Student in Data Analytics in Berlin bei assetbird GmbH

assetbird GmbH

Aufgaben

• You will be performing data analysis and data cleaning
• Together with your team, you ship new features for our cloud platform. Thereby you actively deliver the best software possible for our customers.
• You build features with an “you build it, you run it” mindset and are responsible for testing, deployment and monitoring of your code.
• Also, you will be part of the core team and work closely with the CTO and the founders of the company.

Qualifikation

• Good knowledge of Python and data analysis
• Optional: JavaScript and HTML experience
• You love finding the best solutions with your team, and to combine a holistic approach with a high quality implementation
• You enjoy open communication, constant feedback and short decision paths.
• You have a “never-stop-learning” attitude and a desire to develop and grow.
• You are fluent in English, ideally in German, too.

Benefits

• We are a dynamic team with great ambitions in the heart of Berlin.
• We strive to make assetbird big and transform the B2B real estate industry through modern collaboration technologies.
• We live a culture of trust and personal responsibility. Every idea and every opinion is welcome.
• The personal development of our team is close to our hearts. We support learning new skills and competencies anytime.
• The exchange of opinions within our team is key. We value our joint lunches and team activities.
• We love and live an agile work environment. We work as a Scrum team, with open boards and regular retros and stand ups.
• We believe in DevOps, continuous integration and testing.
• And we believe in having lots of fun as a team and enjoying many team events.

At assetbird we use technologies, which enable us to provide our users with tools to reach their goals and to deliver at a fast pace. Our Backend services run on NestJs (Node) and MongoDB in Docker containers. The Frontend layer is based on JavaScript and React with Webpack. We leverage AWS services by running our containers in Amazon ECS and benefit from CloudWatch etc. Our teams ship code with the mindset of “you build it, you run it”. We manage our code in GitLab and use GitLab CI/CD with different tools to maintain a high quality standard in our codebase.