Data Engineer

🕒 February 13

🌐 Czechia, Germany, +3 more countries – Remote

🇨🇿 Czechia – Remote 🇩🇪 Germany – Remote 🇮🇱 Israel – Remote 🇳🇱 Netherlands – Remote 🇬🇧 United Kingdom – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 70%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Nebius Group

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

Nebius Group is building one of the world’s leading AI infrastructure companies, focusing on providing the necessary compute, storage, and tools for developers in the AI space. Based in Europe and listed on Nasdaq, Nebius has a global presence with R&D centers across Europe, North America, and Israel. The company's primary offering is an AI-centric cloud platform designed for intensive AI workloads, complemented by various other businesses involved in generative AI development, edtech, and autonomous technology.

📋 Description

• Own the design, delivery, and operation of complex data pipelines, datasets, and platform components • Translate business and analytical requirements into scalable data models, reliable data products, and clear technical plans • Design and evolve data architecture, storage, processing, and orchestration patterns for large-scale workloads • Improve data quality, observability, lineage, and incident response for critical datasets and pipelines • Investigate and resolve challenging performance, reliability, and data-correctness issues in production • Establish reusable tools, conventions, and automation that improve engineering productivity and reduce operational risk • Work with product teams and business stakeholders to define data contracts, priorities, and success criteria • Contribute to technical direction through design reviews, thoughtful trade-offs, and documentation • Support and mentor other engineers through reviews, pairing, and knowledge sharing • Participate in the on-call rotation and take ownership of improving the operational health of supported systems • Deliver complex data products end to end for Nebius’s AI cloud platform and data-driven business and product teams

🎯 Requirements

• 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 • Experience designing for reliability: testing, monitoring, data-quality validation, alerting, debugging, and incident resolution • Ability to make technical decisions under ambiguity, explain trade-offs clearly, and collaborate effectively with engineers and non-technical stakeholder • 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 • Experience improving engineering standards through shared libraries, platform tooling, technical documentation, or mentoring • Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire • Coding interview required

🏖️ Benefits

• 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 • Fast moving • Bold thinking • Constant growth • Meaningful impact • Trust and real ownership • Opportunity to shape the future of AI