Senior Data Engineer - Big Data Platform | Senior Data Engineer (m/w/d) - Big Data Platform,Hirschau,München

Conrad Electronic SE

Hirschau, Oberpfalz, Bayern, Deutschland
Published Mar 10, 2026
Full-time
Permanent

Job Summary

As a Senior Data Engineer, you will join the Big Data team to develop and operate a central enterprise-wide platform supporting data exchange, analytics, and AI. Your daily responsibilities involve designing and implementing scalable Big Data solutions with a heavy focus on event-streaming architectures using Confluent Kafka. You will utilize Java for backend development of complex data services and lead innovation by implementing AI Agents and agentic workflows. The role requires you to take ownership of data modeling, orchestrate ETL pipelines using Matillion, and manage data integration within a Google Cloud Platform (GCP) environment. This position is ideal for technical experts who thrive in agile, iterative environments and want to work on high-performance systems. You will ensure data quality and consistency for downstream data scientists while optimizing BigQuery performance. The role offers a unique blend of traditional data engineering and cutting-edge AI integration within a stable, family-owned company culture that prioritizes work-life balance and professional growth.

Required Skills

Education

Not specified

Experience

  • Several years of professional experience as a Big Data Engineer, preferably within the Google Cloud Platform (GCP) ecosystem
  • Extensive backend development experience using Java
  • Expert-level experience in event-streaming architectures and Confluent Kafka
  • Practical experience in developing and implementing AI Agents and integrating LLMs into data products
  • Proven track record in designing data models and ETL processes
  • Experience working in agile environments with iterative processes

Languages

German (Basic)English (Fluent)

Additional

  • The role is based in Hirschau or Munich. It offers a permanent (unbefristet) full-time contract. Candidates must be comfortable with hybrid working models.