Arbetsbeskrivning

Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry.

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