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