> Markdown version of [/jobs/ext/2291217-senior-data-engineer](https://www.wearedevelopers.com/jobs/ext/2291217-senior-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - **Company:** TELUS Digital - - **Location:** Pocking, Germany - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Amazon Web Services, Batch Processing, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Warehousing, Relational Databases, Software Debugging, Python (Programming Language), PostgreSQL, MongoDB, MySQL, Data Streaming, Data Lakes, Pyspark, Non-relational Database, Data Pipelines, Docker - **Published:** August 29, 2026 - **Apply:** https://www.adzuna.de/details/5858243184 ## About the Role * Strong proficiency in Python and PySpark * Working experience with cloud platforms like GCP and/or AWS * Solid understanding of ETL/ELT, data warehouse and data lake concepts. * Proficient in working with relational databases - preferably PostgreSQL and MySQL - aswell as non-relational databases, with a focus on MongoDB. * Driven by delivery and results - you get things done efficiently * Self-starter attitude with minimal need for hand-holding * Excitement for automating work using GenAI or scripting tools * Familiarity with SCD, CDC, Real-time Streaming vs Batch-processing. Nice to Have * Experience with CI/CD pipelines and Docker * Understanding of data governance and observability * Prior experience in fast-paced, execution-heavy teams ## Description * Build, deploy, and manage data pipelines using Python and PySpark * Develop and optimize ETL/ELT processes to support data integration across systems * Work directly with GCP and AWS services to implement scalable cloud-based data solutions * Own data workflows end-to-end - from ingestion to transformation to storage * Continuously monitor and improve pipeline reliability, speed, and data quality * Use GenAI and automation tools to speed up development and reduce manual effort * Proactively debug, troubleshoot, and resolve data engineering issues * Ensure data is available and trustworthy for analytics and downstream systems * Deliver high-quality code and documentation with a bias for action ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [MySQL Protocol Features You Should Be Aware Of](https://www.wearedevelopers.com/videos/100267-mysql-protocol-features-you-should-be-aware-of) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) ## Related Articles - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)