Senior Data Engineer (m/f/d)

June 4, 2021

Want to redefine how entire industries work by leveraging IoT, Smart Manufacturing and Industry 4.0? Would you like to be part of the success of a digital solution which will revolutionize manufacturing process to improve shopfloor performance? If your answer is a big yes, you should continue reading!

With HQ in Berlin, FactoryPal is a recently established corporate Start-Up – with additional locations in Porto/Portugal and Green Bay/USA. The new venture is poised to become the leading end to end IoT solution for machine efficiency and equipment effectiveness. The digitally enabled solution is not just completely reshaping, how companies produce and elevate their efficiency levels, but at the same time is fundamentally augmenting the way how manufacturing employees do their job.

We are data scientists, engineers, designers, IIoT experts, product managers, and manufacturing operations consultants. We are a team, united by our shared ambition: revolutionize manufacturing and transform the way it is done to ensure smooth operations.

Become part of an amazing journey and successfully accompany our customers in their Digital Factory efforts!


  • Collaborate and work with engineering and data teams to digest data and transform it to our internal domain and store it in our data warehouse. 
  • Design, create, and maintain data pipelines for multi-dimensional datasets, across a variety of data platforms (RDS, S3, Glue, Athena, Postgress). 
  • Develop and improve the current data architecture, emphasizing data security, data quality and timeliness, scalability, and extensibility. 
  • Help automate our pipelines and the onboarding of new clients. 
  • Deploy and use various big data technologies and run pilots to design low latency data architecture sat scale. 


Your Experience & Key Skills

  • Bachelor's degree in Management Information Systems, Statistics, Software Engineering, STEM or a related technical/quantitative field 
  • 3+ years of experience with ETL, data modeling and data warehousing using relational databases and data lake approaches. 
  • 3+ years of experience with processing multi-dimensional datasets from different sources and automating the end-to-end ETL pipeline. 
  • 3+ years of experience in python 
  • 1+ years of experience with JVM based language. 
  • 1+ years of experience in cloud technologies. 
  • 1+ years experience with streaming based systems (kinesis/ kafka) 
  • Experience with continuous delivery and integration. 
  • Ability to effectively communicate with both business and technical teams. 

Nice to have

  • Master’s degree in Management Information Systems, Statistics, Software Engineering, STEM or a related technical/quantitative field 
  • Experience in designing and implementing data engineering solutions with AWS data technologies. 
  • Expertise in ETL optimization, designing, coding, and tuning data processes. 
  • Knowledge of building data pipelines and applications to trigger or schedule jobs using airflow. 

What we offer

  • Opportunity to work in a well-funded corporate Start-Up with an unfair advantage derived from market access of our mother company Körber 
  • Exposure to the hottest IT technologies, like AI/ML, Cloud and Industrial IoT 
  • Challenging role with lots of opportunities to grow - as an expert and as an entrepreneur 
  • Development opportunity in a group of professionals, who joined from top tier start-up, industry and consulting companies and an education from top tier universities 
  • Offices in prime working locations and technology hotspots such as Berlin and Porto 
  • Hands-On shopfloor experience in the manufacturing environment with travel opportunities - local and global 
  • An agile, inspiring, multi-cultural, multi-disciplinary and innovative work environment 
  • A competitive salary & benefits package - incl. 30 days vacation and dedicated training budget 
Interested? Contact us in English at