Play Network (WPN) policies is a strong plus. • Knowledge of Magic: The Gathering or experience within the gaming/retail industry is highly desirable. • Cultural awareness and/or work experience with regions such as Latin America or APAC is beneficial. • Bilingual or multilingual candidates are encouraged to apply. #Wizards The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $108,600 — $162,900 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

Location: London, England, United Kingdom At Cision, we believe in empowering every individual to make an impact. Here, your voice is heard, your ideas are valued, and your unique perspective fuels our collective success. As part of our global team, you'll thrive in an environment that champions curiosity, collaboration, and innovation, all while making meaningful contributions to the brands we accelerate. Join us in shaping the future of communication and building authentic connections that matter. Whether you're solving complex problems or driving bold innovations, your growth is our success, and together, we’ll create the conversations of tomorrow. Empower your impact at Cision. Be seen, be understood, be you. In this role, you’ll have the opportunity to impact the growth of our business and support our sales team. The role focuses on prospecting new clients within the UK. You will be responsible for reaching out to potential clients to learn their current pain points with social media and sell the Falcon.io solution. This is the perfect role for someone who is number driven, self-motivated, hardworking, and a team player! Cision has an ethos of encouraging autonomy, ambition, boldness, and experimentation. We value open people who take initiative and aren’t afraid to fail, learn from mistakes, adjust, and try to get better at what they do every day. What You'll Do Research new markets, build a pipeline of potential leads, and nurture relationships using Salesloft, Salesforce, LinkedIn, and other platforms Be the face of Cision.com, you are the first point of contact to engage our potential customers Become an expert on our brand, business, and SaaS product Identify points of contact within target companies and reach out to prospective clients via outbound calls, emails and social media Make an average of 60 outbound calls to prospects daily with the goal of scheduling platform demos Qualify new leads and follow up on warm leads, own your pipeline Nurture relationships with potential customers Book demos with qualified leads for your Account Executive team Meet and exceed quarterly targets Stay current on industry news and understand the social media landscape No lanes, if you find a prospective client, reach out to them! No territories - unlimited opportunities! Growth potential, SDRs have a clear growth plan with potential to become Account Executives What You'll Bring Bachelor’s Degree in any field, analytical subjects an advantage Positivity and determination, ability to turn a "no" into a "yes" through consultative questioning and coping with rejection Excellent written and spoken English skills, any other languages are a plus Team player attitude, eager to be part of an ambitious team Ability to thrive in a quota driven environment with short sales cycles Cold calling experience an advantage Exceptional ability to organize work and tasks What We Offer Clearly defined career path - We offer a transparent growth plan with the potential to advance to an Account Executive role or explore different career paths within the company. This could include opportunities in leadership, account management, or customer success; Buddy setup to help you onboard and beyond; A competitive compensation package featuring a solid base salary and an uncapped commission model designed to drive and reward your success; A place in a high performing sales team at a growth-driven company; An open, informal, diverse and multinational working environment; Full Headspace subscription and 24/7 Employee Assistance program; Hybrid working model - 3 in-office days per week at our London office, arranged in coordination with your manager. Cision is the global leader in consumer and media intelligence, engagement, and communication solutions. We equip PR and corporate communications, marketing, and social media professionals with the tools they need to excel in today's data driven world. Our deep expertise, exclusive data partnerships, and award-winning products, including CisionOne , Brandwatch , and PR Newswire , enable over 75,000 companies and organizations, including 84% of the Fortune 500, to see and be seen, understand and be understood by the audiences that matter most to them. Cision is committed to fostering an inclusive environment where all employees can be their authentic selves and perform at their best. We believe diversity, equity, and inclusion is vital to driving our culture, sparking innovation and achieving long-term success. Cision is proud to have joined more than 600 companies in signing the CEO Action for Diversity & Inclusion™ pledge and named a “Top Diversity Employer” for 2021 by DiversityJobs.com . Cision is proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or other protected statuses. Cision is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Cision will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please contact hr.support@cision.com Cision, Inc. "the Company" only communicates with candidates and extends job offers through direct channels, not third parties. Please review our Global Candidate Data Privacy Statement to learn about Cision’s commitment to protecting personal data collected during the hiring process.

Location: Zurich, Switzerland About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Product In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale. The Role We are looking for a Staff Software Engineer to work on the content acquisition and crawling infrastructure of a novel search engine tailored for agentic AI consumption. In this role, you will focus on building systems that discover, fetch, and continuously refresh content from the open web and other large-scale data sources. You will design distributed crawling, scheduling, and ingestion infrastructure capable of operating at internet scale while balancing coverage, freshness, resource efficiency, and reliability. You will work on systems that process billions of URLs, manage high-throughput data flows, and ensure that high-quality content is consistently available to downstream indexing and retrieval systems. In this position, your responsibility will be to: Design, implement, and operate web-scale crawling systems for acquiring content from the internet Build ingestion workflows for internal and external data sources, including crawlers, structured feeds, and partner integrations Develop crawl scheduling, prioritisation, recrawl policies, and freshness strategies Build systems for URL discovery, deduplication, content extraction, and crawl orchestration Ensure reliable operation of crawling infrastructure under high-throughput conditions Define observability and quality metrics for crawl coverage, freshness, throughput, and content quality Monitor resource usage, bandwidth consumption, and infrastructure cost Collaborate with indexing and ML teams to ensure acquired content meets retrieval and ranking requirements Enable safe experimentation with crawling strategies and content acquisition policies You may be a good fit if you: 8+ years of experience building backend or distributed systems Strong Go or C++ expertise Experience with large-scale distributed systems (10k+ RPS, billions of URLs, high-throughput pipelines) Understanding of web protocols (HTTP, DNS, TLS), crawling, scraping, and content extraction Experience operating production systems and debugging failures in distributed environments Strong understanding of scalability, fault tolerance, and resource management Strong candidates may also have experience with: Web crawling Building streaming data pipelines and event-driven systems Kafka, Pulsar, NATS, RabbitMQ, or similar messaging platforms Designing distributed schedulers, queues, and asynchronous processing systems Spark, Flink, Beam, or MapReduce Ad tech, social networks, search engines, or other large-scale content platforms We conduct coding interviews as part of the process. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: London, United Kingdom About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Product In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale. The Role We are looking for a Staff Software Engineer to work on the content acquisition and crawling infrastructure of a novel search engine tailored for agentic AI consumption. In this role, you will focus on building systems that discover, fetch, and continuously refresh content from the open web and other large-scale data sources. You will design distributed crawling, scheduling, and ingestion infrastructure capable of operating at internet scale while balancing coverage, freshness, resource efficiency, and reliability. You will work on systems that process billions of URLs, manage high-throughput data flows, and ensure that high-quality content is consistently available to downstream indexing and retrieval systems. In this position, your responsibility will be to: Design, implement, and operate web-scale crawling systems for acquiring content from the internet Build ingestion workflows for internal and external data sources, including crawlers, structured feeds, and partner integrations Develop crawl scheduling, prioritisation, recrawl policies, and freshness strategies Build systems for URL discovery, deduplication, content extraction, and crawl orchestration Ensure reliable operation of crawling infrastructure under high-throughput conditions Define observability and quality metrics for crawl coverage, freshness, throughput, and content quality Monitor resource usage, bandwidth consumption, and infrastructure cost Collaborate with indexing and ML teams to ensure acquired content meets retrieval and ranking requirements Enable safe experimentation with crawling strategies and content acquisition policies You may be a good fit if you: 8+ years of experience building backend or distributed systems Strong Go or C++ expertise Experience with large-scale distributed systems (10k+ RPS, billions of URLs, high-throughput pipelines) Understanding of web protocols (HTTP, DNS, TLS), crawling, scraping, and content extraction Experience operating production systems and debugging failures in distributed environments Strong understanding of scalability, fault tolerance, and resource management Strong candidates may also have experience with: Web crawling Building streaming data pipelines and event-driven systems Kafka, Pulsar, NATS, RabbitMQ, or similar messaging platforms Designing distributed schedulers, queues, and asynchronous processing systems Spark, Flink, Beam, or MapReduce Ad tech, social networks, search engines, or other large-scale content platforms We conduct coding interviews as part of the process. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Amsterdam, Netherlands About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Product In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale. The Role We are looking for a Staff Software Engineer to work on the content acquisition and crawling infrastructure of a novel search engine tailored for agentic AI consumption. In this role, you will focus on building systems that discover, fetch, and continuously refresh content from the open web and other large-scale data sources. You will design distributed crawling, scheduling, and ingestion infrastructure capable of operating at internet scale while balancing coverage, freshness, resource efficiency, and reliability. You will work on systems that process billions of URLs, manage high-throughput data flows, and ensure that high-quality content is consistently available to downstream indexing and retrieval systems. In this position, your responsibility will be to: Design, implement, and operate web-scale crawling systems for acquiring content from the internet Build ingestion workflows for internal and external data sources, including crawlers, structured feeds, and partner integrations Develop crawl scheduling, prioritisation, recrawl policies, and freshness strategies Build systems for URL discovery, deduplication, content extraction, and crawl orchestration Ensure reliable operation of crawling infrastructure under high-throughput conditions Define observability and quality metrics for crawl coverage, freshness, throughput, and content quality Monitor resource usage, bandwidth consumption, and infrastructure cost Collaborate with indexing and ML teams to ensure acquired content meets retrieval and ranking requirements Enable safe experimentation with crawling strategies and content acquisition policies You may be a good fit if you: 8+ years of experience building backend or distributed systems Strong Go or C++ expertise Experience with large-scale distributed systems (10k+ RPS, billions of URLs, high-throughput pipelines) Understanding of web protocols (HTTP, DNS, TLS), crawling, scraping, and content extraction Experience operating production systems and debugging failures in distributed environments Strong understanding of scalability, fault tolerance, and resource management Strong candidates may also have experience with: Web crawling Building streaming data pipelines and event-driven systems Kafka, Pulsar, NATS, RabbitMQ, or similar messaging platforms Designing distributed schedulers, queues, and asynchronous processing systems Spark, Flink, Beam, or MapReduce Ad tech, social networks, search engines, or other large-scale content platforms We conduct coding interviews as part of the process. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Remote Canada At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. As a Machine Learning Engineer on our team, you will be at the forefront of developing high-quality, production-ready models that play a central role in our decision-making processes. Your contributions will be instrumental in shaping our financial landscape. If you have a strong interest in machine learning and enjoy challenging work, Affirm is the place for you! What you'll do Use Affirm’s proprietary and other third party data to develop machine learning models that predict the likelihood of default and make an approval or decline decision to achieve business objectives Partner with platform and product engineering teams to build model training, decisioning, and monitoring systems Research ground breaking solutions and develop prototypes that drive the future of credit decisioning at Affirm Implement and scale data pipelines, new features, and algorithms that are essential to our production models Collaborate with the engineering, credit, and product teams to define requirements for new products What we look for 2+ years of experience as a machine learning engineer or PhD in a relevant field Proficiency in machine learning with experience in areas such as Generalized Linear Models, Gradient Boosting, Deep Learning, and Probabilistic Calibration. Domain knowledge in credit risk is a plus Strong engineering skills in Python and data manipulation skills like SQL Experience using large scale distributed systems like Spark or Ray Experience using open source projects and software such as scikit-learn, pandas, NumPy, XGBoost, Kubeflow Experience developing machine learning models at scale from inception to business impact Excellent written and oral communication skills and the capability to drive cross-functional requirements with product and engineering teams The ability to present technical concepts and results in an audience-appropriate way Persistence, patience and a strong sense of responsibility – we build the decision making that enables consumers and partners to place their trust in Affirm! Pay Grade - L Equity Grade - 5 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). CAN base pay range per year: $133,000 - $183,000 Location - Remote Canada This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan. #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: United States, Remote Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Staff Software Engineer – Data Do you want to join a team of talented engineers building the next generation of real-time data platforms that power analytics and data-driven experiences across PlayStation? As part of our Data Platform team, you will play a key technical leadership role in designing and evolving the Real-Time Analytics Platform (RTAP), enabling high-throughput, low-latency analytics and stream processing at PlayStation scale. The Software Engineers within our Platform Engineering Group design, build, document, and operate large-scale distributed data platforms that support real-time and near real-time analytics across PlayStation. You will solve complex distributed systems challenges, evolve our streaming and analytics architecture, integrate AI-powered platform capabilities, and improve scalability, reliability, performance, and developer productivity. We’re looking for someone who is passionate about distributed systems, real-time analytics, and building scalable data platforms. You will work closely with Engineering, Product, Infrastructure, Security, and Data Engineering teams to shape technical strategy, influence architecture across organizations, mentor engineers, and help drive the long-term evolution of PlayStation’s data platform. Responsibilities · Design, build, and operate large-scale distributed data systems that power real-time and near real-time analytics,, and data-driven applications across PlayStation. · Lead the architecture and evolution of RTAP’s stream processing and analytics platforms, improving scalability, reliability, performance, and developer productivity. · Own critical platform capabilities end-to-end from architecture and implementation through production operations, performance optimization, reliability, and lifecycle management. · Build and optimize distributed data services using technologies such as Apache Flink, Spark Structured Streaming, ClickHouse, and Apache Druid to support high-throughput, low-latency workloads. · Partner with Data Engineering teams to integrate batch and streaming workloads using modern lakehouse architectures and build interoperable, scalable data platforms. · Build AI-powered capabilities to automate engineering workflows, improve data quality, simplify platform operations, accelerate troubleshooting, and enhance developer productivity. · Establish technical standards and engineering best practices for distributed systems, stream processing, data modeling, query optimization and platform reliability. · Mentor engineers across the organization by reviewing architecture, designs, and code while raising the technical bar through coaching and technical leadership. · Partner with Product, Infrastructure, Security, and Platform Engineering teams to define long-term technical strategy and deliver scalable platform capabilities aligned with business priorities. · Investigate and resolve complex production challenges involving high-throughput, low-latency distributed systems, ensuring high availability and operational excellence. · Participate in the team's production support and on-call rotation, leading incident response, conducting root-cause analysis, and implementing reliability improvements that strengthen the platform over time · Evaluate emerging technologies and distributed data platforms, recommending investments that improve scalability, reliability, developer productivity, and cost efficiency. Requirements · Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. · 8+ years of experience designing and building large-scale distributed systems, with expertise in real-time data processing, analytics, or data platform engineering. · Strong proficiency in Python , with experience building production-grade distributed systems and data processing applications. Experience with Scala is beneficial for supporting and evolving existing platform components. · Hands-on expertise designing and operating large-scale stream processing applications using Apache Flink , Apache Spark Structured Streaming , or equivalent distributed streaming technologies. · Production experience designing, operating, and optimizing distributed analytics platforms using ClickHouse , Apache Druid , or equivalent high-performance OLAP/analytics databases, including query optimization, data modeling, and performance tuning at scale. · Experience building and consuming event-driven data pipelines using AWS MSK , Apache Kafka , or equivalent messaging platforms, with a focus on developing reliable, scalable data processing applications. · Experience applying AI/ML techniques and modern AI tooling to automate engineering workflows, improve data pipelines, simplify platform operations, and enhance developer productivity. · Strong systems design skills with the ability to evaluate architectural trade-offs across scalability, latency, throughput, consistency, reliability, and cost. · Demonstrated technical leadership through architecture ownership, mentoring engineers, and influencing technical decisions across multiple teams. Nice to Have · Experience with Databricks , Apache Iceberg , or modern lakehouse architectures, with the ability to design and integrate batch and streaming workloads into scalable, production-grade data platforms. · Experience building or operating multi-tenant, self-service data platforms supporting multiple engineering organizations. · Experience collaborating with globally distributed engineering teams across multiple organizations and time zones to deliver shared platform capabilities and drive technical alignment. Your First 90 Days 30 Days: Develop a strong understanding of the platform’s architecture, capabilities, engineering practices, and roadmap.Begin contributing to architecture discussions, feature development, design reviews, and production support.Build relationships within the team as well as across  the Data Platform organization. 60 Days: Take technical ownership of a major platform capability or architectural area. Identify opportunities to improve scalability, performance, reliability, or developer productivity.Collaborate with Data Engineering, Infrastructure, Product, and other partner teams on cross-platform initiatives. 90 Days: Lead the design and delivery of key roadmap initiatives for the team..Influence technical direction across teams and mentor engineers on distributed systems and platform engineering best practices.Establish clear architectural recommendations for the next phase of the platform’s evolution. In 90 days, you will have a detailed understanding of the Real-Time Analytics Platform and its role within PlayStation’s broader data ecosystem. You will be comfortable owning complex distributed systems initiatives, partnering closely with Product and Engineering teams, and driving large-scale solutions from architecture through production delivery. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $198,200 — $297,400 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Intellias Meet your recruiter Daniela Riabova daniela.riabova@intellias.com https://www.linkedin.com... Vacancy details Data Engineering Data Engineer Principal Bulgaria, Colombia, Croatia, Poland, Portugal, Spain, Ukraine, United States Remote APPLY NOW REFER A FRIEND Intellias is looking for a Staff Healthcare Data Engineer to join a large-scale digital healthcare initiative focused on building a FHIR-based health data platform and transforming fragmented healthcare data into clean, standardized, and trustworthy information. This is a Staff-level Individual Contributor role combining deep healthcare data engineering expertise, distributed data systems, FHIR interoperability, and AI-native software development. You will set technical direction for how healthcare data is ingested, transformed, validated, and delivered at scale while solving the platform’s most complex engineering and data-quality challenges. The role requires both deep hands-on engineering expertise and broad technical influence — establishing reusable frameworks and standards, mentoring experienced engineers, and raising the engineering bar across the team. What project we have for you The project is building a FHIR-based healthcare data platform at scale , integrating information from EHRs, healthcare organizations, payer systems, national and reference datasets, and other clinical data sources. The platform transforms heterogeneous healthcare data into clean, standards-conformant FHIR while addressing complex challenges around data quality, patient and record matching, deduplication, terminology normalization, distributed processing, and reliable delivery at production scale . The technology landscape includes Python, Apache Spark/PySpark, Databricks, Delta Lake, SQL, FHIR R4, HL7, C-CDA , healthcare terminology standards, and modern cloud-native data infrastructure. This is an AI-native engineering environment where coding agents such as Claude Code and reusable AI capabilities are integrated into the engineering lifecycle. AI is used to accelerate development and solve appropriate healthcare data problems while maintaining strict standards for correctness, deterministic processing, testing, security, and PHI safety. What you will do Set the technical direction for healthcare data engineering across ingestion, transformation, validation, normalization, and delivery. Own the end-to-end architecture of large-scale distributed data pipelines transforming heterogeneous source data into clean, standards-conformant FHIR. Design and evolve scalable solutions using Python, Spark/PySpark, Databricks/Delta Lake , and modern data-processing technologies. Diagnose and eliminate complex performance and scalability bottlenecks across distributed data workloads. Establish standards and reusable frameworks for data quality, deduplication, patient/record linking, terminology normalization, and reliable idempotent processing . Define architectural patterns for FHIR transformation, validation, schema evolution, and production delivery. Build and evolve automated testing and validation capabilities for data quality and FHIR conformance . Establish engineering patterns and reusable tooling that allow the broader team to deliver new healthcare data capabilities faster and more consistently. Champion PHI-safe engineering practices and ensure healthcare data solutions meet applicable security, privacy, and compliance requirements. Make AI-native engineering a practical part of the team’s development model , using coding agents and reusable AI capabilities to automate repetitive work and accelerate complex engineering tasks. Establish engineering guardrails for AI-assisted development, ensuring AI-generated solutions remain correct, tested, secure, observable, and PHI-safe. Determine where deterministic processing provides better reliability than AI/LLM-based approaches and establish appropriate architectural patterns for both. Mentor Senior and Middle engineers through design reviews, pairing, technical guidance, and knowledge sharing. Drive complex, ambiguous engineering problems from initial investigation through architecture, implementation, and production operation. Collaborate with engineering, product, security, data, and healthcare-domain stakeholders to translate complex interoperability requirements into scalable technical solutions. Represent strong healthcare data engineering practices in relevant architecture, standards, and technical discussions. What you need for this 8+ years of professional experience in data engineering, healthcare data platforms, HealthTech, or healthcare interoperability. Proven Staff-level technical ownership of complex production systems, including the ability to set technical direction and solve problems spanning multiple components and engineering teams. Strong hands-on expertise in Python and production-grade data engineering. Deep experience with Apache Spark/PySpark at scale , including partitioning, performance optimization, memory tuning, and distributed processing. Experience with modern lakehouse technologies such as Databricks and Delta Lake , or comparable platforms. Strong experience designing and operating large-scale ETL/ELT pipelines , including CDC, incremental/delta processing, idempotency, schema evolution, and batch/streaming workloads. Proven experience diagnosing and eliminating complex performance and scalability bottlenecks in distributed data-processing systems. Deep hands-on experience with FHIR R4 , including resources, profiles, Bundles, validation, and large-scale healthcare data transformation. Strong knowledge of US Core, USCDI, HL7 v2.x , and C-CDA-to-FHIR transformation patterns. Strong understanding of healthcare terminology standards including SNOMED CT, LOINC, and RxNorm . Experience working with clinical, claims, coverage, eligibility, or comparable healthcare data models. Strong experience with data quality, deduplication, record/patient linking, terminology normalization, and validation . Strong SQL skills and understanding of data modeling, schema evolution, data quality, and production data architecture. Experience with Git, CI/CD, automated testing, observability, and production operations . Strong understanding of healthcare security, privacy, and regulatory requirements, including HIPAA and PHI-safe engineering practices. Proven ability to establish reusable engineering frameworks, architectural patterns, standards, and data-quality practices adopted by other engineers. Demonstrated technical leadership through architecture/design reviews, mentoring, pairing, and cross-team engineering influence. Practical experience using AI coding agents such as Claude Code or comparable agentic engineering tools as an integral part of the development lifecycle. Strong engineering judgment around when to use AI/LLM-based approaches versus deterministic rule-based solutions , particularly where correctness, cost, performance, or PHI safety are critical. Professional English sufficient for direct collaboration with U.S.-based technical and business stakeholders. Nice to Have Deep experience with large-scale FHIR data modeling and healthcare interoperability platforms . Experience with Master Patient Index (MPI), patient matching, identity resolution , or large-scale record linkage. Experience with payer data exchange, including CARIN Blue Button , Da Vinci implementation guides, or similar standards. Experience working with pharmacy, laboratory, or other specialized healthcare datasets. Knowledge of ICD-10 , CPT, CVX , and additional clinical terminology/code systems. Experience with 21st Century Cures Act, ONC certification, CMS Interoperability Rule , or related U.S. healthcare regulatory frameworks. Experience building LLM/agent-based capabilities for clinical data extraction, normalization, terminology mapping, or healthcare data quality . Experience designing reusable AI skills or agentic workflows adopted across engineering teams. Contributions to open-source healthcare, FHIR/HL7 communities, or relevant industry working groups. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success. Skills Healthcare Python Spark

-реализовывать высоконагруженные конвейеры обработки данных для обеспечения надежной и бесперебойной репликации данных из ИТ-систем. -реализовывать комплексные задачи по подготовке данных в целевых аналитических хранилищах (DataLake, SandBox, FeatureStore) для построения признаков, необходимых для разработки моделей машинного обучения.

Участвовать в разработке ядра платформы и самых сложных задачах команды. Разбираешься в дата-инфраструктуре: ETL/ELT, DWH и Data Lake, модели данных, витрины, семантический слой.

— Разрабатывать и поддерживать реализованные рекомендательные решения. — Искать новые гипотезы для улучшения пайплайнов обучения моделей и добавления новых признаков.

Location: United States Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.   We’re looking for a Senior Analytics Engineer to join Kraken’s Finance Data Eng & Analytics team within Data Platform. You’ll build trusted financial data products, using automation and AI to reduce manual work and improve the close process. Working at the intersection of data engineering and accounting, you’ll turn complex financial data into reliable pipelines, models and automated reconciliations. You’ll use AI-assisted tools to accelerate development and investigations, keeping financial outputs tested and traceable.   THE OPPORTUNITY - You’ll work closely with Data Engineers, Finance and Platform Accounting to improve reporting and decision-making. Clear communication and collaboration will help you agree priorities, explain findings and drive adoption. - Partner with Finance to understand workflows, identify pain points and translate business needs into practical data and automation solutions. - Build and maintain automated workflows for data preparation, reconciliations, reporting and follow-ups, with clear controls, monitoring and exception handling. - Build intuitive dashboards and visualizations that help stakeholders understand performance, investigate issues and make decisions. - Resolve finance data issues and reconciliation breaks with Finance, Product and Engineering, addressing root causes and communicating progress. - Build scalable, reliable pipelines to collect, transform and curate data from internal platforms and external systems. - Support the design and rollout of a trusted finance data lake, with clear definitions, ownership and quality checks. - Improve data timeliness, enabling near-real-time insights where they add business value. - Evaluate new technologies, including AI-assisted automation, and prototype solutions to Finance needs that can be reliably supported in production.   WHAT YOU BRING - 7+ years of experience in data analytics and data management within financial services or a regulated industry, working directly with Finance teams. - Strong SQL and Python skills, including writing, debugging and maintaining production code. - Solid experience with Git, merge requests, and code reviews, supported by strong software engineering practices, including testing and documentation. - Hands-on experience building and operating pipelines and models using dbt, Spark, Airflow or comparable tools. - Direct experience with finance or accounting data, such as reconciliations, subledgers, cost basis or month-end close, including investigating discrepancies and validating outputs with accounting stakeholders. - A track record of owning pipelines end to end, making sound technical decisions and improving reliability as requirements and systems evolve. - Judgment and autonomy to lead complex work, navigate ambiguity and remain accountable for production outcomes. - Experience supporting recurring financial close activities, combined with a proactive approach to identifying manual processes and replacing them with reliable, sustainable automation. - Excellent communication skills, with the ability to collaborate across Engineering and Finance, explain complex technical issues, articulate financial implications, and recommend actionable solutions.   NICE TO HAVES - Experience with cryptocurrency transaction data and how digital-asset activity flows into financial records and reconciliations. - Experience processing large volumes of financial transactions using distributed frameworks such as Spark or PySpark. Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: Brazil; Peru; Colombia; Argentina; Canada; Mexico; Chile Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.   We’re looking for a Senior Analytics Engineer to join Kraken’s Finance Data Eng & Analytics team within Data Platform. You’ll build trusted financial data products, using automation and AI to reduce manual work and improve the close process. Working at the intersection of data engineering and accounting, you’ll turn complex financial data into reliable pipelines, models and automated reconciliations. You’ll use AI-assisted tools to accelerate development and investigations, keeping financial outputs tested and traceable.   THE OPPORTUNITY - You’ll work closely with Data Engineers, Finance and Platform Accounting to improve reporting and decision-making. Clear communication and collaboration will help you agree priorities, explain findings and drive adoption. - Partner with Finance to understand workflows, identify pain points and translate business needs into practical data and automation solutions. - Build and maintain automated workflows for data preparation, reconciliations, reporting and follow-ups, with clear controls, monitoring and exception handling. - Build intuitive dashboards and visualizations that help stakeholders understand performance, investigate issues and make decisions. - Resolve finance data issues and reconciliation breaks with Finance, Product and Engineering, addressing root causes and communicating progress. - Build scalable, reliable pipelines to collect, transform and curate data from internal platforms and external systems. - Support the design and rollout of a trusted finance data lake, with clear definitions, ownership and quality checks. - Improve data timeliness, enabling near-real-time insights where they add business value. - Evaluate new technologies, including AI-assisted automation, and prototype solutions to Finance needs that can be reliably supported in production.   WHAT YOU BRING - 7+ years of experience in data analytics and data management within financial services or a regulated industry, working directly with Finance teams. - Strong SQL and Python skills, including writing, debugging and maintaining production code. - Solid experience with Git, merge requests, and code reviews, supported by strong software engineering practices, including testing and documentation. - Hands-on experience building and operating pipelines and models using dbt, Spark, Airflow or comparable tools. - Direct experience with finance or accounting data, such as reconciliations, subledgers, cost basis or month-end close, including investigating discrepancies and validating outputs with accounting stakeholders. - A track record of owning pipelines end to end, making sound technical decisions and improving reliability as requirements and systems evolve. - Judgment and autonomy to lead complex work, navigate ambiguity and remain accountable for production outcomes. - Experience supporting recurring financial close activities, combined with a proactive approach to identifying manual processes and replacing them with reliable, sustainable automation. - Excellent communication skills, with the ability to collaborate across Engineering and Finance, explain complex technical issues, articulate financial implications, and recommend actionable solutions.   NICE TO HAVES - Experience with cryptocurrency transaction data and how digital-asset activity flows into financial records and reconciliations. - Experience processing large volumes of financial transactions using distributed frameworks such as Spark or PySpark.       Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: Москва Мы – команда экспертов, объединенных общей страстью к искусственному интеллекту и рекомендательным системам (RecSys). Нашей главной задачей является создание современной, масштабируемой рекомендательной платформы, способной предвосхищать ожидания пользователей, предлагая персонализированные рекомендации на каждом этапе их взаимодействия с экосистемой Сбер. Наши решения охватывают широкий спектр отраслей: от финансов и e-commerce до индустрии развлечений и здравоохранения. Ищем лидера с сильным практическим опытом Data Analyst (DA), который возглавит аналитическую экспертизу Трайба и будет развивать аналитику как продукт — со своими пользователями, стратегией, целями и планом развития. Ключевая задача — превращать данные в инсайты, задавать направления исследований и помогать командам запускать пилоты, приводящие к измеримому бизнес-инкременту. Обязанности ### Вам предстоит: * формировать стратегию развития аналитики Трайба: изучать потребности внутренних пользователей, определять цели и метрики ценности аналитики, выстраивать и приоритизировать план развития совместно с бизнесом и продуктовыми командами * лидировать аналитическую экспертизу: задавать стандарты исследований, расчёта метрик и интерпретации результатов, проводить экспертное ревью, развивать компетенции аналитиков и обмен знаниями между командами * проводить сложные исследования клиентского поведения, потребностей и рекомендательных сценариев; находить точки роста и формировать инсайты для продуктовых и ML-команд * переводить инсайты в проверяемые гипотезы: определять направления дальнейших исследований, оценивать потенциальный эффект и помогать выбирать приоритетные пилоты * обеспечивать аналитическое сопровождение пилотов: совместно с командами определять критерии успеха, проектировать A/B-тесты, анализировать результаты и готовить рекомендации по масштабированию или доработке решений * оценивать инкрементальное влияние решений на бизнес-метрики совместно с бизнес-заказчиками; прослеживать путь от аналитического вывода до принятого решения и измеримого результата * развивать переиспользуемые аналитические продукты: системы метрик, дашборды, инструменты самостоятельного анализа и базу знаний; формировать требования к данным и контролю их качества вместе с инженерами данных * согласовывать приоритеты с продуктовыми, DS/ML- и инженерными командами, представлять выводы руководству и добиваться их применения в продуктовых решениях. Требования * опыт в роли Data Analyst (от 4х лет) или продуктового аналитика: самостоятельное ведение сложных задач от постановки бизнес-вопроса до выводов и рекомендаций * уверенное владение SQL и Python для работы с данными, опыт создания визуализаций и дашбордов в BI-инструментах * знание математической статистики и практический опыт A/B-тестирования, сегментации, когортного и регрессионного анализа; умение оценивать инкрементальный эффект и корректно интерпретировать ограничения результатов * умение связывать поведение пользователей и качество рекомендаций с продуктовыми и бизнес-метриками, находить точки роста и формулировать проверяемые гипотезы * продуктовый подход к аналитике: умение выявлять потребности внутренних пользователей, определять ценность аналитических решений, формировать цели и расставлять приоритеты * способность выступать экспертным лидером: аргументировать методологические решения, повышать качество работы коллег и согласовывать действия нескольких команд * умение ясно объяснять результаты исследований бизнесу и руководству, договариваться с заинтересованными сторонами и работать в условиях неопределённости * способность разбирать аналитические исследования и профессиональные материалы, в том числе на английском языке. **Будет преимуществом:** * опыт руководства или функционального лидирования команды аналитиков: постановка задач, приоритизация, наставничество и развитие сотрудников * опыт построения аналитической функции, формирования её стратегии или развития аналитики как внутреннего продукта * опыт работы с рекомендательными системами, поиском, ML-продуктами, а также в электронной коммерции или стриминговых сервисах * опыт работы с Big Data, в том числе Spark, и автоматизации аналитических процессов * опыт анализа клиентского пути (CJM) и UX-исследований; профильное образование в IT, математике, Data Science или смежных областях. **Технологии и инструменты:** SQL, Python, Pandas, Tableau / Superset / Amplitude, PySpark, Airflow. Для анализа клиентского пути и UX — Figma, Miro, Hotjar. Условия * комфортный современный офис рядом с м. Кутузовская * формат работы – офис * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * программа адаптации и помощь руководителя на старте * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Глубокое понимание S3/Object Storage и distributed storage architecture.