{"id":2243243,"url":"https://alion.io/job/nebius-senior-data-engineer-2","title":"Senior Data Engineer","company":{"id":6364,"name":"Nebius","domain":"nebius.com","url":"https://alion.io/company/nebius","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_regions","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Prague, Czech Republic","Israel","Netherlands","United Kingdom","Germany"],"countries":["CZ","IL","NL","GB","DE"],"hiring_countries":["DE","FR","GB","AT","BE","BG","HR","CZ","DK","FI","HU","IE","IL","IT","NL","NO","PL","RO","ES","SE","CH","EE","GR","IS","LV","LI","LT","LU","MT","PT","SK","SI"],"hiring_countries_total":32,"salary":null,"salary_estimate":{"min_usd":99000,"max_usd":256000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2127},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Dagster","optional":false},{"name":"Prefect","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Docker","optional":true},{"name":"GDPR","optional":true},{"name":"Great Expectations","optional":true},{"name":"Kubernetes","optional":true},{"name":"SOC 2","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2025-12-05T12:14:29Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-11T19:34:01Z","board_verified":true,"closed_at":null,"days_open":310,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":309},"description":"About Nebius:\nNebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.\nBuilt by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.\nListed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.\nThe role \nThe Data Engineering team builds and operates the data platform that powers analytics, business intelligence, operational reporting, and data-driven products across Nebius. We ingest data from internal and external systems, develop reliable transformation pipelines and data models, and make trusted datasets available to business and product teams.\nWe are looking for a Senior Data Engineer to own substantial parts of our data platform and deliver complex data products end to end. You will turn ambiguous business needs into pragmatic technical solutions, make architecture and implementation trade-offs, and improve the reliability, scalability, and usability of our data ecosystem.\nYou will work closely with product, platform, and business teams, helping them use data effectively while ensuring that our systems remain maintainable and trustworthy as Nebius grows.\nYour responsibilities: \nOwn the design, delivery, and operation of complex data pipelines, datasets, and platform components.\nTranslate business and analytical requirements into scalable data models, reliable data products, and clear technical plans.\nDesign and evolve data architecture, storage, processing, and orchestration patterns for large-scale workloads.\nImprove data quality, observability, lineage, and incident response for critical datasets and pipelines.\nInvestigate and resolve challenging performance, reliability, and data-correctness issues in production.\nEstablish reusable tools, conventions, and automation that improve engineering productivity and reduce operational risk.\nWork with product teams and business stakeholders to define data contracts, priorities, and success criteria.\nContribute to technical direction through design reviews, thoughtful trade-offs, and documentation.\nSupport and mentor other engineers through reviews, pairing, and knowledge sharing.\nParticipate in the on-call rotation and take ownership of improving the operational health of the systems you support.\nMust-haves: \n5+ years of experience in data engineering, backend engineering, or a related role; or equivalent experience delivering and operating production data systems.\nProven experience independently delivering complex data pipelines or data-platform capabilities from problem definition through production operation.\nStrong Python and SQL skills, including writing maintainable production code and optimizing non-trivial queries.\nHands-on experience with workflow orchestration tools such as Airflow, Prefect, or Dagster.\nStrong understanding of data modeling, including designing maintainable analytical models and data contracts for multiple consumers.\nSolid knowledge of data architectures and storage systems, including the trade-offs between different processing and storage approaches.\nExperience designing for reliability: testing, monitoring, data-quality validation, alerting, debugging, and incident resolution.\nAbility to make technical decisions under ambiguity, explain trade-offs clearly, and collaborate effectively with engineers and non-technical stakeholder\nNice-to-haves: \nExperience with real-time or event-driven data platforms and streaming technologies.\nExperience building or operating cloud-native services with Docker and Kubernetes.\nFamiliarity with Infrastructure as Code, particularly Terraform.\nExperience with data governance, access control, privacy, and compliance requirements such as GDPR or SOC 2.\nExperience with data observability and quality tools or frameworks, such as Great Expectations.\nExperience improving engineering standards through shared libraries, platform tooling, technical documentation, or mentoring.\nWe conduct coding interviews as part of the process.\nBenefits & Perks:\nCompetitive compensation\nCareer growth and learning opportunities\nFlexibility and ownership\nCollaborative and innovative culture\nOpportunity to work on impactful AI projects\nInternational environment and talented teams\nWhat's it like to work at Nebius:\nFast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI \nEqual Opportunity Statement:\nNebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. 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