Senior Data Engineer (Azure/Databricks)

Senior Data Engineer (Azure/Databricks)

Responsibilities:

• Design, development, and maintenance of data platform solutions in Azure cloud
• Working with large-scale datasets using Azure Databricks (including the latest platform features)
• Building and evolving data architecture (Data Lake, Delta Lake, Lakehouse, DWH, Data Marts)
• Implementation and maintenance of data pipelines (ETL/ELT) in Azure Data Factory / Databricks
• Designing and modifying data models aligned with business needs
• Supporting data and solution migrations from on-premise to cloud
• Ensuring data security and compliance with regulatory and cloud best practices
• Collaboration with technical and business stakeholders in a fast-changing environment
• Proactively identifying risks, communicating blockers, and proposing solutions
• Working with code repositories and CI/CD processes

Offer:

• Private medical care
• Co-financing for the sports card
• Constant support of dedicated consultant
• Employee referral program

Requirements:

• Minimum 5 years of experience in IT, including at least 3.5 years of commercial experience working with data in the cloud (production-grade projects)
• Strong expertise in Azure Cloud, especially data services: Azure Data Factory, Azure Data Lake, Azure SQL Server, Azure Synapse Analytics and Power BI
• Strong experience with Azure Databricks, with focus on: Delta Lake, Delta Live Tables and Unity Catalog
• Experience in designing architectures such as Data Lake, Delta Lake, Data Lakehouse, DWH, Data Marts
• Knowledge of CI/CD, Azure DevOps, and Git
• Hands‑on experience with on-premise → cloud migrations (various migration types)
• Understanding of secure data storage and processing in cloud environments
• Ability to work effectively in a low-process, rapidly changing environment
• English proficiency: min. B2+ (daily work in an international environment)

Nice to have:

• Assertive, proactive, and communicative
• Comfortable working in a “controlled chaos” environment
• Able to clearly communicate issues and blockers
• Does not rely on fully defined processes or complete documentation