Data Engineer (Mid or Senior)

Jacobs' Digital & Data Hub in Kraków is part of a global organization building enterprise-scale AI and data platforms supporting advanced analytics and GenAI solutions in regulated and sensitive domains such as Government, Financial Services, Infrastructure, Energy, and Health.

• At least 3 years of commercial experience in data engineering or related roles.
• Hands-on commercial experience with Databricks (mandatory).
• Strong experience with Microsoft Azure data services, including Azure Data Lake and cloud-based data integration.
• Experience with Microsoft Fabric and its data engineering capabilities.
• Strong SQL skills and practical experience with Python, PySpark, or equivalents.
• Understanding of data modelling, ETL/ELT patterns, data quality and data governance.
• Ability to work in consulting environments and communicate technical topics clearly in English.
• Ability to work effectively in distributed, multicultural project teams.

Nice to have:

• Experience with Azure Data Factory, Synapse Analytics, Azure Functions or other Azure data services.
• Experience with Power BI or semantic modelling.
• Experience delivering data warehouses, lakehouses, chatbots or AI-enabled data solutions.
• Knowledge of CI/CD, Git, Docker or infrastructure-as-code practices.
• Experience with regulated, public-sector, utilities, financial-services or other complex client environments.
• Relevant Microsoft or Databricks certifications.

• Design, build and optimize scalable data platforms and pipelines using Azure services, Microsoft Fabric and Databricks.
• Develop robust batch and near-real-time data ingestion and transformation processes across Azure Data Lake and related services.
• Use Databricks, Delta Lake and Apache Spark to process, transform and manage large and complex datasets.
• Contribute to Microsoft Fabric solutions, including Lakehouse, Data Factory/Data Pipelines, notebooks and semantic data layers.
• Apply engineering practices for data quality, testing, monitoring, performance, security and cost optimization.
• Work closely with client stakeholders to understand requirements, explain technical options and translate business needs into deliverable data solutions.
• Contribute to data architecture, modelling, integration and technical design decisions.
• Collaborate with solution architects, analysts, software engineers, AI specialists and delivery leads.
• Prepare clear technical documentation and support knowledge transfer to clients and project teams.

Hybrid work model: candidates must work from Kraków or Warsaw office at least two days per week; remaining days may be remote.