Senior Data Engineer – Paris/Berlin

  • Full Time
  • Paris
  • Posted 2 months ago

For our client, a PropTech company, set to radically improve the understanding and transparency of real estate markets based on data-driven insights we are currently looking for a Senior Data Engineer with at least 4 years of experience. Based in Paris/ Berlin or willing to relocate in one of these two cities.

Headquartered in Zürich, with offices in Paris, Berlin and Tokyo. They work on international markets and are backed by world-class investors

As a Senior data engineer, your mission will be to guide the data-engineering work. You will be given the responsibility for substantial parts of our data engineering systems. Your daily challenges will be to mine a wide range and variety of new datasets of all sort. Doing so will expose you to a wide variety of tasks ranging from building the infrastructure (Spark on Kubernetes), to building machine-learning models extracting features from raw data, to generating pipeline to process and expose new data sources,


  • Extract, cleanup, structure and transform complex raw and processed datasets to extract insights from it
  • Retrieve a wide variety of datasets and integrate them into the data pipeline
  • Create and maintain an efficient data infrastructure
  • Build data enrichment pipelines, using machine-learning when appropriate
  • Continuously provide new ideas to improve our engines and products


  • MSc in Computer Science or equivalent
  • At least 3 years of experience in a similar position
  • Proficiency in Python and at least one scripting language
  • In-depth understanding of basic data structures and algorithms
  • Familiarity with software engineering best practices (clean code, code review, test-driven development, …) and version control systems
  • Experience with the ETL and data processing tools we’re using is a strong advantage:
    • PySpark, PostgreSQL, Luigi
  • Working experience with cloud providers (Google cloud, AWS or Azure)
  • Advanced knowledge of relational databases
  • Experience with Docker and Kubernetes orchestration is a strong advantage
  • Understanding of core machine learning concepts is an advantage
  • Worked previously in ‘agile’ team(s) and are looking forward to doing it again,
  • Comfortable working in English; you have a great read, good spoken command of it.


  • Flexible work hours
  • Casual dress code
  • Free snacks, fruits, coffee, beers, sodas
  • Thursday drinks
  • ✈️ Relocation package
  • L&D program
  • Well-located offices
  • Competitive salary

Still with me? What are you waiting for? Send us your CV now and show us you are the one we are looking for!

Upload your cover letter or any other relevant file(s). Max. file size: 128 MB.
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