Job
You design and optimize data pipelines and ELT processes using SQL and Python, shape our data warehouse architecture, and implement automated quality tests in an agile environment.
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Job technologies
Your role in the team
- You develop and optimize data pipelines and ELT processes using SQL and Python, with PySpark also planned for the future.
- You’ll help shape our data warehouse/lakehouse architecture and build a data platform that is as platform-independent and maintainable as possible.
- You further develop our Git-based development processes and automate tests and deployments using CI/CD pipelines.
- You ensure reliable data by implementing automated quality checks, monitoring, and systematic error handling.
- You support the migration of our existing data processes to the new data platform while further developing existing solutions.
- You work closely with our Senior Data & BI Engineer and the IT team, discuss technical solutions, and help shape shared development standards.
- You document and maintain key components of our data platform and, over time, will also take on technical deputy responsibilities.
- You test and use AI-powered development tools while keeping code quality, data protection, and information security in mind.
Our expectations of you
Education
- You have a completed degree in (business) computer science, data engineering, or a comparable field, completed vocational training in IT, or relevant practical work experience.
Qualifications
- You have experience with data warehouse architectures and data modeling, and have already worked with a DWH or lakehouse platform.
- You think analytically, question existing solutions, and enjoy finding well-considered, pragmatic approaches to technical challenges.
- You work independently and in a structured manner, contribute your own ideas, and take responsibility for your work.
- You’re interested in new technologies, enjoy exchanging ideas with others, and share your knowledge with the team.
- Knowledge of PySpark / Apache Spark.
Experience
- You have very good SQL skills and good Python skills, and you have already gained experience developing data pipelines and ETL/ELT processes.
- You are familiar with Git, code reviews, and automated testing, and have hands-on experience with CI/CD pipelines.
- Experience with Microsoft Fabric, Databricks, or comparable data platforms.
- Experience with automated data quality testing, orchestration, or metadata-driven ELT processes.
- Experience with AI-assisted software development, for example using GitHub Copilot, Claude Code, or Codex.
What we offer
- Flexible working arrangements.
- 30 days of vacation per year.
- Clear company strategy and values.
- Open communication.
- Free employee parking.
- Job bike.
- Contribution towards occupational pension provision.
- Special payments for milestone work anniversaries.
- Subsidy for private supplementary health insurance.
- Personal health service provided by BetterDoc.
- Employee discount on our products.
- Water, tea, and coffee are available free of charge.
Topics you will work on
Job locations
About your employer
Propan Rheingas GmbH & Co. KG is a medium-sized energy supply company based in Brühl, providing solutions for private and commercial customers since 1925. The company specializes in liquefied gas, natural gas, and electricity as well as innovative energy technologies.
- Established Company
- Onsite, Hybrid
- Power Sector, Economy
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