Python Data Engineer | Python Data Engineer (m/w/d)
König Fachpersonal GmbH & Co KG, Niederlassung Dortmund Office
Job Summary
As a Python Data Engineer in the energy trading sector, you will be responsible for designing and operating robust ETL pipelines and data integrations. Your day-to-day involves developing Python-based solutions for time-series processing using pandas and implementing secure REST APIs with modern standards like Pydantic and OpenAPI. You will work closely with trading desks, portfolio management, and external providers to ensure complex market data is delivered reliably in real-time. The role leverages Azure Cloud services for infrastructure and monitoring, ensuring secure data exchange via SFTP protocols. This position is particularly attractive due to its location in Berlin-Tempelhof with flexible and remote work options, a permanent contract, and a signing bonus. It offers a modern work environment within a long-standing family-owned company that values long-term collaboration and professional development in the dynamic field of energy market data.
Required Skills
Education
Degree in Computer Science or a completed vocational training with relevant further professional qualification.
Experience
- 2–5+ years in Data Engineering, Backend, or Integration development
- Professional experience in Python and API development
- Experience with stakeholder communication in multi-team environments
- Understanding of energy market or trading processes
- Experience with time-series data processing using pandas
Languages
Additional
- The role is based in Berlin-Tempelhof with remote work options available depending on skill set and distance. Requires the ability to coordinate with multiple departments including Trading and Operations.
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