Data Engineering


Job description

Whatever you’re working on, here’s the lowdown on the technical skills you’re likely to have:
  • At least 3 years of experience in data engineering
  • Experience working with public cloud platforms, especially AWS
  • Experience with IaC tools, such as Terraform
  • Ability to code in at least one programming language (Python, Java, JavaScript, Scala) is a must
  • Experience working with and creating data-driven architectures, preferably in public cloud platforms
  • Experience using a querying language such as SQL
  • Experience with Big Data and data modelling
  • Advanced knowledge of multiple SQL/noSQL data environments and a strong understanding of why and when to use a particular solution
  • Familiarity with tools in the Big Data ecosystem (like Hadoop, Cassandra, Apache Hive, Apache Spark, and others alike)
  • Experience with orchestration tools like Airflow is a big plus
Apart from great technical skills, our environment is fast-paced and 100% agile, and prioritizes autonomy, teamwork, interaction and resilience.

We’re organized into Scrum teams and projects typically consist of one or more teams sharing a common development, configuration management and continuous delivery environment.

This calls for our engineering revolutionaries to possess the following skills:
  • Availability to perform Operations outside the working hours if needed (extra compensation will be applicable).
  • Great people skills that foster a supportive environment, constructive feedback and ideas sharing.
  • Excellent oral communication and writing skills (English).
  • Experience with Continuous Integration and Delivery tools (e.g. Git, Jenkins, JIRA, Gerrit).
  • Experience of agile methodologies, particularly Scrum.
  • A real passion for learning, doing things better and helping others.
  • Availability to travel abroad for short periods, as required.
  • German skills will be a plus.
Hybrid 3 times a week

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