Data Engineer

Project overview

This is a contract Data Engineer role in Stockholm, delivering end-to-end data solutions and data products with Azure technologies in collaboration with cross-functional teams. The core requirements are Azure Databricks and Unity Catalog, advanced Python and SQL, IDMC Cloud Data Integration, Git and CI/CD, and Azure cloud data architecture. Experience working with data products is also specified; banking or financial-services experience is preferred rather than stated as mandatory. The structured input gives a 5–7-year experience band, while the description says 5+ years of hands-on experience.

The work mode is not specified, and familiarity with Pandas, NumPy, and PySpark is noted as useful.

Responsibilities

• Presentation skills and the ability to adapt communication to the target group
• Very good communication and presentation skills with proven ability to collaborate with cross-functional teams
• Ability to collaborate and work effectively in teams
• Critical thinking and ability to identify core problems
• Independence and ability to work with little supervision
• Flexibility and adaptability to new situations
• Expertise in Azure Databricks: Extensive experience with Azure Databricks for data engineering, data science, and analytics solutions.
• Unity Catalog: Proficiency in using Unity Catalog for comprehensive data governance, access control, and lineage tracking across multiple environments.
• Advanced proficiency in Python for data engineering tasks, including designing and implementing ETL/ELT pipelines and developing reusable, modular code for efficient data transformations.
• Familiarity with Python libraries like Pandas, NumPy, PySpark,
• Strong SQL skills to design complex queries and optimize database performance.
• Experience working with Azure databases like Azure SQL Database, Synapse Analytics, and Data Lake for querying, processing, and managing large datasets.

Requirements

• Azure Databricks for data engineering and large-scale processing
• Unity Catalog for governance, access control, and lineage
• Advanced Python for modular ETL/ELT pipelines and transformations
• Strong SQL, including complex queries and performance optimization
• IDMC Cloud Data Integration, including mappings, tasks, parameterization, and runtime environments
• Git-based version control and CI/CD pipeline implementation
• Azure cloud data architecture, including Azure Data Lake or Blob Storage and Azure data services
• Experience working with data products

Project details

• Start: flexible
• Remote: hybrid
• Location: Sweden, SE