Data Engineer (Python, Spark & Cloud Data Platform) | Data Engineer (m/w/d) – Python, Spark & Cloud Data PlattformRef:.Nr. S0260203
set - software engineering gmbh
Job Summary
This role involves the development, maintenance, and expansion of data pipelines for processing and analyzing customer data within a modern cloud environment. As a Data Engineer, you will support the construction and operation of data infrastructure tailored for data analysis and machine learning applications. Your day-to-day tasks include integrating various data sources—such as HTTP interfaces, blob storage, and relational databases—into the existing platform, while documenting technical concepts and decision-making frameworks. You will also contribute to advancing development processes using CI/CD, DevOps, and MLOps methodologies. This position is particularly attractive due to its 100% remote work policy across Germany, a flexible flextime model, and a strong focus on professional development through extensive training and mentoring. The role offers a high probability of permanent takeover and provides modern IT equipment to support a productive home-office environment.
Required Skills
Education
Completed degree in Computer Science or a comparable qualification.
Experience
- Several years of experience in the development and operation of data processing pipelines involving heterogeneous data sources
- Professional experience with Python and Apache Spark, ideally within a Databricks environment
- Profound experience with Microsoft Azure and Infrastructure-as-Code concepts
- Experience in implementing CI/CD, DevOps, and MLOps methods
- Demonstrated experience in technical documentation and conceptual design
Languages
Additional
- Reference number: S0260203. 100% Home Office / Remote work within Germany. Fixed-term contract with a high probability of permanent takeover.
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