Data Engineer
Azure Data Engineer – 17668
Örebro, Sweden, Stockholm, Sweden
Onsite
Job Summary
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Posted Date
May 11, 2026
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Work Type
Onsite
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Deadline
2026-05-13
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Schedule
Full-time
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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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