Data Engineer (44281)

An Advanced Analytics and Data Engineering project in the banking sector in Stockholm is strengthening its team with a Data Engineer focused on building and maintaining cloud-based data platforms and data products. The role covers designing and optimizing ETL/ELT pipelines in Azure Databricks, data governance with Unity Catalog, integrations in Informatica IDMC and CI/CD in Azure DevOps. Required are 5+ years of Azure Data Engineering experience, advanced Python, PySpark and SQL, and fluent English.

🚀 Project
- Advanced Analytics / Data Engineering project in the banking sector
- development and maintenance of cloud-based data platforms and data products
- focus on data integration, processing, governance and automation
- design, development and optimization of ETL/ELT data pipelines
- processing large datasets with Azure Databricks, Python, PySpark and SQL
- data governance and access control with Unity Catalog
- Informatica IDMC integrations, mappings and taskflows
- CI/CD pipelines with Git and Azure DevOps
- ensuring data quality, scalability and performance

🎯 Skills
- 5+ years of Azure Data Engineering experience
- Azure Databricks and Unity Catalog
- advanced Python, PySpark and SQL
- Informatica IDMC / Cloud Data Integration (CDI)
- Azure Data Lake, Azure SQL Database, Blob Storage
- Git, CI/CD, Azure DevOps
- independent and communicative, able to work across technical teams
- English C1

💡 Nice to have
- banking or financial services experience
- experience working with data products
- Azure Synapse Analytics
- GitHub Actions

#LI-MM1