Вакансии

Location: Москва Мы развиваем направление аналитики и работы с данными транзакционного бизнеса. Ищем в команду инженера по данным, который будет помогать строить дата-продукты с основным фокусом на разработку в Hadoop-экосистеме. Обязанности * анализировать требования бизнеса по получению новых данных, оценивать наличие данных, сложности и риски * искать зависимости в данных различных источников с учетом бизнес-специфики их хранения * проектировать и разрабатывать аналитические витрины и ETL/ELT-пайплайны в Hadoop-экосистеме * разрабатывать и оптимизировать Hive/Spark SQL, SQL-запросы и прототипы * работать с HDFS, Hive, Spark, форматами хранения Parquet, партиционированием и бакетированием * тестировать ETL и выявлять баги при построении дата-продуктов. * участвовать совместно с владельцем продукта в процессе приемки витрин данных заказчиками * развивать экспертизу по вопросам работы с данными внутри команды * обеспечивать доступность, контроль качества и целостность данных. Требования * опыт работы в роли DE/DA/ETL Developer не менее 1 года * практический опыт разработки на Hadoop: Hive, Spark, HDFS, понимание принципов MapReduce/Spark * отличное знание SQL: вложенные запросы, оконные функции, регулярные выражения, CTE * понимание MPP СУБД. Опыт Greenplum — будет преимуществом * знание основных понятий и концепций из области DWH * знание инструментов DevOps: Git, Nexus, Jenkins, SonarQube; любые IDE * как плюс — опыт работы с языками программирования: Scala, Java, Python * умение работать с большим количеством источников данных **Стек:** Hadoop, Hive, Spark, SQL, ETL, Git, Jira, IntelliJ IDEA, Jupyter Notebook. 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.

• Architect on‑prem & cloud data platforms. • Build data ingestion, pipelines & ETL/ELT.

You’ll design and implement scalable, efficient, and reliable data architectures that support business and analytical needs. You’ll build and maintain data pipelines, ETL processes, and integration solutions for large volumes of structured and unstructured data.

Что предстоит делать Разрабатывать с нуля MVP новой дата‑платформы и инфраструктуры для ingest/transform. Мигрировать существующие пайплайны с Hadoop/HDFS на новую архитектуру (S3, Kafka, Spark, ClickHouse).

Location: Warsaw We're looking for a Senior Platform Reliability Engineer who brings strong software engineering skills and a deep understanding of system behavior under load and stress. This role is a good fit for someone who wants to own reliability as a first-class concern – building the foundational systems that protect Asana's platform, not just responding when things go wrong. You'll build core platform systems like load shedding, rate limiting, circuit breakers, and traffic controls that protect Asana under real-world load. This is deep, cross-cutting work that shapes stability and performance of our entire infrastructure – and you'll partner closely with other platform teams to make reliability something that's built in, not bolted on. Our tech stack includes: AWS, Kubernetes (EKS), CloudFront, Istio, Cilium,  MySQL (RDS), OpenSearch, DynamoDB, Redis, Terraform, Datadog, TypeScript, Scala, Go, and Python. (Yeah, we know this sounds like buzzword bingo – but we want this post to actually show up in your searches.) Why this role? Reliability as a first-class feature : You won't be patching things up after the fact. You'll build the systems that make Asana resilient by design. Foundational work : Load shedding, traffic management, ingress/egress – these are the building blocks that protect everything else. You'll own them. Strong collaboration, reasonable hours : You'll work closely with infrastructure teams in Warsaw and Reykjavik, making deep collaboration practical without constant timezone gymnastics. Room to grow : This is a new team, and you'll help shape what Platform Reliability Engineering looks like at Asana – whether that means leading projects, mentoring others, or defining our technical direction. In this role, success means shipping systems that other teams rely on by default – because they make the platform safer, not because they're mandatory. We're especially interested in people who think like backend engineers but obsess over failure modes, capacity planning, and building systems that degrade gracefully under pressure. This role is based in our Warsaw office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements. We offer a Contract of Employment (UoP) for our employees in Poland. What you'll achieve: Design and build core platform systems – load shedding, circuit breakers, rate limiting – that protect Asana at scale. Own critical platform concerns like ingress and egress, shaping how traffic flows through our systems. Define stable interfaces and libraries that other platform teams build on. Lead end-to-end projects, from scoping and design through to rollout, working across multiple platform teams. Partner with other infrastructure teams to embed reliability into Asana's architecture – not as an afterthought, but as a core design constraint. Debug hard problems across the stack. When something breaks in a way that matters, you'll be the person who figures out why and makes sure it doesn't happen again. Share knowledge through code reviews, design discussions, and mentorship. About you: Strong software engineering background – you're comfortable writing production code and designing systems. We use Go, Python, Scala, and TypeScript, but we care more about engineering fundamentals than specific language experience. 5+ years of experience building and operating backend systems at scale. Familiarity with distributed systems patterns – you've thought about things like backpressure, graceful degradation, and capacity planning. Experience with major cloud platforms (AWS, GCP, or Azure), Terraform, and monitoring tooling like Datadog or similar. Experience defining and working within explicit reliability and performance targets for production systems. Clear communicator and strong collaborator – you're comfortable navigating trade-offs with other platform and infrastructure teams. Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. Important: This is a software engineering role. If your background is primarily scripting, dashboards, or operational playbooks, this likely isn't a fit. What we offer Generous, transparent and fair compensation system (base salary and generous Restricted Stock Unit for Asana Inc.) Contract of Employment ( with 50% tax deductible costs for author’s rights usage for Engineers) Health insurance with dental and travel coverage (Lux Med) Lunch catering on the days that you work from the office Career growth budget Home office setup budget Gym/Fitness card Fertility healthcare and family-forming support with Carrot Mental health support in Modern Health Group life insurance Holiday allowance MacBooks with all necessary accessories For this role, the estimated base salary range is between 31,000 - 36,000 PLN gross monthly on the contract of employment (UoP). The actual base salary will vary based on various factors and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base compensation range for this role may be modified. Our total compensation consists of base salary and equity (RSUs). #LI-Hybrid #LI-KM2 About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Location: Warsaw, Poland What is Box? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. Why Box needs you: The Box Objects team builds the authorization platform. When someone views, edits, or shares content, a policy decision is made against roles and attributes — we own the service that makes it, correctly and in milliseconds, at enormous scale. We're a newly formed team building for other engineers: the APIs, policy models, and primitives product teams across the company rely on to ship access control they can trust. Who you are: 5+ years of professional software development experience Be proficient in Java Interest in security topics (authentication, identity, industry best practices, etc.) Experience building and operating high-scale, business-critical production services Assess, communicate and complete project milestones with manager and team members in a time sensitive manner Must speak English proficiently Nice to have: Scala, PHP, Python, JavaScript or other modern software development language Practical experience working with GCP (Google Cloud Platform) and Kubernetes What you'll do: Attend and engage in stand ups and maintain sprint task statuses in issue tracking tool daily Attend team, project, and manager 1:1 meetings weekly Collaborate with Product Management to help refine requirements and break down complex projects into meaningful, deliverable units Work collaboratively with other engineers, team members, across teams, and with partner organizations Respond to technical and behavioral feedback from manager and peers Play a role in developing and fostering Box culture Represent Box Poland internally and externalls Participate in the production on-call rotation with the team members Methodology Agile management - Scrum Issue tracking tool -Jira Knowledge repository - GitHubEnterprise Code reviews - GitHubEntreprise Version control system - GIT BENEFITS Check out the overview of Life at Box which include general perks and benefits. Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week. Your Recruiter will share more about how we work and company culture during the hiring process. At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply! EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. For details on how we protect your information when you apply, please see our Personnel Privacy Notice . For more details on how Box Poland protects your information, please see our Supplemental Personnel and Candidate Privacy Notice . NOTICE OF USE OF AI At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here . #LI-hybrid #LI-OB1 #LI-EMEA

Задачи: — Руководство проектированием, разработкой и внедрением on-premises MLOps решений для поддержки доставки моделей машинного обучения — Сотрудничество с дата-сайентистами и разработчиками для создания масштабируемых и эффективных конвейеров данных, систем обучения и деплоя моделей — Разработка и поддержка инструментов мониторинга и управления для обеспечения надежности и производительности MLOps инфраструктуры — Взаимодействие с заинтересованными сторонами для понимания их потребностей в машинном обучении и разработки соответствующих решений — Отслеживание новейших трендов и технологий в области MLOps, машинного обучения и искусственного интеллекта, обмен знаниями с командой — Наставничество младших членов команды и помощь в развитии их навыков в MLOps — Поиск и устранение проблем пользователей Требования: — Опыт работы 5+ лет в MLOps, разработке ПО, инженерии данных или смежных областях — Сильные навыки программирования на современных языках (Java, Scala, Python, Kotlin) — Практический опыт работы с Kubernetes: деплой и эксплуатация рабочих нагрузок, отладка сбоев, работа с основными концепциями (Deployments, ConfigMaps/Secrets, Services, resource limits) — Отличные коммуникативные и командные навыки — Ценность простоты и производительности кода Будет плюсом: — Понимание жизненного цикла ML-проектов — Опыт работы с MLOps платформами, такими как Kubeflow или MLFlow — Опыт с ML-фреймворками: scikit-learn, LGBM, Tensorflow, PyTorch — Опыт работы с Big Data инструментами: Spark, S3, Hadoop — Глубокие знания контейнеризации и оркестрации (Docker, Kubernetes) — Опыт DevOps и CI/CD практик — Опыт создания и масштабирования инструментов для обслуживания моделей, включая построение API с жесткими SLA — Страсть к инженерной стороне машинного обучения и масштабированию — Опыт проектирования и построения MLOps инфраструктуры, включая конвейеры данных, системы обучения и деплоя моделей, а также инструменты мониторинга и управления.

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: Vilnius 500M+ downloads. 80M+ monthly users. A decade of building – and we’re still accelerating. Flo is the world’s #1 health & fitness app worldwide on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 – and we’re not slowing down. With 7M paid subscribers and the highest-rated experience in the App Store’s health category, we’ve spent 10 years earning trust at scale. Now, we’re building the next generation of digital health – AI-powered, privacy-first, clinically backed – to help our users know their body better. The job We’re not chasing product–market fit. We’ve found it. Flo is used by 1 in 4 women aged 18–44 in the US. Last year, $200M raised. Earlier this year: 8.6M new installs, 2.8M user jump, That kind of scale doesn’t just happen. It’s engineered. That’s where you come in. We’re hiring Engineering Managers in Vilnius to lead a squad building the next generation of privacy-first, AI-powered health tools - and shipping them to a global audience. What you’ll do Lead and grow a high-performing team of engineers Set direction, ship fast, own outcomes Build systems that are reliable, scalable and secure Guide architecture decisions and unblock delivery Champion engineering quality, speed and autonomy Coach your team - hire, develop, promote Collaborate across disciplines to turn product ideas into reality What you bring 6+ years coding in Scala, Java, Kotlin or Objective-C/Swift Experience building distributed systems at scale 4+ years managing engineers and leading teams Solid track record of hiring, mentoring and building inclusive cultures Deep understanding of software engineering best practices and agile delivery Strong product mindset - you care about the user, not just the stack Nice to have Exposure to ML or data-powered products Full-stack experience Hands-on with CI/CD and DevOps tooling Background in consumer tech or mobile apps A/B testing know-how Salary Range - gross per month (ranges may vary based on skills and experience) €10.000 — €12.000 EUR How we work We’re a mission-led, product-driven team. We move fast, stay focused and take ownership – from brief to build to impact. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar. You’ll be working with people who take their work seriously, not themselves. It takes commitment, resilience, and the drive to keep going when things get tough. Because better health outcomes are worth it. What you'll get We support impact with meaningful reward. Here’s what that looks like: Competitive salary and annual reviews Opportunity to participate in Flo’s performance incentive scheme Paid holiday, sick leave, and female health leave Enhanced parental leave and pay for maternity, paternity, same-sex and adoptive parents Accelerated professional growth through world-changing work and learning support In-person collaboration and work in a hybrid model, with 3 days per week spent in the office 5-week fully paid sabbatical at 5-year Floversary Flo Premium for friends & family, plus more health, pension and wellbeing perks Diversity, equity and inclusion Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role – nothing else. We’re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities. Read our privacy notice for job applicants .

Location: London 500M+ downloads. 80M+ monthly users. A decade of building – and we’re still accelerating. Flo is the world’s #1 health & fitness app worldwide on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 – and we’re not slowing down. With 7M paid subscribers and the highest-rated experience in the App Store’s health category, we’ve spent 10 years earning trust at scale. Now, we’re building the next generation of digital health – AI-powered, privacy-first, clinically backed – to help our users know their body better. The job We’re not chasing product–market fit. We’ve found it. Flo is used by 1 in 4 women aged 18–44 in the US. Last year, $200M raised. Earlier this year: 8.6M new installs, 2.8M user jump, That kind of scale doesn’t just happen. It’s engineered. That’s where you come in. We’re hiring Engineering Managers in London to lead a squad building the next generation of privacy-first, AI-powered health tools - and shipping them to a global audience. What you’ll do Lead and grow a high-performing team of engineers Set direction, ship fast, own outcomes Build systems that are reliable, scalable and secure Guide architecture decisions and unblock delivery Champion engineering quality, speed and autonomy Coach your team - hire, develop, promote Collaborate across disciplines to turn product ideas into reality What you bring 6+ years coding in Scala, Java, Kotlin or Objective-C/Swift Experience building distributed systems at scale 4+ years managing engineers and leading teams Solid track record of hiring, mentoring and building inclusive cultures Deep understanding of software engineering best practices and agile delivery Strong product mindset - you care about the user, not just the stack Nice to have Exposure to ML or data-powered products Full-stack experience Hands-on with CI/CD and DevOps tooling Background in consumer tech or mobile apps A/B testing know-how Annual Salary Range (ranges may vary based on skills and experience) £130,000 — £150,000 GBP How we work We’re a mission-led, product-driven team. We move fast, stay focused and take ownership – from brief to build to impact. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar. You’ll be working with people who take their work seriously, not themselves. It takes commitment, resilience, and the drive to keep going when things get tough. Because better health outcomes are worth it. What you'll get We support impact with meaningful reward. Here’s what that looks like: Competitive salary and annual reviews Opportunity to participate in Flo’s performance incentive scheme Paid holiday, sick leave, and female health leave Enhanced parental leave and pay for maternity, paternity, same-sex and adoptive parents Accelerated professional growth through world-changing work and learning support In-person collaboration and work in a hybrid model, with 3 days per week spent in the office 5-week fully paid sabbatical at 5-year Floversary Flo Premium for friends & family, plus more health, pension and wellbeing perks Diversity, equity and inclusion Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role – nothing else. We’re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities. Read our privacy notice for job applicants .

Location: Москва Наша команда развивает интеллектуальные системы для ведущего банка —рекомендательные сервисы и AI-агенты. Наша цель — создавать решения, которые помогают клиенту решить его потребности с помощью продуктов и сервисов экосистемы Сбера, персонализируют клиентский опыт и оптимизируют бизнес-процессы. При этом минимизируя ненужный инфо-поток от экосистемы на клиента. Мы ищем специалиста, который объединит экспертизу в анализе данных, бизнес-аналитике и продуктовом анализе. Тебе предстоит погрузиться в клиентские пути, формировать и проверять гипотезы, быть драйвером инноваций, влияя на развитие ключевых продуктов банка. Обязанности ### Чем предстоит заниматься: * работать с бизнес-заказчиками: выявлять и уточнять бизнес-требования, переводить их в фичи дорожной карты развития продукта * вести продуктовую аналитику: формулировать и отслеживать метрики успеха, анализировать воронки, проводить A/B-тесты и оценивать влияние изменений на ключевые показатели * анализировать данные по клиентам и запускаемым кампаниям * проводить ресерч новых источников данных для улучшения качества рекомендательной системы * участвовать в разработке и развитии стратегии развития продуктов, определять приоритетные направлений для исследований * анализировать рынок и продукты с точки зрения клиентского опыта, формировать и проверять - продуктовые гипотезы, разрабатывать концепции и прототипы * проектировать MVP на основе гипотез * согласовывать бизнес-процессы: UML диаграммы, бизнес-схемы * взаимодействовать со смежными командами в качестве заказчика * разрабатывать методологии расчетов ключевых показателей по направлению и механизмов их внедрения. Требования ### Что для нас важно: * высшее образование: техническое или экономическое * опыт работы в качестве CJE, продуктового аналитика, системного аналитика от 2 лет * опыт работы с системами управления взаимодействием с клиентом и рассылками (CRM, CDP) * опыт организации исследовательских сессий, сбора и обработки обратной связи * опыт в продуктовых исследованиях (customer development, дизайн-мышление, ux-исследования и пр.) * знание основ статистики (методология оценки A/B-тестов, проверка гипотез) * знание BPMN и опыт построения процессов и постановки требований * умение ставить эксперименты и интерпретировать результаты * навыки продуктовой аналитики: определение метрик, A/B-тестирование, проверка гипотез, анализ воронок * навыки применения ИИ в профессиональной деятельности (например, Гигачат, Кандинский). ### Дополнительным преимуществом будет: * опыт работы с LLM: проектирование, внедрение или оптимизация чат-ботов/AI-агентов (LangChain, RAG, fine-tuning) * опыт работы с BigData-стеком (Hadoop, Spark, Hive), умение строить и оптимизировать пайплайны обработки больших данных * опыт работы с HighLoad-стеком (Java, Scala, Flink), понимание принципов проектирования высоконагруженных распределенных систем * опыт работы аналитиком от 2-х лет, опыт в экосистемных компаниях будет преимуществом (Ozon/Яндекс/Тинькофф/MTC/WB) * владение Miro, Figma. Условия ### Что мы предлагаем: * срочный трудовой договор (декретная ставка) * комфортный современный офис рядом с м. Кутузовская * гибридный формат работы * корпоративный спортзал и зоны отдыха * уникальную систему обучения Сбера для профессионального и карьерного развития * программу адаптации и помощь руководителя на старте * расширенный ДМС и льготное страхование для семьи * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписку Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера * корпоративную пенсионную программу.

- Функциональное тестирование платформы OpenMetadata. - Проверка процессов сканирования источников данных (ingestion), профилирования данных, управления тегами и глоссариями.

• Функциональное тестирование платформы OpenMetadata. • Проверка процессов сканирования источников данных (ingestion), профилирования данных и управления тегами и глоссариями.

Задачи: — Функциональное тестирование платформы OpenMetadata — Проверка процессов сканирования источников данных (ingestion), профилирования данных и управления тегами и глоссариями — Тестирование интеграций с различными СУБД: PostgreSQL, Oracle, MS-SQL, Hive и другими — Проверка соответствия метаданных в источниках информации, отображаемой в каталоге — Тестирование Airflow DAG, отвечающих за обновление и синхронизацию метаданных — Проведение регрессионного тестирования при обновлении OpenMetadata и интеграционных компонентов — Проверка производительности платформы при масштабном сканировании метаданных — Автоматизация тестовых сценариев — Подготовка тест-планов, тест-кейсов и отчетов о дефектах — Ведение тестовой документации и работа с Jira Требования: — Опыт тестирования систем Data Governance, Data Catalog или ETL-процессов — Практические навыки работы с SQL: сложные запросы для проверки целостности и корректности данных — Навыки автоматизации тестирования на Python / Pytest или Scala — Понимание архитектуры Data Lake, Data Warehouse и Data Mesh — Опыт тестирования REST API с помощью Postman или аналогичных инструментов — Понимание принципов работы Apache Airflow — Опыт работы с Docker и Kubernetes для развертывания тестовых окружений — Понимание жизненного цикла разработки ПО (SDLC) и методологий тестирования — Навыки составления тест-планов, тест-кейсов и отчетов о дефектах — Аналитическое мышление, внимание к деталям и умение работать с технической документацией Будет преимуществом: — Опыт работы с платформой OpenMetadata — Опыт нагрузочного тестирования с JMeter или Locust — Знание Hadoop-экосистемы и облачных хранилищ S3 — Опыт работы с Iceberg, Kafka и метаданными в распределенных системах Условия: — Оформление по ТК РФ — Техника предоставляется — ДМС со стоматологией — Компенсация фитнеса — Скидки на обучение, кино, Skyeng — Индексация ЗП

Location: Vancouver, BC Senior Data Scientist [Data] • [Vancouver, BC] We're looking for a Senior Data Scientist to help define Asana's growth strategy as users increasingly discover and adopt software through LLM interfaces like ChatGPT, Claude, and Gemini. With millions of knowledge workers now starting their workday in conversational AI tools, we're at an inflection point in how productivity software reaches users. As part of the AI organization within Asana you'll leverage data to influence how we should build our agentic work management products. Asana's Data Science team helps us fulfill our mission by informing strategy, defining success metrics, and identifying new ways to deliver user value. Data scientists are at the crux of deepening our understanding of the customers and driving more business outcomes by leveraging experimentation, causal inference, statistical and machine learning techniques, and data storytelling. This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Work closely with Product Managers, User Researchers (UXR), and Engineers to understand the needs of our agentic work management customers, employing data frameworks and methodologies to understand our user segments and identify levers for driving user engagement Act as the data lead for specific AI features at Asana with product and engineering Use data analysis and data storytelling to identify key product opportunities for the roadmap Design experiments that measure product progress, and own key performance metrics. Collaborate with fellow Data Scientists in the team to research, identify and disseminate best practices across teams Work in a high-performance, dynamic team with a strong focus on velocity and software quality and learn about the upcoming field of AI-Optimization and how LLMs can help boost Asana’s value proposition. About you 4-6 years of data science experience, with majority in growth-focused roles at B2B SaaS companies 0→1 builder mentality. You've demonstrated the ability to thrive independently in ambiguous environments where you're inventing new playbooks rather than executing existing one Exceptional cross-functional leadership. You write crisply, tell clear stories, and can influence across product,engineering, design, partnerships, sales, and executive stakeholders. You bring clarity to ambiguity. Experience with AI/ML products, LLM APIs, or third-party platform integrations. Strong preference for candidates who've worked with conversational AI or built features integrating ChatGPT, Claude, or similar platforms. Strong analytical foundation with deep fluency in experimentation, A/B testing, pipeline management Strategic business acumen to balance user experience with revenue objectives while translating emerging technology trends into actionable product strategy. Genuine AI enthusiasm. You're curious, adaptable, and genuinely excited about how LLMs are transforming software discovery and adoption. Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making Expert in relational data modeling and SQL and fluent in at least one modern language useful for data processing (e.g. R, Python, or Scala). Familiarity with statistical methods including experimental design, regression, causal inference At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we’ll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between CAD 176,000-200,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. #LI-Hybrid About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Задачи: — Функциональное тестирование OpenMetadata, включая процессы сканирования источников данных, профилирования данных и управления тегами и глоссариями. — Тестирование интеграций с различными СУБД и проверка соответствия метаданных в источниках информации, отображаемой в каталоге. — Тестирование Airflow DAG, регрессионное и нагрузочное тестирование платформы. — Автоматизация тестовых сценариев, подготовка тест-планов, тест-кейсов и отчетов о дефектах. — Ведение тестовой документации и работа с Jira. Требования: — Опыт тестирования систем Data Governance, Data Catalog или ETL-процессов. — Уверенный SQL, включая сложные запросы для проверки целостности и корректности данных. — Навыки автоматизации тестирования на Python/Pytest или Scala. — Понимание архитектуры Data Lake, Data Warehouse и Data Mesh. — Опыт тестирования REST API с Postman или аналогичными инструментами. — Понимание Apache Airflow, Docker, Kubernetes, SDLC и методологий тестирования. — Аналитическое мышление, внимание к деталям и умение работать с технической документацией. — Будет преимуществом: опыт работы с OpenMetadata, JMeter или Locust, Hadoop, облачными хранилищами S3, Iceberg и Kafka. Условия: — Полная занятость. — Оформление по ТК РФ. — Предоставление техники. — ДМС со стоматологией. — Компенсация фитнеса. — Скидки на обучение, кино и Skyeng. — Индексация зарплаты.

Location: Malmö About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision: At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. The Role: Join our dynamic Cypher team at Neo4j, where we are at the forefront of optimizing the core codebase that receives query strings and transforms them into efficient, logically sound execution plans. This role delves deep into the heart of the database, determining the most rapid and effective means of retrieving queried data from the underlying stores and indexes of the property graph model. Responsibilities: As a Cypher Software Engineer, you will not only enhance and optimize the query planner but also contribute to the development of comprehensive features that elevate the capabilities of the Cypher language and the Neo4j database. Your impact will extend across the entire codebase, from the parser to the storage files and indexes. Success in this role requires the ability to think abstractly, discuss the pros and cons of different options, and anticipate edge cases in a design. What You'll Bring: Experience with performance-driven development, e.g., profiling, benchmarking, and optimizing code Familiarity with Agile development processes (TDD, kanban/scrum, pair programming) Knowledge of or willingness to learn Scala A desire to learn. Nice to also have: Experience programming in Scala and/or Java Understanding or previous experience with database design and implementation Interest or experience in developing compilers A strong foundation in algorithm design and analysis Interest in exploratory learning and transferring academic research into production-grade products 5+ years of experience developing high-quality, highly scalable production-level software We don’t expect you to have experience across all these areas. We have a mix of different skills in our team. Many of our teams are spread over two or more locations, so you should be comfortable working as part of a distributed team. Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j. Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years. Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific , BT Group , Caterpillar , Cisco , Comcast , Department for Education UK , eBay , NBC News , Novo Nordisk , Worldline , and others . Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. Countless industry awards . Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers. Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues. One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments) Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide. More information at www.neo4j.com . ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.

Location: London About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision: At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. The Role: Join our dynamic Cypher team at Neo4j, where we are at the forefront of optimizing the core codebase that receives query strings and transforms them into efficient, logically sound execution plans. This role delves deep into the heart of the database, determining the most rapid and effective means of retrieving queried data from the underlying stores and indexes of the property graph model. Responsibilities: As a Cypher Software Engineer, you will not only enhance and optimize the query planner but also contribute to the development of comprehensive features that elevate the capabilities of the Cypher language and the Neo4j database. Your impact will extend across the entire codebase, from the parser to the storage files and indexes. Success in this role requires the ability to think abstractly, discuss the pros and cons of different options, and anticipate edge cases in a design. What You'll Bring: Experience with performance-driven development, e.g., profiling, benchmarking, and optimizing code Familiarity with Agile development processes (TDD, kanban/scrum, pair programming) Knowledge of or willingness to learn Scala A desire to learn. Nice to also have: Experience programming in Scala and/or Java Understanding or previous experience with database design and implementation Interest or experience in developing compilers A strong foundation in algorithm design and analysis Interest in exploratory learning and transferring academic research into production-grade products 5+ years of experience developing high-quality, highly scalable production-level software We don’t expect you to have experience across all these areas. We have a mix of different skills in our team. Many of our teams are spread over two or more locations, so you should be comfortable working as part of a distributed team. Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j. Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years. Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific , BT Group , Caterpillar , Cisco , Comcast , Department for Education UK , eBay , NBC News , Novo Nordisk , Worldline , and others . Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. Countless industry awards . Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers. Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues. One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments) Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide. More information at www.neo4j.com . ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.