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Data Engineer

Neko Health· Engineering
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Hybrid (Stockholm), Hybrid (Berlin), Hybrid (London)Full-timePosted 7mo ago

About the role

Data Engineer in Neko Health's Data-to-AI platform focused on building scalable, secure data systems for healthcare analytics and ML, with strong governance and regulatory compliance.

Responsibilities

  • Build and own scalable data pipelines for ingestion, integration, and processing across batch and streaming systems.
  • Architect and maintain robust data models across databases and lakehouse platforms supporting analytics and ML workloads.
  • Develop and own core data platform components and infrastructure.
  • Ensure data integrity and quality through monitoring, alerting, lineage, and traceability.
  • Manage and optimize data infrastructure including clusters, storage, and compute resources.
  • Implement metrics and observability across services using logging, tracing, and monitoring.
  • Troubleshoot production issues, pipeline failures, and performance bottlenecks.
  • Collaborate cross-functionally with data scientists, analysts, and backend engineers on modelling, governance, and integration.

Qualifications

  • Strong programming skills in Python and SQL.
  • Hands-on experience with relational and NoSQL databases, data lakes, and lakehouse technologies (e.g. Delta Lake, Parquet).
  • Experience working with cloud infrastructure (Azure, AWS, or GCP).
  • Familiarity with CI/CD pipelines and automated testing practices.
  • Strong data quality and observability experience including metrics, tracing, and alerting.
  • Experience working with data governance practices including lineage, cataloguing, access control, data contracts, and regulatory compliance.

Skills

Required:PythonSQLData pipelinesData modelingData governanceObservability
Last updated Oct 23, 2026. Interested? Apply on the company site.
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