Senior Data Engineer: Build Scalable Data Pipelines

Data Co Lab X; Amsterdam; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

Competitive compensation

Career growth and learning

Flexibility and ownership

Collaborative and innovative culture

Impactful AI projects

International environment

Zusammenfassung

Nebius in Amsterdam is seeking 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 trade-offs, and improve reliability, scalability, and data governance across pipelines.

Work closely with product and business teams, mentor engineers, participate in on-call rotations, and shape Nebius's data ecosystem.

Qualifikationen

• 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

Aufgaben

• 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 the systems you support.

Kenntnisse

Python

SQL

Data modeling

Data architectures

Reliability & monitoring

Decision making

Collaboration with non-technical stake

Tools

Airflow

Prefect

Dagster

Docker

Kubernetes

Terraform

Great Expectations

Jobbeschreibung

Nebius in Amsterdam is seeking 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 trade-offs, and improve reliability, scalability, and data governance across pipelines.

Work closely with product and business teams, mentor engineers, participate in on-call rotations, and shape Nebius's data ecosystem.