Senior Data Engineer | Data Engineer (m/w/d)

Riverty Group GmbH

Berlin, Berlin, Deutschland
Published Mar 9, 2026
Full-time
No information

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

English (Basic)

Additional

  • Location: Berlin with hybrid working conditions available. Role is full-time and permanent (unlimited contract).