Senior Data Engineer | Data Engineer (m/w/d)
Riverty Group GmbH
Job Summary
As a Senior Data Engineer based in Berlin, you will be a key member of the Data Engineering team, responsible for designing, building, and maintaining robust data pipelines within a hybrid working environment. Your daily responsibilities include implementing scalable ETL/ELT pipelines using a lakehouse architecture and creating analytical data models optimized for performance. You will play a vital role in shaping how data is ingested, transformed, and served across the organization to power large-scale analytics and decision-making. This position is highly collaborative, requiring you to work closely with product, analytics, and engineering teams across various countries. You will be expected to drive engineering best practices, including CI/CD workflows and data quality monitoring. The role is ideal for a proactive professional who enjoys working with cloud-native tools and big data infrastructure to deliver high-impact, maintainable solutions in a modern data environment.
Required Skills
Education
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
Experience
- 5+ years of experience in data engineering with a focus on cloud-native platforms
- Hands-on expertise with Azure ecosystem tools and Python programming
- Professional experience with DevOps workflows and orchestration tools
- Proven track record in designing scalable data architectures and analytical models
- Experience working cross-functionally with business and technical stakeholders
Languages
Additional
- Location: Berlin with hybrid working conditions available. Role is full-time and permanent (unlimited contract).
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