Freelance Data Engineer (m/f/d)
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Remote | 
Freelance
Freelance Data Engineer (m/f/d)
About the Project
For our client, we are looking for an experienced Data Engineer to design and implement a robust data infrastructure. The project focuses on building a complete ETL pipeline using modern cloud technologies while complying with GxP standards. You will work independently on the architecture and implementation of a scalable data stack.
Project Details
Project start: 01/01/2026
Project duration: until 31/12/2026
Location: Remote
Workload: 100%
Your Responsibilities
- Development and implementation of an ETL pipeline using Python, PySpark/Spark, and AWS
- Design and optimization of the data stack architecture, including pipeline orchestration
- Data modeling and database setup using relational databases (PostgreSQL)
- Implementation and maintenance of unit and integration tests using pytest
- Documentation of technical implementations in compliance with GxP standards
- Application of DevOps practices using Terraform and AWS for deployment
Your Profile
- At least 5 years of experience in Python development and ETL processes
- Strong expertise in data modeling and batch processing pipelines (3+ years)
- Proven experience with PySpark/Spark and pipeline orchestration (3+ years)
- Solid experience with AWS, particularly Step Functions, Glue, Lambda, and S3
- DevOps skills with Terraform, as well as unit testing using pytest
- Experience with relational databases and data warehouses/data lakes
Reference number: 16947
Industry: Pharma
Project start: 01.01.2026
Duration: 31.12.2026
Employment type: Freelance
Contact
Gina Becker
