Python Data Engineer | Python Data Engineer (m/w/d)
König Fachpersonal GmbH & Co KG, Niederlassung Dortmund Office
Job Summary
As a Python Data Engineer, you will be responsible for transforming market data into stable, high-performance pipelines for the energy trading sector. Your daily activities involve designing robust data integrations and reliable data flows using Python, APIs, and cloud-based technologies to ensure complex market data is delivered securely and in real-time. You will develop and operate ETL pipelines, implement REST APIs, and utilize various Azure services to manage data exchange. A significant part of the role includes collaborating with trading desks, portfolio management, and external providers to document and map data processes. 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 the chance to work in a modern environment within a critical industry, bridging the gap between technical backend development and energy market operations.
Required Skills
Education
Successfully completed university degree in Computer Science or a comparable vocational training with relevant further education.
Experience
- 2–5+ years in Data Engineering, Backend Development, or Integration Development
- Professional experience with Python and API development
- Experience in structured communication within multi-stakeholder environments
- Experience in the energy market or trading environments is required
- Preferred: Experience with Low-Code/No-Code tools or data dashboards such as Dataiku
Languages
Additional
- Permanent employment contract; Location: Berlin-Tempelhof; Remote work possible depending on skill set and distance; Flexible working hours.
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