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Senior Data Engineer

Nebius · United Kingdom

Confidence
Medium confidence
Posted
25 Oct 2026
First seen
26 Oct 2026
Last checked

Evidence

Medium confidence

Nebius is on the UK Home Office register. The posting doesn’t mention visas.

Sponsor register

UK Home Office Register of Licensed Sponsors

Listed as Nebius UK Ltd. London · Skilled Worker route · A rating. Snapshot 26 Oct 2026.

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Job posting

Doesn’t mention visas or relocation.

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Seen on the job board

First seen 26 Oct 2026. We check every day and remove closed roles.

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Being on the register means Nebius can sponsor visas. It doesn’t confirm this role qualifies, so check with the recruiter.

About the role

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.

Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel.

Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role The 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. We 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.

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