Вакансии

Задачи: — Разработка и развитие сервисов промышленного инференса ML-моделей и LLM — Построение централизованного слоя доступа к моделям и AI-сервисам — Разработка платформенных компонентов для деплоя, версионирования и мониторинга моделей

Требования: - Опыт TeamLead (управление командой) не менее 4 лет; - Опыт разработки ETL/ELT-процессов, в которых значительная часть логики реализована на стороне СУБД; - Опыт разработки и сопровождения хранимых процедур / функций в СУБД; - Практический опыт использования SQL/PLSQL или аналогичных процедурных расширений SQL для реализации загрузок и трансформаций данных; - Опыт участия в проектах миграции ETL-систем (Apache стек); - Опыт разработки на Python (написание ETL-скриптов, работа с pandas, интеграция с API); - Опыт написания и отладки DAG'ов в Apache Airflow (не только проектирование, но и разработка); - Опыт работы с PySpark (трансформации, оптимизация, партиционирование); - Опыт миграции ETL-процессов с Informatica PowerCenter на открытый стек (Airflow + Greenplum); - Глубокое практическое знание NiFi и Airflow: проектирование потоков, подключение источников, обработка ошибок, мониторинг, отладка; - Опыт работы с качеством данных: разработка правил валидации, анализ влияния на бизнес-процессы; - Понимание архитектурных подходов к проектированию хранилищ, различие ETL и ELT; - Опыт работы с Hive metastore (устройство, хранение на PostgreSQL) и форматами файлов (Parquet, ORC); - Опыт работы с Оracle; - Опыт применения сложных SQL-запросов (оконные функции, джоины); - Умение оптимизировать запросы для highload-среды; - Опыт проектирования интеграций Apache-стека с Kafka и BI-системами; - Опыт настройки потоковой обработки данных; - Опыт работы с Hadoop и Hive (знание версий, источников данных); - Опыт работы с PostgreSQL, Greenplum, Clickhouse; - Опыт работы с Grafana/Prometheus для отслеживания ETL-процессов; - Опыт работы с биллингом; - Опыт автоматической валидации и контроля качества данных после миграции (сравнение результатов, метрики); Обязанности: - Миграция ETL-процессов с Informatica PowerCenter на целевой стек: NiFi + Airflow + Greenplum + SQL/хранимые процедуры. - Подготовка документации AS IS и TO BE; - Написание SQL кода; - Отслеживание метрик.

Проект: Телекоммуникации Занятость: полная Локация: РФ Гражданство: РФ Формат: Удаленно Роль: Data Engineer (ETL-миграция) Локация: РФ, удаленно График: МСК ± 2 Гражданство: РФ Обязательно: - Опыт миграции ETL-систем (желательно с Oracle/Informatica на Apache стек); - Глубокий SQL: оконные функции, сложные джойны, иерархические запросы; - Оптимизация SQL для highload (партиционирование, индексы, explain plans); - Oracle (PL/SQL) и PostgreSQL; - Greenplum и/или Clickhouse; - Проектирование архитектур на Apache Spark (PySpark), NiFi, Airflow; - Hadoop (HDFS) и Hive; - Мониторинг ETL: Grafana/Prometheus или Victoria Metrics; - Опыт работы с биллинговыми системами (телеком-домен). Желательно: - Потоковая обработка: Kafka Streams / Spark Streaming; - Informatica PowerCenter (понимание мигрируемой системы); - Бинарные форматы хранения в Hadoop; - Различия: Hive vs Impala, Greenplum vs PostgreSQL, Clickhouse vs PostgreSQL; - Patroni для кластеризации PostgreSQL/Greenplum; - S3-хранилища; - КриптоПро или защищенные каналы передачи данных. Задачи: - Миграция ETL-системы телеком-оператора с Oracle/Informatica на Apache стек (S3, Airflow, NiFi, Kafka, Greenplum); - Перенос бизнес-логики из Informatica в высокопроизводительный SQL-код; - Написание и оптимизация SQL для витрин данных и ETL-процессов; - Разработка DAG-ов в Airflow; - Настройка пайплайнов в NiFi (источники: Oracle, PostgreSQL; приемники: S3, файловые архивы); - Разработка Spark-джобов (PySpark) для больших объемов; - Интеграция с Kafka для потоковой передачи; - Настройка мониторинга (Grafana/Prometheus) и отслеживание метрик; - Разбор инцидентов по качеству данных и ошибкам загрузки; - Code review. Ключевые компетенции для отбора: миграция ETL-систем, SQL (оконные функции, оптимизация), Oracle PL/SQL, PostgreSQL, Greenplum, Clickhouse, Apache Spark (PySpark), NiFi, Airflow, Kafka, Hadoop, Hive, Grafana/Prometheus, биллинг, телеком.

В роли Senior DevOPS / SRE инженера предстоит заниматься управлением и оптимизацией облачных платформ, автоматизацией CI/CD и GitOps пайплайнов, а также внедрением Infrastructure as Code с помощью инструментов Ansible, Terraform и Pulumi. Работа включает поддержку контейнеризированных сред на базе Docker, Docker Swarm и Kubernetes, а также обеспечение надежной инфраструктуры для BI-сервисов и data-driven приложений, таких как ClickHouse, SQL, Airflow, Tableau и Superset. Взаимодействие с командами разработки и BI направлено на повышение стабильности развертывания и эффективности операций. Требуется уверенное владение одной из облачных платформ, опыт построения масштабируемой IT-инфраструктуры, навыки администрирования Linux-серверов, понимание сетевой модели OSI и принципов информационной безопасности. Опыт работы с инфраструктурой для Business Intelligence и data-related решений будет преимуществом. Работа предполагает офисный формат в Минске или Лимассоле с зарплатой от 4000 до 5000 USD.

Location: Hong Kong 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. About the Team Design and Development Job Overview We are seeking a highly motivated and diligent Project Engineer to join the Preschool & Fashion Engineering team. In this role, you will play a key part in crafting toys and deliver groundbreaking play experiences to reach more than 1 billion fans annually. The candidate will be owning the engineering development and delivery of innovative, safe, high-quality, and efficient products from concept through production launch, including PEPPA PIG, MY LITTLE PONY, BABY ALIVE and more. This role requires close collaboration with Product Design, Project Management, Packaging, Quality Assurance, and manufacturing partners to ensure successful product execution throughout the development lifecycle. The ideal candidate combines strong engineering fundamentals with excellent project management, communication, and problem-solving skills. Location and Work Arrangement This role is based at our Hong Kong 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 Lead engineering development activities for Preschool & Fashion product lines. Support new product development from concept evaluation through market introduction including feasibility study of concepts, estimate BOM cost and tool plan at initial stage. Partner internationally with multi-functional team to drive product development to meet specification within timeline. Analyze various engineering build options to work towards the best product performance, quality, efficient product cost and shortest development path. Product debug and drive issue resolution during development and production phases. On-site review to support manufacturing process development and continuous improvement. Find opportunities for cost reduction, material optimization, tooling efficiency Support alternative sourcing and material qualification programs. Issue and maintain product specifications, product & tool BOM Occasional travel to Mainland China or other countries What You'll Bring Bachelor degree in mechanical engineering, manufacturing engineering, product engineering, or a related engineering field, with equivalent experience also considered. 2+ years of engineering experience in Production or Product development, ideally in the toy industry. Fundamental understanding of plastic toy manufacturing including plastic injection molding, product assembly processes and decorations. Basic knowledge in tool building and construction Understanding in Design for Manufacturing (DFM) and Design for Assembly (DFA). Preschool or Fashion dolls toys experience will be beneficial Pro-E, SolidWorks or other 3D modelling skills will be helpful Knowledge of toy regulations and standards would be advantage Respects the process and company’s practices, don't worry about challenging the status quo. Problem solving skills and critical thinking. Innovative, passionate, initiative and adaptive, while we encourage everyone to express your ideas! Positive relationship, communication, strong presentation skills help bringing trust and boost productivity. Good command of written and spoken English and Chinese (Cantonese and Mandarin) Love Toys and Play! Create joy and community through the magic of play. 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 . 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: United States Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 ROLE OVERVIEW As the Engineering Manager - Developer Productivity, you will lead a high-impact team focused on improving developer workflows, reducing friction, and enhancing the overall engineering experience. You’ll collaborate across teams to identify bottlenecks, implement scalable solutions, and foster a culture of continuous improvement. Your work will directly influence the speed, quality, and happiness of our engineering organization. RESPONSIBILITIES: 1. Infrastructure & Tooling - Oversee the development and maintenance of CI/CD pipelines, build systems, and internal tools, including AI-powered internal tooling and agents. - Ensure our developer infrastructure is scalable, reliable, and secure. - Evaluate and implement new AI-native technologies, considering token economics, compute costs, and AI spend alongside productivity gains. 2. Team Leadership & AI People Development - Build, mentor, and lead a team of engineers focused on developer productivity. - Foster a culture of collaboration, innovation, and accountability. - Set clear goals and provide regular feedback to drive team performance in partnership with your Director. - Assess each report's AI fluency level (Assisted, Augmented, Native) and set individual growth targets. - Include AI fluency as a coaching topic in 1:1s; pair less AI-fluent engineers with AI-native peers for knowledge transfer. - Create space for AI experimentation: dedicated time, safe-to-fail projects, and learning sprints. - Recognize and reward AI-driven improvements in performance conversations. 3. Collaboration & Communication - Work closely with engineering, product, and design teams to align priorities. - Advocate for developer needs and ensure alignment with company goals. - Communicate capabilities and limitations to non-technical stakeholders. - Write specs, rules files, and documentation that make AI more effective for the whole team. 4. Metrics & Continuous Improvement - Define and track key metrics to measure developer productivity, satisfaction, and AI-driven productivity gains. - Use data-driven insights to prioritize initiatives and demonstrate impact. - Track team-level AI adoption metrics and report on AI-augmented workflow effectiveness. - Continuously iterate on processes to improve engineering velocity and quality. 5. AI-Native Developer Experience - Identify and eliminate pain points in the development lifecycle, with a focus on AI-augmented workflows. - Drive adoption of AI coding tools (Cursor, Brain, copilots) as the default across engineering teams. - Ensure every team member has access to and is actively using AI tools; track adoption and remove blockers (tooling, access, training). - Partner with engineering teams to design AI-augmented development workflows that multiply team velocity. - Coach engineers on the Builder model: planning, delegating to agents, reviewing with judgment, and shipping with velocity. 6. AI Governance & Risk - Ensure the team follows AI usage guidelines (data handling, code review, IP considerations). - Flag risks from AI-generated code (security, correctness, licensing) proactively. - Maintain visibility into what AI tools the team is using and how they're being used. - Run regular retros and feedback loops on AI-related outcomes. - Review AI-generated outputs alongside the team to build shared quality standards.   QUALIFICATIONS: - Experience: 7+ years in software engineering, with 3+ years in a leadership role managing engineering teams. - Technical Expertise: Strong understanding of developer tools, CI/CD pipelines, and modern software development practices. Hands-on experience with AI coding tools (Cursor, Claude Code, Codex, or similar) and an understanding of how to integrate them into engineering workflows. - AI Fluency: Demonstrated ability to operate at the AI Augmented level or above: you personally use AI tools daily and have coached others on effective AI-assisted development. Familiar with prompt engineering, context engineering, and token economics. - Builder Mindset: Comfortable with the 80/20 model (planning and review vs. direct execution). Experience orchestrating work across humans and AI agents, with strong judgment on when to delegate to AI vs. when human decision-making is critical. - Leadership Skills: Proven ability to build and lead high-performing teams. Experience assessing and developing AI fluency across a team. - Problem-Solving: Track record of identifying inefficiencies and implementing scalable solutions, including building or adopting AI-powered tooling and eval frameworks. - Governance Awareness: Understanding of AI & non-AI related risks (security, correctness, licensing, data handling) and experience establishing quality standards for outputs. - Collaboration: Exceptional communication and stakeholder management skills. Ability to translate AI capabilities and limitations to non-technical audiences. - Mindset: Passion for improving developer experiences and driving organizational impact through AI-native practices with a customer first mentality.   WHY JOIN US? - Impactful Work: Shape the future of developer productivity at a fast-growing, AI-native SaaS company. - AI-Native Culture: Work in an organization that treats AI as a core competency, not a nice-to-have, with industry-leading investment in AI tooling, agents, and engineering workflows. - Builder Operating Model: Join a team that's redefining how software gets built: orchestrating AI agents, shipping with compound engineering, and measuring what matters. - Growth Opportunities: Advance your career on a clear AI-native career pathway with structured fluency levels and development support. - Flexible Environment: Enjoy the freedom of remote work with a global team. Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: Montreal, Canada ROLE OVERVIEW: Working on interfaces and interactions between the Payload and the rest of the Satellite (Platform) at system level, during design, AI&T;, and in-orbit operations. Daily coordination with Payload, C&DH; OBDH, Satellite Operations, FSW, FDIR teams. Responsible for all interface control documents (ICDs). KEY REQUIREMENTS: - 7+ years systems engineering at satellite level for telecom satellites (ideally digital payload) - Sub-system experience in 1+ of: Communication Payload, FSW, C&DH;, FDIR, Satellite Operations - Ability to coordinate payload-related satellite tests in AI&T; - Experience in phases B/C/D/E of space programs - Owns/produces Mechanical and Electrical ICDs - Excellent coordination and interpersonal skills - 50%+ on-site in Montreal

Задачи: - Развивать ядро матчинга: retrieval кандидатов по текстовым, картиночным и мультимодальным эмбеддингам, обучать модели классификации пар, работать с атрибутами товаров - Улучшать NLP-часть пайплайна с учетом специфики оптовых товаров: обработка названий, извлечение атрибутов из описаний, дообучение эмбеддинг-моделей - Доводить решения до прода и отвечать за них Требования: - Сильное понимание NLP: трансформерные модели, эмбеддинги, векторный поиск, опыт дообучения моделей под свою задачу - Опыт в задачах матчинга - Опыт в Data Science и ML Engineering с выводом моделей в продакшен от 3-х лет - Уверенные знания Python, ML-стека, SQL - Умение выбирать решение под задачу: не использовать нейросеть там, где достаточно эвристики, и наоборот - Опыт с CV и мультимодальными моделями (CLIP-подобные, metric learning), LLM/VLM в задачах классификации/ранжирования будет плюсом

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is hiring a Senior Electrical Engineer to play a key role in the electrical architecture, design, and development of next-generation power and charging systems for WHOOP wearable technology. As a member of the Hardware Engineering team, you will own critical electrical architectures, designs, and subsystems, translating product and system requirements into robust, highly integrated hardware. You will work closely with Electrical, Mechanical, Firmware, Systems, Manufacturing, Supply Chain, and Product teams to make critical design tradeoffs, solve complex technical challenges, and drive electrical systems from early development through validation and high-volume production. RESPONSIBILITIES: - Own electrical architectures, designs, and subsystems, translating product and system requirements into electrical specifications, component selections, schematics, and production-ready hardware - Design highly integrated, miniaturized, low-power, mixed-signal electronics, making informed tradeoffs across performance, power, size, cost, reliability, manufacturability, and schedule - Drive electrical designs through schematic capture, PCB layout and design review, prototype bring-up, characterization, debugging, design iteration, verification, and production readiness - Partner closely with Electrical, Mechanical, Firmware, Systems, Manufacturing, and other engineering teams to define interfaces, resolve system-level challenges, and ensure electrical designs perform reliably within the complete product - Evaluate new components, technologies, and design approaches to improve electrical system performance, address technical risks, and enable future product capabilities - Support new product introduction (NPI) and high-volume manufacturing through design for manufacturability, functional testing, failure analysis, and production ramp, partnering with suppliers and contract manufacturers and traveling up to 15% domestically and internationally as needed QUALIFICATIONS: - Bachelor's degree in Electrical Engineering or a related technical field, or equivalent practical experience - 5+ years of relevant electrical engineering experience, with demonstrated ownership of electrical hardware designs through development, prototyping, validation, or production - Strong electrical engineering fundamentals across analog and digital circuit design, power architecture and management, component selection, communication interfaces, and debugging of complex electrical systems - Demonstrated experience designing highly integrated electronics, including schematic capture, PCB design and layout review, and making architecture-, component-, and subsystem-level design tradeoffs - Experience with ECAD tools such as Altium or equivalent - Strong hands-on hardware development skills, including prototype bring-up, circuit characterization, debugging, and use of electrical test and measurement equipment - Strong analytical and problem-solving skills, with the ability to independently drive ambiguous technical problems, make sound engineering decisions, and collaborate effectively across multidisciplinary teams - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-Verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $140,000 - $195,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements. Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.

Location: Dallas, Texas, United States AI Engineer Opportunity Brunswick is on an exciting journey to harness the power of artificial intelligence and data science to enhance the way we work and the advice we provide to clients. As we continue to expand our AI capabilities, we are looking for an AI Engineer to join our growing team. In this role, you will be responsible for designing, developing, and maintaining AI-powered applications that deliver real value across the business. Working closely with our existing AI team, you will help build innovative solutions using modern AI technologies, with a particular focus on large language models (LLMs). This is an excellent opportunity for someone with hands-on experience developing and deploying AI applications who enjoys solving complex problems, working with a high degree of autonomy, and turning emerging technologies into practical, high-quality products. You will thrive in this role if you are curious, creative, and passionate about applying AI to solve real-world business challenges. You take pride in writing robust, maintainable code and enjoy collaborating with colleagues to continuously improve and expand our AI capabilities. About the Role Your day-to-day responsibilities will include: Support, run, and iterate existing AI applications. Design, develop, deploy, and maintain new AI applications which can be scaled across multiple business use cases, driving operational and commercial outcomes. Trial and test solutions with end users to iterate and optimize them. Research and analyze data sets using a variety of statistical and machine learning techniques. Track and understand the evolving AI landscape. What We're Looking For The successful candidate will be a highly professional, well-rounded individual with strong problem-solving skills, engineering expertise, strategic thinking, and excellent interpersonal skills. They will have a strong academic background complemented by an outstanding career to date. Standout candidates will demonstrate: Experience building solutions with large language models (LLMs) and a deep understanding of the broader generative AI landscape. Experience designing datasets, conducting model evaluations, and fine-tuning foundation models to improve task-specific performance. Strong Python development skills, including experience writing production-quality code. Experience with front-end technologies such as JavaScript, React, HTML, and CSS. A solid understanding of statistics and machine learning fundamentals. An undergraduate degree in a quantitative discipline, such as Mathematics or Computer Science, or equivalent relevant industry experience. Excellent verbal and written communication skills, with the ability to communicate technical concepts effectively to both technical and non-technical audiences. The ability to thrive in a fast-paced, evolving environment with changing priorities and an iterative, user-focused approach to development. Curiosity, a strong sense of ownership, and the ability to work effectively both independently and collaboratively. Previous experience in professional services would be advantageous. Experience developing cloud applications on Microsoft Azure would be advantageous. Experience with DevOps practices and tools (e.g. CI/CD, Git) would be desirable. Knowledge of, or experience with, secure software development practices would be advantageous. Why Join Us Whether you are joining a client facing team, a core services team, or starting out on your professional career journey, joining Brunswick unlocks a range of employee benefits to support your financial future, health and wellness, family and community and continuous professional development. The successful applicant will be eligible for the following compensation and benefits package: Base Pay: The annual base compensation range for this role is $130,000 - $180,000 . The base pay offered will be determined by factors including experience, skills, training, office location, certifications, and education. Bonus Eligibility: Annual discretionary bonus contingent upon individual and firm-wide performance. Benefits: Medical, Dental, and Vision insurance. Disability insurance. Employee assistance program. Flexible spending account. Health savings account. Life insurance. Commuter Benefits. Generous Paid Time Off: 25 vacation days and 10 days sick leave, as well as 11 paid company holidays. Firm-sponsored 401(k) Plan with 3% automatic company contribution of base and bonus with an additional 1.5% profit share– immediate vesting. Career training and development opportunities. Employee discounts. Office Policy: At Brunswick, our work is a craft that thrives in teaching environments – whether in our offices or on-site with clients – through real-time observation, collaboration, human connection, clear guidance and by challenging one another to keep getting better. Our policy is that our team members are in person – either in the office or on-site with clients – at least four days each week. The firm will provide reasonable accommodation to qualified applicants or employees, as defined by applicable law. In addition to the application, the process may include virtual and in-person interviews, as well as an assessment, which may be timed. To request an accommodation during our application and hiring process, email americasaccommodations@brunswickgroup.com . About Brunswick Brunswick is a global advisory firm. We help companies tackle high-stakes issues, navigate complex stakeholder relationships, and deliver high-impact outcomes. Our clients value our ability to anticipate, shape, and respond to the key players and forces in the financial and investment arena, regulatory and geopolitical universe, NGO community, workforce and beyond. They rely on us for deep experience, fresh perspectives and original thinking. So, in Brunswick you will find an exceptional range of experience and talent with a rich mix of backgrounds. From the beginning, we have prioritized attracting, developing, and retaining the best professionals in the industry, united by a culture of inclusivity, excellence, and intellectual curiosity. Founded in 1987 in London, the firm has organically grown to 27 offices in 18 countries across the Americas, Europe, Middle East, Africa, Asia and Australia. We operate as a “one-firm firm” with no individual profit centers. This allows us to assemble fully integrated, bespoke teams for each client, able to draw on the full resources of Brunswick anywhere in the world. Brunswick is an equal opportunity employer.  All qualified applicants will be considered without regard to race, religion, color, national origin, gender, sexual orientation, age, disability, pregnancy, genetic information, or any other status protected by applicable law. Please read our Global Privacy Notice to understand how your data is managed.

Задачи: — Строить и развивать аналитическое хранилище компании на базе BigQuery. — Настраивать конвейеры данных из продуктовых и маркетинговых источников (AppsFlyer, Adjust, RevenueCat, Amplitude, Mixpanel, Facebook Ads и др.). — Формировать данные в удобный для аналитиков и продуктовых менеджеров вид. — Документировать модель данных. — Внедрять лучшие практики работы с хранилищем: слоистая архитектура (raw / staging / marts), соглашения по наименованиям, версионирование, тесты качества данных. — Взаимодействовать с продуктом, маркетингом и аналитикой для понимания бизнес-требований и трансформации их в структуру данных. Требования: — Опыт работы в data engineering от 2 лет или сильная аналитическая роль с реальным инженерным компонентом (уровень solid junior / light middle). — Уверенное владение Python для написания ETL/ELT скриптов, работы с API и автоматизации конвейеров. — Опыт работы с GCP (BigQuery, Cloud Functions, Cloud Storage). — Уверенный уровень SQL: оконные функции, CTE, оптимизация запросов. — Понимание принципов аналитических хранилищ: слоистая архитектура, нормализация/денормализация, идемпотентность конвейеров, инкрементальные загрузки. — Опыт интеграции данных из внешних источников через API или готовые коннекторы. — Сильные коммуникативные навыки для общения с нетехническими стейкхолдерами, умение задавать уточняющие вопросы и объяснять технические ограничения простым языком. — Опыт работы с Git: ветвление, код-ревью. Желательно: — Опыт с типичными источниками подписочного/мобильного стека: AppsFlyer, Adjust, Adapty, Amplitude, Mixpanel. — Понимание специфики мобильной атрибуции: SKAdNetwork, постбеки, детерминистическая и вероятностная атрибуция. — Опыт работы с BI-инструментами (Looker Studio, Metabase, Tableau, Power BI) на уровне настройки источника и построения дашбордов. — Знания Terraform / IaC для ресурсов GCP. — Опыт с CDC / стримингом (Pub/Sub, Dataflow) — плюс, но не критично. Условия: — Гибридный формат работы: 2 дня в офисе в Варшаве, 3 дня удаленно. — Обеды оплачиваются в офисные дни. — Возможность участвовать в командных мероприятиях. — Гибкий график с фокусом на результат. — Работа в молодой команде с энергией стартапа, без бюрократии и микроменеджмента.

Location: Chicago, IL, USA; New York, NY, USA; San Francisco, CA, USA About the role Every Chimer’s laptop is a door into our systems, and you’d own the platform that decides whether that door opens. We’re looking for a Senior Systems Engineer to take the reins on our macOS fleet — Jamf Pro, AutoPkg, zero-touch provisioning — and to sit shoulder-to-shoulder with Security on device trust, so posture checks happen before anyone touches corporate data. We’ve built our access platform entirely in the cloud (Jamf, AutoPkg, Okta, osQuery, CrowdStrike), and there’s a lot still to define: you’ll often be the one framing the problem and getting people aligned on a direction, not waiting for a spec. You’ll report to our IT Engineering Manager and join an after-hours/on-call rotation for critical endpoint issues — we’ll walk you through exactly what that looks like during the interview process. The base salary offered for this role and level of experience will begin at $152,000 and up to $210,000. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience In this role, you can expect to Own our Jamf Pro environment end to end — configuration profiles, smart groups, policies, MDM commands, and the change standards that keep it all sane — and set the technical direction for where it goes next. Run the AutoPkg pipeline that gets software onto the fleet: recipes, overrides, trust verification, automated import into Jamf, plus packaging, patching, and disk encryption globally. Make day one work for new Chimers through zero-touch provisioning and enrollment (ADE, Setup Assistant, bootstrap workflows) that just happens without anyone filing a ticket. Leverage AI and automation tools to accelerate script development, troubleshoot complex endpoint issues, and scale operational workflows. Write the scripts and integrations (Python, Swift, Bash, Go, plus vendor APIs) that delete manual IT work — and build them so other engineers can adopt them instead of rebuilding them. Partner with Security to push our Zero Trust model forward, wiring device posture into Okta so device health is a real factor in authentication and app access. Bring our compliance story to life — CIS-style benchmarks applied with a documented, risk-based rationale, plus the metrics and reporting that show the real inventory, health, and compliance state of every device. Lead work that crosses IT Support, Security, and People, act as Tier 3 for the gnarliest endpoint problems, and mentor the engineers and technicians around you through documentation, guidance, and example. To thrive in this role, you have 8+ years managing macOS at scale with an enterprise MDM (Jamf Pro, Kandji, Mosyle) and/or open-source tooling (Munki, Puppet, Chef). Real production experience with AutoPkg — building and operating recipes, overrides, trust controls, and automated promotion into an MDM. Familiarity with AI-assisted development and prompt engineering to drive efficiency in automation, documentation, and troubleshooting. Deep knowledge of Apple’s MDM protocol and Configuration Profile specs, including where Declarative Device Management is taking things. Command of macOS internals: installers and packages, LaunchDaemons and LaunchAgents, the preferences subsystem, system extensions, built-in security tooling (Endpoint Security Framework, SIP, XProtect, Gatekeeper, openBSM), and unified logs. Fluency in at least one scripting or general-purpose language (Python, Swift, Bash, Go) for automation and API work, and a solid grasp of Zero Trust / BeyondCorp and how endpoint posture feeds access decisions. A track record of decisions that span multiple systems, where you have to weigh scalability, compliance, cost, and what someone will have to maintain three years from now. Comfort in ambiguity and the communication skills to match — you can define a problem, bring stakeholders along, and write the kind of documentation that scales understanding across a distributed team. Bonus points if you bring Jamf Certified Admin (300/400), Terraform or other IaC for SaaS and MDM config, osQuery/CrowdStrike experience, Okta device trust integrations, or Windows endpoint management (Intune, PowerShell, MSI packaging) — Windows is a smaller slice of our fleet. #LI-Onsite #LI-WS1 Below is the base salary offered for this role and level of experience. Full-time employees may also be eligible for bonus(es), competitive equity, and benefits. For commissioned roles, the base salary listed in this job description does not include incentive/variable pay. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience. Wage Notice $152,000 — $210,000 USD A little about us At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential. We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members. We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress. We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential. Because if we don't—who will? *Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC. What we offer for our full-time, regular employees 🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. 💻 Benefits that support your work and life, including backup child, elder, and pet care and subsidized commuter benefits for eligible employees. ✨ Comprehensive health, financial, and wellbeing benefits designed to support you at every stage of life. 🏝 Generous vacation policy and company-wide paid days off 🫂 1% of your time off to support local community organizations of your choice 👟 Annual wellness stipend to use towards eligible wellness related expenses 👶 Up to 22 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents 👪 Access to family planning reimbursement 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals. Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: accommodations@chime.com . To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice .

Точка Банк — финтех-компания, которая создаёт продукты для предпринимателей и предприятий. Вакансия Research Engineer с удалённой работой или возможностью работать в любом офисе компании в городах присутствия. Зарплата до 600 000 рублей в месяц. Подробное описание вакансии доступно по ссылке: https://hr.tochka.com/vacancies/catalog/research_engineer/?utm_source=linkedin&utm_medium=social&utm_campaign=free_channels.

Требования: - sql, базы данных, python, аналитический склад ума Обязанности: - построение ETL-процессов - работа с современным стеком трансформации - оркестрация данных - управление хранилищами - визуализация смыслов - оптимизация выборок Условия: Срочный трудовой договор на 3 месяца, удаленно/офис/гибрид. Стажировка для студентов из любых ВУЗов.

Databricks, an American IT firm specializing in a unified cloud platform for big data and AI, is seeking Forward Deployed Engineers in Amsterdam and Senior Forward Deployed Engineers in Stockholm. Candidates should have experience with Python, Scala, JavaScript or TypeScript, Apache Spark, and cloud platforms such as AWS, Azure, or GCP. Familiarity with CI/CD pipelines, MLOps, machine learning and AI models, as well as AI APIs, is required. These positions are on-site roles.

Location: United Kingdom, London 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. Role Overview: We are seeking a Senior Director to lead our Enterprise Reporting and Analytics Engineering organization, a team of analytics engineers, report developers, visualization specialists, and people leaders. This organization focuses on the last mile of the enterprise data supply chain: the semantic models, curated data products, metric definitions, and consumption experiences that turn engineered data into decisions. This is not a traditional reporting leadership role; the classic notion of “reporting” in the form of a myriad of dashboards and filters is racing towards obsolescence. But the need for data and insights, and the need to deliver it in a way that is digestible and actionable, is timeless. Yes, governed dashboards and trusted reporting remain the foundation, and this leader must be excellent at that foundation. But the mandate is to move the organization decisively beyond static reporting toward a proactive, intelligent analytics capability: partnering with Data Science to productize and visualize their models, enabling generative AI and LLM-based access to our data, building exception-based systems that alert users when outcomes deviate from expectation in a statistically meaningful way, and designing agents that monitor data continuously and deliver insight without being asked. Analytics engineering shares much of its DNA with data engineering — modeling, transformation, testing, version control, CI/CD, performance and cost discipline — but is oriented toward business enablement rather than platform and pipeline. Success in this role therefore depends as much on partnership as on technical depth. This leader will work shoulder to shoulder with Data Engineering on the boundary between platform and consumption, with Product Management on roadmap and requirements, with Data Science on advanced analytic products, and with Analytics Operations on a disciplined intake and prioritization process that makes the best possible use of finite capacity. The ideal candidate has spent years building the traditional foundations — governance, metadata, lineage, dimensional modeling, engaging with enterprise BI platforms— and is now looking to apply that rigor to a fundamentally different generation of analytic products in new and innovative ways. What you'll be doing: Organizational Leadership Lead, coach, and develop an organization of approximately 30 people, including managing through frontline managers; own hiring, role clarity, career pathing, performance management, and succession planning. Define a multi-year vision and roadmap for enterprise reporting and analytics engineering, and translate it into quarterly outcomes the team and its partners can measure. Partner closely with Product Management to jointly shape the multi-year enterprise end-to-end data strategy. Own the organization's budget, vendor relationships, and contractor or offshore capacity. Establish and sustain an engineering culture within an analytics function: peer review, automated testing, documentation standards, source control, CI/CD, etc. Analytics Engineering and Data Architecture Drive maturity of the last-mile architecture in partnership with Data Engineering: curated marts, semantic layers, reusable data products, and certified datasets that serve reporting, ai enablement, data science, and downstream applications. Define and enforce dimensional modeling standards, transformation frameworks, and modular, tested, version-controlled analytics code. Own the enterprise metric layer so that key business measures carry a single, governed definition regardless of where they are consumed. Partner with Data Engineering to define clear contracts and handoffs between pipeline and platform work and last-mile modeling, including shared tooling, standards, and escalation paths. Manage query performance, warehouse consumption, and platform cost as first-class engineering concerns. Data Governance, Metadata, and Lineage Own cataloging, business glossary, data certification, and stewardship workflows, leveraging tools such as Atlan as the primary metadata platform. Maintain column-level lineage across the analytics estate to support impact analysis, change management, audit, and root-cause investigation. Leverage data access provisioning and entitlement models, including row- and column-level security, in partnership with Security, Privacy, and Compliance. Collaborate with Data Engineering to drive data quality monitoring, freshness and availability SLAs, observability, and incident response for analytic assets. Enterprise Reporting and Data Visualization Drive analytics engagement by leveraging enterprise visualization and provisioning platforms, including Domo and Tableau, in partnership with Data Engineering. Ensure best practices are followed in data architecture, governance, adoption, performance, and total cost management. Set visualization and information design standards that make reports readable, consistent, accessible, and decision-oriented. Rationalize the existing reporting portfolio: retire redundant and unused assets, consolidate overlapping content, drive down tech debt and drive consumption toward certified sources. Build a durable self-service capability through training, templates, community, office hours, and clear guardrails on what belongs in self-service versus centrally managed content. Advanced, Proactive, and AI-Enabled Analytics Partner with Data Science to productize their work: build the visualization, interaction, monitoring, and feedback loops that turn models and research into products the business actually uses. Partner with Product Management and Data Engineering to enable generative AI and LLM access to enterprise data. This includes preparing the semantic and metadata foundation that makes data legible to models, delivering conversational analytics, text-to-SQL, and retrieval-augmented experiences on governed sources, and establishing guardrails, evaluation, and accuracy monitoring so that answers can be trusted. Build exception-based analytics that detect when an outcome deviates from its expected value in a statistically significant way, using seasonality-aware baselines, forecast residuals, control limits, and anomaly detection rather than static thresholds. Route those exceptions to accountable owners with context, likely drivers, and a recommended next action; actively tune sensitivity and volume to prevent alert fatigue and preserve signal. Design and deploy analytic agents that proactively monitor data, investigate variances, assemble narrative explanations, and deliver insight into the tools where people already work. Shift the organization's consumption model from pull to push: the measure of success is not how many people opened a dashboard, but whether the right person was told the right thing at the right time. Cross-Functional Partnership, Intake, and Prioritization Operate as a true partner to Product Management: contribute to roadmap, requirements, user research, and release planning, and run analytics with a product mindset covering personas, adoption metrics, and asset lifecycle management. Partner with Analytics Operations to run a transparent intake, triage, sizing, and prioritization process, with published capacity, explicit tradeoffs, and reliable delivery commitments. Make capacity constraints visible to stakeholders and executives, drive reuse over one-off builds, and decline or defer work with evidence rather than friction. Serve as a senior, executive-facing partner to business functions, translating ambiguous business questions into well-scoped analytic solutions. What we're looking for: Bachelor's degree in Computer Science, Information Systems, Engineering, Statistics, Mathematics, Economics, or a related quantitative field; equivalent professional experience will be considered. 15+ years of progressive experience in data, analytics, or business intelligence, including 8+ years leading teams and 4+ years managing managers. Demonstrated experience leading an organization of 25 or more people in a large, matrixed enterprise. Strong hands-on foundation in SQL, dimensional modeling, and ELT/ETL design, with production experience on a modern cloud data warehouse or lakehouse (for example Snowflake, Databricks, BigQuery, Redshift, or Synapse) and a transformation framework such as dbt. Experience applying software engineering practices to analytics work, including Git-based workflows, automated testing, and CI/CD. Enterprise-scale leveraging of BI and data visualization platforms such as Domo, Tableau, Power BI, or Looker, including governance, provisioning, adoption, and cost management. Demonstrated ability to participate in driving data governance program covering catalog, lineage, glossary, stewardship, quality, and access, using platforms such as Atlan, Collibra, Alation, or Informatica. Proven track record of delivering jointly with Data Engineering and Product Management, with clear ownership boundaries and shared accountability. Direct experience partnering with Data Science, including operationalizing, visualizing, and monitoring model output for business consumption. Working command of the statistical concepts underlying exception detection, including hypothesis testing, confidence intervals, variance and control limits, seasonality, and forecasting. Experience running a formal intake, prioritization, and capacity planning process for a shared services or platform organization. Excellent executive communication and influence skills, with the ability to operate effectively amid ambiguity and competing priorities. Experience managing budget, vendor contracts, and platform licensing. Preferred Skills: Master's degree or MBA in a related field. Production experience delivering LLM-based analytics: retrieval-augmented generation over governed data, text-to-SQL or conversational BI, semantic layers designed for model consumption, and prompt, evaluation, and cost monitoring frameworks. Experience designing agentic workflows and orchestration for monitoring, investigation, and notification use cases. Hands-on experience with Atlan, Domo, and Tableau specifically. Proficiency in Python or R for prototyping, and familiarity with common statistical and ML libraries and MLOps concepts. Experience deploying anomaly detection at scale, including alert routing, suppression, and fatigue management. Familiarity with data product and data mesh operating models, domain-aligned ownership, and data contracts. Experience operating in an Agile or product operating model at scale, including portfolio, OKR, and roadmap management. Deep experience with the “Silicon Valley” school of Product Management, as exemplified by the “Marty Kagan”-style academic approach a significant plus. Experience leading global or matrixed teams, including offshore or vendor-partnered delivery models. Track record leading a major platform migration, consolidation, or reporting rationalization effort. Demonstrated success attracting, developing, and retaining senior technical talent in a competitive market. 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: Canada Role overview: We are seeking a Spacecraft EMC Systems Engineer for its high-performance spacecraft for our remote sensing and communications satellites. The Spacecraft EMC Systems Engineer will own the EMC concept, analysis, verification and mitigation for multiple satellite programmes, driving architecture decisions, leading cross-disciplinary teams. He will ensure all electrical-subsystem on the bus and payload, from requirements capture to hardware design, do not interfere with themselves or launch vehicles. The role works closely with platform and payload teams to ensure an electrically clean, reliable and launch-ready spacecraft. Tasks summary: EMC Architecture Concept & Requirements • Capture, allocate and trace EMC functional, performance, and requirements. • Define the EMC architecture (shielding strategy, grounding scheme, antenna placement, mode-control, and harness segregation requirements & routing constraints). EMC Analysis & Electrical Design • Perform EMC analyses of the whole spacecraft (accounting for the payload specifics) for radiated/conducted emission and susceptibility, antenna coupling, shielding effectiveness, fuse blowing…etc. and verify compliance early in the design cycle. • Recommend mitigation such as shielding, filtering, grounding schemes, layout rules. DC Power Distribution • Review DC power distribution architecture (primary bus, secondary bus lines, converters, fusing, protection) for EMC/EMI aspects. • Review conductors, termination, connectors and back shells (material, gauge, shielding…etc.) that satisfy EMI control requirements. Cross‑Functional Coordination, Stakeholder & Program Interaction • Communicate technical status, risk assessments and trade‑study results to senior management and/or customers or partners. • Support ICDs with payload and platform teams and suppliers. • Act as the EMC authority in System and subsystem design reviews • Liaise with RF, Power, Structures, Propulsion, Software and Ground-Segment teams to resolve cross-disciplinary EMC issues early. • Support B&P (Phase 0 & pre-Phase A). Integration & Verification (IVV) • Author the EMC Verification Master Plan covering component level, subsystem level and full spacecraft tests (CE/CS, RE/RS). • Oversee test-facility set-up, instrumentation calibration, test execution, data reduction and results certification. • Author test procedures, and acceptance criteria. • Lead CE/CS tests, RE/RS tests on hardware and review suppliers test results. Technical Leadership & Mentorship • Mentor, guide junior engineers and interns and provide EMC training sessions. • Act as technical liaison with customers, partners and external vendors. • Act as Continuous Improvement stakeholder. • Contribute to Client’s knowledge‑base, process enhancements, and standards development. Configuration, Documentation & Standards Management • Participate in Change Control Boards (CCB) and ensure impact analyses are performed for any electrical change. • Maintain GDIR and EDTS streamlining. • Ensure all artefacts, analysis and documentations are version controlled in PLM environment. • Support design reviews (SRR, PDR, CDR, MRR/TRR…etc.). • Support Technology Road‑Mapping & Innovation. On‑Orbit & Operations Support • Support root‑cause investigations for on‑orbit anomalies; update design baselines and lessons‑learned. • Support SOOH development and associated operator training. Required Qualifications: • B.Sc. in Electrical Engineering, Aerospace or Physics, (M.Sc. preferred) with 10 + years of electrical design engineering experience on LEO/MEO/GEO missions. • Proficiency in spacecraft and unit EMC requirements and simulations. • Prior experience supervising a team of EMC engineers or leading multi-disciplinary task-forces. • Strong understanding of aerospace system engineering fundamentals • Hands-on individual who can support systems integration processes and capability to test systems and resolve problems. • Experience with Confluence and JIRA. • Demonstrated capability to efficiently work with little to no supervision. • Ability to distill complex problems to fundamentals to solve with analysis, similarity, or creativity. • Demonstrate excellent written and oral communication skills in English; knowledge of French will be considered an asset (Contact with clients outside Quebec and work on deliverables in English).