Data Engineer

Data Engineer – Long-Term Contract

Location: Germany – Berlin, Cologne, Frankfurt, Düsseldorf, Munich, Hamburg or Stuttgart

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

Compensation: €600–€800 per day (depending on experience)

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.