Project Overview:

Relayr is the Industrial Internet of Things (IIoT) powerhouse delivering the most complete solution for risk-free digital transformations. We unleash data insights from existing equipment, machines, and production lines to improve our customers’ business outcomes. 

We provide a unique combination of first-class IIoT technology and its delivery with powerful financial and insurance offerings — all from a single source trusted by hundreds of companies worldwide. With around 300 employees, we are a truly global family with locations in Germany, the USA, Poland, Italy, and the UK. Named twice the hottest start-up in Berlin by WIRED magazine and a winner of The Spark - the German Digital Award, relayr is now part of the MunichRe group.

Being at the forefront of innovation means challenging the status quo. Our talented engineering team is committed to delivering first-class IoT solutions and staying ahead of the competition.

Тетяна Литвин
  • Knowledge sharing / growing a data engineering culture;
  • Best practices in data engineering strategies;
  • Contribute to data mesh architecture.
  • AZURE is a MUST;
  • Experience with large scale data streaming processing frameworks e.g. Spark, Flink, Synapse etc.;
  • Experience with defining, implementing, monitoring & maintaining ETL jobs;
  • Experience with decentralized data architectures;
  • Experience in environments that focus on data quality, data documentation and business value;
  • Experience with software engineering practices in data engineering, e.g. release management, testing, etc and corresponding tooling (dbt, great expectations, …);
  • Experience with Databricks;
  • Proficient in Python and/or Scala;
  • Basic ML exposure & know-how;
  • Experience with large scale data processing systems e.g. Sqoop, Flume;
  • Bonus: Experience with data governance, privacy and security;
  • Data Visualisation Skills.
Higher Education:
  • Bachelor’s Degree/Master’s Degree.


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