For our client in the financial services industry, we are looking for an experienced Data Engineer specializing in Snowflake, SQL, and Python.
In this role, you will support the further development of a modern Finance Data Platform. The primary focus is on integrating financial data into Snowflake, enhancing existing Finance Data Marts, and building scalable, reliable data pipelines.
Design, develop, and maintain data pipelines from various Finance applications and source systems into Snowflake
Further develop existing Finance Data Marts and underlying data models
Integrate new Finance data sources using modern ETL/ELT technologies and data integration patterns
Ensure data quality, reliability, and availability across Finance data flows
Analyze, troubleshoot, and resolve data integration issues, implementing sustainable solutions
Support automation, deployment processes, and modern engineering practices, including CI/CD and DevOps
Collaborate closely with Finance teams, application developers, architects, and other technical stakeholders
Translate business requirements into scalable technical solutions
Document data flows, data models, and implemented technical solutions
Several years of hands-on experience in Data Engineering and Data Warehousing
Strong expertise in Snowflake and SQL, particularly in designing and building scalable data pipelines
Solid experience in data modelling, ideally including Data Vault
Strong understanding of ETL/ELT processes and modern data integration architectures
Practical experience with Python for data processing, integration, and automation
Knowledge of CI/CD pipelines, DevOps practices, and deployment automation is an advantage
Strong analytical, problem-solving, and communication skills
Experience working with financial data, Accounting, or Controlling is an advantage
Structured, independent, and solution-oriented working approach