SE_Data Engineer_Senior

Strong hands-on experience building scalable data pipelines in Microsoft Azure using services like Data Factory, Databricks, and Blob Storage.

Advanced proficiency in Python and PySpark for transforming large datasets and handling structured/unstructured service contract data.

Experience with streaming and batch processing, including event-driven architectures (e.g., Service Bus, Kafka equivalents).

Solid understanding of data modeling and optimization in Azure Databricks (Delta Lake, partitioning, performance tuning).

Ability to implement robust CI/CD pipelines (Azure DevOps) and ensure data quality, monitoring, and reliability in Production.

API integration & system integration

Ability to connect AI models with systems.

Must be located in Gothenburg