Data Engineer

Senior Data Engineer – 14621

Stockholm, Sweden
Onsite
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Maggie M

HR Administrator

maggie@veritaz.se

Job Summary

  • Posted Date

    December 3, 2025

  • Work Type

    Onsite

  • Deadline

    2025-12-10

  • Schedule

    Full-time

  • Location

    Stockholm, Sweden

Job Description

This post is also available in: Svenska (Swedish)

Assignment Description:

We are looking for a Senior Data Engineer to join our dynamic team.

What you will work on:

  • Designing and implementing a modern, real-time data pipeline in Azure/Microsoft Fabric, including API ingestion, Eventstream processing, KQL-based storage and analysis, and Kafka event publishing
  • Taking end-to-end responsibility for architecture, implementation, operability, security, testing and documentation
  • Building resilient API integrations with strong focus on robustness, idempotence, error handling and performance
  • Ensuring high data quality in streaming environments through ordering, deduplication and real-time validation
  • Collaborating closely with product owners, architects, developers, security and domain experts to deliver scalable, observable and secure solutions
  • Establishing common engineering practices and strengthening team capabilities through workshops, pair programming and structured knowledge transfer
  • Contributing to CI/CD workflows and automation to ensure reliable and efficient delivery
  • Supporting governance, monitoring and cost control across Azure and Fabric components

What you bring:

  • Strong hands-on experience with Microsoft Fabric Real-Time Analytics: Eventstream, KQL database, OneLake and workspace governance
  • Advanced KQL skills, including queries, ingestion mapping, update policies and materialized views
  • Proficiency with Kafka (Confluent or Azure Event Hubs with Kafka protocol), including producer/consumer models, schema registry, security (TLS/SASL), topic design and operational handling
  • Solid experience with resilient API integration: retry/backoff, idempotence, parallelization and robust error-handling patterns
  • Strong understanding of streaming architecture principles: ordering, deduplication and real-time data quality
  • Good knowledge of Azure platform components such as VNet, Managed Identity, Key Vault, Monitor/Log Analytics, RBAC and cost optimization
  • Experience with CI/CD using GitHub Actions and/or Azure DevOps
  • Ability to document solutions effectively and transfer knowledge through workshops, playbooks and code reviews
  • Experience with Lumera or insurance/pension domain (meritorious)
  • Experience with Azure Data Explorer (ADX) and Purview (meritorious)
  • Experience with observability or data-quality frameworks for streaming environments (meritorious)
  • Experience with performance testing for streaming pipelines (meritorious)
  • A pedagogical and inclusive mindset, with the ability to coach teams and establish common ways of working
  • Strong communication skills with the ability to translate technical solutions into business value
  • A proactive, quality-driven, security-minded approach with the ability to balance PoC speed with long-term stability
  • Fluent in English and Swedish

If this sounds interesting, please send your CV to cv@veritaz.se

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