Data Engineer (Snowflake / Finance Data Platform)

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

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