Data Engineer (m / f / d)

  • Temedica GmbH
  • Munich, Germany
  • 23/11/2019
Full time Data Science Data Analytics Big Data Statistics

Job Description

We are a Digital Health Startup in the heart of Munich that has made its mission to improve the quality of life of its users. With our digital products, we accompany patients on their individual health path and help them to achieve the best possible therapy result.

Thesis wants to be your tasks

  • Build and Deploy Data Pipelines to enable AI & ML capabilities.
  • Drive the development of cloud-based and hybrid data storage & business intelligence platforms
  • Build Data Pipelines to Ingest Structured and Unstructured Data.
  • Gain hands-on experience with new data platforms and programming languages

You're offering these qualifications

  • 5+ years of experience in Data Engineering or Data Warehousing with an integrated perspective, from management to operations.
  • Hands-on experience with cloud architecture and technologies (AWS, Azure or GCP)
  • Open-minded quick learner with desire to explore and keep up with the latest technologies.
  • Advanced SQL & Python skills
  • Good communication and interpersonal skills for working in a multicultural work environment
  • Including a good level of English spoken and written
  • English is a big plus
  • Good to have experience with healthcare related data

We are offering these benefits

At Temedica we are open to the international team with a beautiful office in the heart of Munich. The next beer garden and the famous Oktoberfest are just around the corner.

Trust: We believe in you. That's why we give you maximum responsibility and trust from day one.

Feedback: We think it is essential to engage in a lively dialogue and give feedback on a culture of fairness.

Goals: We are determined to achieve our goals, and we embody our common values.

Team Events: Here you'll get fantastic coffee, snacks and, of course, a great place to work.

INTERESTED?

Apply now! Your contact persons are Kerstin Dannenberg (HR) and Carlos Cabral (Head of Data).