Tech Team Lead

  • Permanent
  • Germany

If you’re looking to play a leading role in a well-run startup with meaty tech where machine learning actually earns money, this could be the job for you.

Your Mission

  • Helping to set the tech vision that enables us to deliver the products our strategy calls for

  • Overseeing development processes (CI/CD, releases) — getting your hands dirty where required

  • Providing direction for our data science team (both research and its hard outputs), maintaining our high quality bar

  • Delivering our products reliably and at low cost (maintaining robust infrastructure with a high degree of automation, monitoring)

  • Building and leading a team of tech and data science aces ( 5 people, 3 on site, 2 remote)

    Contributing to company strategy, shaping its priorities and direction

You Offer

  • Have 5+ years of coding experience: you’re seriously good at big data processing, managing and monitoring cloud infrastructure, Scala and Python. You are knowledgeable in most if not all of our tech stack (see below)

  • Know how to run a tight ship, and have spent at least 2 years leading tech teams (including participating in hiring decisions)

  • Still enjoy writing code occasionally: you are a warrior king who isn’t afraid to swing a sword now and then if the situation calls for it

  • Be practical and realistic — you want real-world results you can point to. The thought of failing to deliver sends a shiver down your spine

  • Be curious and have broad interests — you keep up with developments in tech and are always thirsty for more knowledge

  • Have a strong mathematical background and can hold your own in data science discussions. Ideally you should be able to understand research papers

  • Speak fluent English (German is a plus, but not required)

Their Tech

  • Their infrastructure is already in a good shape with Kubernetes, Spark clusters running on AWS EMR, 100% dockerisation and a high degree of automation.
  • Stack: Scala, Python, Spark, Luigi, YARN, Jupyter, Docker, Kubernetes, Kafka, Elasticsearch, MongoDB, AWS, Data Science: Sklearn, Keras, TF, Pymc3


If this could be of interest, please apply directly or send your CV to

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