Data Engineer

Azure Data Engineer – 17668

Örebro, Sweden, Stockholm, Sweden
Onsite

Huy Tran

HR Administrator

cv@veritaz.se

Job Summary

  • Posted Date

    May 11, 2026

  • Work Type

    Onsite

  • Deadline

    2026-05-13

  • Schedule

    Full-time

  • Location

    Örebro, Sweden, Stockholm, Sweden

Job Description

Assignment Description

We are looking for an experienced Azure Databricks Data Engineer to support the development and delivery of production-grade data platforms within modern cloud-native environments.

What You Will Work On

  • Develop and maintain production-grade Azure Databricks data platforms
  • Build scalable batch and streaming data pipelines
  • Design and implement bronze/silver/gold data architectures
  • Develop reusable transformation frameworks and data processing workflows
  • Work with Apache Spark, PySpark/Scala, and Spark SQL solutions
  • Implement and optimize Delta Lake capabilities including schema evolution and incremental processing
  • Configure governance, permissions, lineage, and auditability using Unity Catalog
  • Support platform observability, monitoring, and operational optimization
  • Perform Spark performance tuning and optimization activities
  • Work with Azure integrations including ADLS, ADF/Synapse, Key Vault, and Entra ID
  • Contribute to CI/CD pipelines and deployment automation processes
  • Collaborate with cross-functional teams within enterprise data platform initiatives

What You Bring

  • Strong experience in Azure Databricks engineering
  • Proven experience delivering production-grade data platforms
  • Advanced expertise in Apache Spark technologies
  • Strong experience with PySpark and/or Scala
  • Solid understanding of Spark SQL and distributed data processing
  • Deep expertise in Delta Lake including:
    • ACID transactions
    • Partitioning strategies
    • Schema evolution
    • OPTIMIZE/ZORDER
    • Incremental and CDC patterns
  • Experience building scalable batch and streaming pipelines
  • Strong knowledge of bronze/silver/gold data architectures
  • Experience with governance and security in multi-team environments
  • Knowledge of Unity Catalog permissions, lineage, and auditability
  • Experience with service principals and managed identities
  • Strong understanding of Spark performance tuning and observability
  • Experience integrating Azure services such as ADLS, ADF/Synapse, Key Vault, and Entra ID
  • Experience with CI/CD practices using Azure DevOps or GitHub Actions
  • Strong analytical and problem-solving skills

 

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

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