Company descriptionAs one of the leading service providers for electrical safety in Germany, we test electrical equipment, systems and machinery nationwide in accordance with DGUV 3 and DGUV 4. With around 500 colleagues, we support companies from a wide range of industries in creating safe working environments and reliably meeting legal requirements – from DAX-listed corporations to small and medium-sized enterprises.What sets us apart? Short decision-making processes, genuine responsibility, and a team that works together on a task that counts every day: safety for people and businesses.Job descriptionWe turn data into something that can be used.You will develop BI solutions for our Data & BI team and ensure clean, usable data. You will work closely with the colleague responsible for our data warehouse and pipelines.

• Development and expansion of Power BI solutions, including technical co-responsibility for the underlying data model.
• Designing reports that users actually understand and enjoy using. This involves not only the technical implementation, but also a good sense of UX and UI.
• Working with relational databases: data modeling, understanding structure, advanced SQL
• Connecting and integrating existing systems such as MS Dynamics, Sipgate and other systems into the data landscape
• Support in setting up and maintaining data pipelines with Azure Data Factory in coordination with the responsible colleague.
• Ensuring data quality through testing, validation, and monitoring of the pipelines
• Programming for the automation of data flows (Python), clean version control and review practices via GitHub
• Technical integration of AI/LLM APIs into existing data processes, e.g. automated text classification or data enrichment.
• Close technical coordination with our Business Owner BI and Product Owner Data for the technical implementation of prioritized requirements.

Qualifications

• 2–4 years of experience in BI development and database work. Prior experience with data pipelines is advantageous.
• Excellent SQL skills and a solid understanding of relational database structures
• Prior experience with Azure Data Factory or comparable ETL/ELT tools is required. While a colleague on the team is responsible for pipeline depth, you should understand the underlying logic and be able to contribute your own ideas.
• Experience with cloud services, preferably Microsoft Azure
• Excellent knowledge of Power BI development, not just reporting consumption.
• A good feel for UI/UX. You understand what users really need and consider solutions from backend to user interface, instead of just fulfilling requirements.
• Solid programming skills (Python preferred) and experience with Git/GitHub
• Ideally, experience with integrating AI/LLM APIs into data processes.
• Ideally, a basic understanding of data security and GDPR in handling data.
• Ideally, an aptitude for process analysis; not a must, but a plus.
• Structured, independent and solution-oriented work style
• Very good German skills