You are responsible for designing, modeling, implementing and further developing our data warehouse solutions in line with business requirements
As a generalist, you work on our stack—Azure, DevOps, Databricks, dbt—and transform data from our data lake to sustainably meet stakeholder needs
You migrate legacy solutions into the new data warehouse environment using a modern DWH architecture and Data Vault 2.0
You are responsible for the design and development of both the existing and a new state-of-the-art data platform (Data Lake & Data Warehouse)
Maintaining the ETL jobs for the old data warehouse is also part of your responsibilities
You enjoy scope for design and technological freedom within the cloud infrastructure (Azure)
You support your business intelligence colleagues in implementing requirements in the areas of self-service BI, predictive analytics and machine learning

You have successfully completed a degree in Computer Science, Physics, (Business) Mathematics, Business Intelligence & Process Management or a comparable qualification
You love tackling complex challenges and find your true passion in doing so
You are skilled at communicating with stakeholders and know how to manage their requirements and expectations successfully
You have several years of experience with SQL-based query languages
You have experience in data modeling, ideally with Data Vault
You complement these experiences with solid knowledge in data modeling, data management, database technologies and big data
You are highly team-oriented, work goal-driven and have strong analytical and conceptual skills

Work–life balance – Shape your workday flexibly and enjoy the freedom of mobile work
Start-up perks – Enjoy free drinks and the occasional game of table football or table tennis to unwind
flaschenpost Learning – Create your personal learning journey and expand your know-how through diverse and innovative training
Buddy program – Your flaschenpost buddy will support you with advice and assistance during onboarding
State-of-the-art equipment – We place great value on progress and innovation
Team and networking events – Stay fit and get to know your colleagues better through company sports, game nights and regular meet-ups
Corporate benefits – Benefit from discounts and offers at online shops and gyms
Social responsibility – Blood donation during working hours to help save lives

Senior Data Engineer, Data Warehouse Developer

Key skills