Data Engineer (m/w/d)

Data Engineer

We are looking for a Data Engineer (m/w/d) for our location in Hanau, starting immediately, in a permanent full-time position (40 hours per week).

The Bruker EAS GmbH is the world's leading manufacturer of superconductors. Our materials are used in superconducting magnets for a variety of applications in medical technology, analytics, fusion research, or high-energy physics. The main application area of our products in the industrial sector is in the coil system of magnetic resonance tomographs (MRT). Bruker EAS belongs within the globally operating Bruker Corporation to the Division BEST (Bruker Energy and Supercon Technologies).

We offer you:

• Tariff wages and benefits of the metal and electro industry
• Further training opportunities, flexible working hours, and the possibility of mobile working
• A voluntary accident insurance paid by Bruker EAS GmbH for leisure time and working hours
• A subsidy program for the purchase of bicycles (up to 1,200 € gross subsidy)
• Free parking spaces on the company premises, very good connection to public transport
• Employee referral program, large selection of employee discounts
• Joint activities and company celebrations

Responsibilities

• Development, maintenance, and automation of ETL/ELT pipelines with Apache Airflow
• Automation and orchestration of data processes
• Development of interfaces to various systems (SharePoint, PostgreSQL), especially with Python
• Conception, maintenance, and optimization of relational databases with PostgreSQL
• Use of Docker for containerization of data processes and applications (prospectively transition to Kubernetes)
• Database administration (e.g., backups, index maintenance, monitoring)
• Development of stored procedures and ad-hoc queries with PL/pgSQL
• Ensuring data quality and data consistency
• Monitoring, documentation, and error handling of data pipelines
• Support in the creation of dashboards and reports in Qlik Sense and in future in SAP Analytics Cloud (SAC)

Qualifications

• Completed studies in computer science or a related field
• Proven experience with SQL (preferably PostgreSQL including PL/pgSQL for complex database logic) as well as database administration
• Very good knowledge of orchestration and ETL tools like Apache Airflow
• Very good knowledge of Python (SQLAlchemy and Django are an advantage)
• Secure handling of Docker
• Proven experience with ETL/ELT concepts and data modeling
• Experience with PowerShell
• Experience with version control (e.g., Git) and CI/CD processes is an advantage
• Basic knowledge of Linux
• Basic knowledge of Kubernetes is an advantage
• Basic knowledge of BI tools like Qlik Sense, SAC, or similar programs
• Basic knowledge of monitoring tools (e.g., Grafana)
• Analytical thinking, structured working style, and team spirit