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Principal/Lead Data Engineer

  • Lage

    Berlin, Germany

  • Sektor:

    Data Analytics, Data Engineering

  • Auftragstyp:


  • Gehalt:

    + Technical Leadership

  • Kontakt:

    Rebecca Newson

  • Kontakt E-mail:


  • Referenz:

    JN -042019-83143_1591089121

  • veröffentlicht:

    mehr als 1 Jahr

  • Verfallsdatum:


  • Anfangsdatum:


  • Berater:


Principle Data Engineer: Berlin
Technical/Hands-on Leadership

Python/Scala: Hadoop, Spark/Flink/AirFlow


Please note my client is initially focusing on locally based candidates in Germany and is not able to at present consider EU or non-EU candidates


I am working on behalf of a successful player with a strong brand focus operating successfully in the E-Commerce market for over 40 years. Being a family run business, they have expanded globally to now become one of the largest in Berlin, operating in over 40 countries with 18,000 employees.

Now seeking a Principle Data Engineer to spearhead the cross-functional data unit and work hand in hand with the Head of Data Engineering for infrastructure, architecture and technical leadership.

Are you currently working in a technical leadership/mentoring position?

Your Profile:

  • 5+ years of experience working as a Data Engineer
  • Deep knowledge of scalable distributed processing systems, such as Spark or Flink- ideally on Hadoop and experience of AirFlow is desired
  • Ability to write efficient, well-tested code with a keen eye on scalability and maintainability in Python/Scala
  • Excellent understanding of relational databases, data models and ETL
  • Experience with containers, container orchestrators such as Kubernetes or Mesos and usage of continuous integration & deployment and good Linux knowledge
  • Good knowledge of software development best practices (TDD, Agile, Extreme Programming)
  • You are a team player and strong communicator with a hands-on mentality

Role & Duties:

  • You will be co-responsible with the Head of Data for the whole Data Engineering architecture and infrastructure including: Design, implementation, maintenance, and operations
  • Technical leadership of end to end data solutions for Data Science use-cases
  • You teach and mentor engineers in technical and non-technical growth through learning, development, and leadership
  • Working on the operationalisation of Data Science use cases and ML pipelines with a cross-functional motivated Data Science team
  • Architect and develop CI/CD processes

Why should I join?

  • Flat hierarchies
  • Multi-cultural, diverse, and international English working environment
  • Permanent reinvention, space for creativity and individual career planning
  • Open culture, dynamic teams, and freedom for hands-on mentality
  • Social commitment
  • Social Benefits: Pension scheme/capital formation benefits
  • 30 days holiday

Please send your CV and call availability at your earliest convenience to: Rebecca.Newson@darwinrecruitment.com