Your tasks – this is what awaits you in detail
- As a Data Engineer (f/m/d) in our company, you act as an important interface between our DevOps, Data Science and software development divisions
- You develop scalable applications and systems for processing structured and unstructured data
- You deal comprehensively with many different data-related topics and have the right ideas for every situation: Whether it’s data exchange between microservices, processing huge amounts of data for recommender models, or lightning-fast, interactive business intelligence applications, we have the right solution
Your profile – this is what we expect from you
- You have a university degree in (business) informatics or a comparable field of study
- You have a very high capacity for abstraction, a sound algorithmic understanding and affinity for working with data
- You have experience with:
- Relational and noSQL databases and data warehouses
- Stream Processing Platforms such as Apache Kafka
- Containers, preferably with Docker and Kubernetes
- Software development, preferably with Python
- Ideally, you have experience in some of the following technologies and, as an autodidact, you are prepared to quickly familiarise yourself with the other technological forms:
- Management and automation of infrastructure (Linux, Networking, Cloud Services, Terraform, Ansible)
- ETL or distributed task scheduling frameworks (Airflow, Dagster, Nifi)
- CI/CD (Drone, Gitlab CI)
- You have a university degree in (business) informatics or a comparable field of study
- You have excellent communication skills, are willing to embrace our company culture and values and enjoy working in an international, english-speaking team.