Mid-Level Data & Reporting Engineer – Data Engineering & Cloud

The role is for a leading global bank focused on fostering a data-driven culture through innovative analytics and technology in the financial industry. The position is Kraków-based with a hybrid work model, supporting the Unlock pillar of the bank's strategy to enhance customer and colleague experiences, increase revenue, and optimize risk management.

• 3+ years of experience in data engineering or related fields.
• Proficiency in Python, TSQL, and/or C#.
• Deep knowledge of data lifecycle management including sourcing, ingestion, data warehousing, and cloud migration.
• Experience working with Google BigQuery and Google Looker Studio.
• Hands-on experience with ETL tools, data modelling, and automation of data pipelines.
• Strong analytical, problem-solving, and stakeholder collaboration skills.

Nice to have:

• Experience with Qlik Sense, PowerApps, Alteryx, or Collibra.
• Familiarity with JIRA and cloud migration projects.
• Knowledge of APIs and feature engineering.
• Background in data self-service automation.

• Develop data technology solutions using Python, TSQL, C#, and other relevant languages.
• Support technical leadership by evaluating and recommending data consumption engines and new technologies.
• Create, optimize, and maintain data warehouses and big data systems to ensure data integrity and accessibility.
• Design and implement secure, automated data pipelines and analytics processes supporting real-time and batch data flows.
• Deliver complex reports and visualizations within Google Cloud and/or Microsoft SQL Server environments, including Looker Studio / Data Studio.
• Collaborate with stakeholders to gather requirements, understand process logic, and refine data architecture solutions.
• Monitor data quality, performance, and security across platforms while managing risk and solving bugs efficiently.

Only candidates with an existing legal right to work in the European Union will be considered for this role.