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.

Зінаїда Козачук
  • Long-term Warehousing Strategy;
  • Schema & Architecture Review;
  • Select DB Systems for Tech Radar;
  • Performance optimisation, database fitness functions;
  • Support definition of data SLAs in data products & automation for monitoring;
  • Disaster Recovery;
  • Cost optimisation;
  • Governance, Tools, Best Practices in rolling out, maintaining and growing database systems across all products & projects.
  • Data Engineering/Pipelining expertise at a Staff (Principal/Lead) level;
  • Strong Databricks experience within an Azure environment is key;
  • Excellent Azure Cloud experience across a mixture of Data Services areas, such as Data Explorer, Data Lake, DWH, Synapse Analytics, IoT Hub, etc.;
  • Good Data Streaming experience (Spark, Flink, Synapse, etc.);
  • Proficiency with Scala and/or Python (preferably both);
  • A Software Engineering background;
  • Knowledge of (Decentralised) Data Architecture is preferred;
  • Strong, enthusiastic communicator with excellent Stakeholder Management skills is a MUST.
Nice to have:
  • Any experience with Data Quality, Data Mesh, Machine Learning, Sqoop and/or Flume;


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