Data Engineer

• Working Pattern: Primarily client-site based, approximately 4 days per week as required
• Contract Type: Long-term contract, duration to be determined
• Language: Fluent German – mandatory requirement (B2/C1/C2/Native)
• Employment Type: EOR / Employment

About the Role

We are looking for an experienced Data Engineer (m/f/d) to join a high-performing Data and Technology team. In this role, you will work on complex data projects and support large-scale data initiatives and digital transformation projects.

The ideal candidate will have strong hands‑on experience with Python, Databricks, Snowflake and SQL , along with proven experience building and developing scalable data pipelines and data processing solutions.

Responsibilities

• Develop, build and maintain scalable data pipelines and data processing workflows
• Use Python for data processing, automation and data engineering solutions
• Build and optimize data pipelines using Databricks
• Work with Snowflake as a cloud data warehouse
• Develop and optimize SQL queries for data extraction, transformation and analysis
• Perform data transformations, data integration and data quality checks
• Collaborate with Data Scientists, Data Engineers, Analysts and Business Stakeholders
• Troubleshoot issues and optimize the performance of data pipelines and workflows
• Contribute to the development of robust and scalable data platforms

Requirements

For this position, hands‑on professional experience in all four of the following areas is required:

• Python – strong programming skills, particularly in data processing and automation
• Databricks – hands‑on experience building and managing data pipelines
• Snowflake – hands‑on experience with cloud data warehousing
• SQL – strong skills in writing queries and working with large datasets

WHY JOIN??

• The candidate is employed through an EOR arrangement .
• When they are assigned to a client project, they will travel to/work from the client site , approximately 4 days per week onsite .
• When the client project ends and they are on the bench , they remain employed and continue to receive their agreed compensation , even while waiting for the next client assignment.
• They may then be moved onto another client project when one becomes available.
• So the key attraction is continuity of employment/pay between projects , rather than being paid only when actively working on a client assignment.