Live opening · Posted 3 days ago

Data Engineer

Russell Tobin · Germany (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 3 days ago
CompanyRussell Tobin
LocationGermany (Remote)
Work modeYes
SkillsPython
SourceLinkedin
ListedPosted 3 days ago

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About the role

Description supplied by the original job listing.

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.

Work arrangement
Yes

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