Job description

As one of a few companies worldwide, we have solved the tough problem of bringing data science to production while keeping costs and operations at bay. We will continue to relentlessly drive innovation to pursue our vision of the autonomous supply chain. On the way, we have solved, and will solve plenty of interesting and challenging problems, and we would love to have you on board for that journey.

Duties and responsibilities

Work in an horizontal team with our machine learning experts, engineers and project managers to advance our data science products

Design and develop data-intensive distributed systems in Python with focus on data engineering

We are working with exciting new technologies like Azure Cloud Services, Dask and Snowflake

Work in an agile team with emphasis on quality, testability and automation

Appreciated qualification and experience

In-depth knowledge of Python and its ecosystem around daks/pandas and sqlalchemy

Experience with micro-services architectures in cloud environments running on kubernetes

Passion for building reliable software running in production

Additional info

What we offer

An opportunity to have positive real-world impact.

We value a scientific approach to problem solving in a friendly and collaborative team where your input and opinion counts .

We are working with exciting new technologies like Azure Cloud Services, Dask and Snowflake

Proactive support of your career development through mentoring, training and participation in conferences

An open-source compatible environment and the possibility to try out new approaches

Are you thrilled about the opportunity, but afraid to apply because you don’t check all boxes? We’d still love to hear from you! We will do our best to hire for potential rather than only qualification. If you are into programming and have a quantitative background, such as math, physics, economics, engineering we welcome you, and yes if you studied computer science, too.

Contract person

Peter Hoffmann (