Data Engineer (Business Intelligence) (m/w/x)

  • Business Intelligence
  • Berlin, Berlin, Germany

Data Engineer (Business Intelligence) (m/w/x)

Job description

Grover is the alternative to ordinary - rethink things.

Grover is the new choice for renting or financing tech products. We offer a simple, monthly subscription model for the tech you love. We are the first financing company whose main focus is the circular economy, breaking the barrier between ownership and usage. For a small monthly fee, private customers, as well as businesses, get access to a wide assortment of tech products at a fraction of the purchase price. We're on a mission to re-invent consumption and to make innovative technology accessible to everyone. As a member of the CE100 group of leading companies in the circular economy worldwide, we are at the forefront of reducing e-waste and establishing a more sustainable way of using products. To date, we have raised over €275 million in equity and debt financing from investors including Samsung, Commerzbank, and Global Founders Capital. LinkedIn ranked Grover as one of the Top 10 hottest startups to work for in Germany in 2019.

We are now looking for a Data Engineer to join our talented Business Intelligence team in Berlin.


As a Data Engineer (Business Intelligence), you will:

  • Build robust distributed systems to process large scale data streams into useful applications
  • Integrate and maintain new data management technologies and software into the existing system, building data collection pipelines
  • Engineer fast, real-time data pipelines to process data from multiple sources to make fast and accurate decisions
  • Be able to design and build distributed data warehouses
  • Work closely with business stakeholders and collaborate with back-end, front-end engineers to build products for gathering insights about customer behaviour
  • Create monitoring systems to track the quality of data and the health of our systems

You care about:

  • Quality code and work ethic
  • Tech innovation and knowledge sharing
  • Ownership: you easily communicate ideas, implement them, and take responsibility for your actions
  • Helping others: sharing knowledge with your colleagues is on top of your priorities
  • Fast-paced startups: you love adapting to different situations, and you know how and when to iterate fast and with high quality
  • Our product: you believe in our vision, and are willing to give your best to build the future of Grover

We are looking for a passionate Data Engineer with:

  • Proficiency in Python
  • Knowledge of SQL
  • Experience in designing and implementing complex ETL pipelines
  • Experience working with stream processing (Kafka, Faust, Spark, Hadoop)
  • Understanding of Distributed systems
  • Familiarity with Jenkins and Jira
  • Experience working with REST APIs and/or SOAP is a plus
  • Knowledge of web tracking technologies


Technologies we use:

  • Python 3.6+ (Faust, sklearn, pandas, …)
  • PostgreSQL
  • AWS Suite (Lambda, Redshift, ...)
  • Elasticsearch, Logstash, Kibana (ELK)
  • Kafka
  • Matillion
  • Tableau


What we offer:

  • Flexible working hours
  • 2 days of home office per month
  • Learning opportunities - weekly guild learning, conferences, training budget
  • Your choice of Windows or Mac, as well as headphones
  • Entrepreneurial responsibility and flat-hierarchies
  • Career growth 
  • Modern, spacious office located in central Berlin
  • Open-minded variety of nationalities
  • German classes in the office
  • Smunch
  • Fresh Fruit & drinks
  • Team Events

About us

Grover is the European market leader in technology rentals, bringing the access economy to the consumer electronics market. We value entrepreneurship, intelligence, and purpose in everything we do. We’re a team of over 100 creative and motivated minds, from over 31 countries - this shapes our way of thinking and work approach. Open communication, teamwork, and drive all go a long way at Grover. Our HQ in Berlin Mitte offers plenty of space for fun, collaboration, and rethinking things.