Data Engineer
Nebius · Germany; Israel; Netherlands; Prague, Czech Republic; Remote - Europe; United Kingdom
Posted 12 days ago
or apply directly on Nebius's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 12 days Nebius's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- No 9% of Nebius's roles list one
- Ghost-job risk at Nebius
- low 0 stale, 17 reposted of 384 open
- Hiring momentum
- 508 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Nebius's own greenhouse board since 2026-08-03. Full hiring picture for Nebius.
About this role
As a Senior Data Engineer at Nebius, you will be responsible for designing, delivering, and operating complex data pipelines and datasets that support analytics and data-driven products. You will collaborate with product and business teams to translate requirements into scalable data models, improve data quality and reliability, and mentor other engineers. Your role will also involve making architectural decisions and participating in on-call rotations to maintain system health.
- benefits
- 3/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Nebius as an employer.
What you need
- 5+ years of experience in data engineering, backend engineering, or a related role; or equivalent experience delivering and operating production data systems.
- Proven experience independently delivering complex data pipelines or data-platform capabilities from problem definition through production operation.
- Strong Python and SQL skills, including writing maintainable production code and optimizing non-trivial queries.
- Hands-on experience with workflow orchestration tools such as Airflow, Prefect, or Dagster.
- Strong understanding of data modeling, including designing maintainable analytical models and data contracts for multiple consumers.
- Solid knowledge of data architectures and storage systems, including the trade-offs between different processing and storage approaches.
Nice to have
- Experience with real-time or event-driven data platforms and streaming technologies.
- Experience building or operating cloud-native services with Docker and Kubernetes.
- Familiarity with Infrastructure as Code, particularly Terraform.
- Experience with data governance, access control, privacy, and compliance requirements such as GDPR or SOC 2.
- Experience with data observability and quality tools or frameworks, such as Great Expectations.
What you get
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and ownership
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
Worth weighing
- No salary listed
- Expectations for on-call rotation may require additional commitment
- Role involves both technical and mentoring responsibilities, which may vary in focus
Summarised from Nebius's posting. Read the full original.
Listed by Nebius on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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