Senior Data Engineer (Azure/Databricks)

DCG is a space where business needs and people's ambitions meet. They help candidates find an environment to develop and assist companies in building effective teams by closely listening and responding to what matters to them, creating lasting and valuable relationships.

• 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 to 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: minimum 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

• 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