BridgingIT GmbH has existed since 2008 and is now part of the bridgingIT group. At one of our 9 customer-oriented locations in Germany, you are part of a manufacturer-independent and product-neutral technology and business consulting. Together, we implement digitalization strategies for start-ups, middle class and corporations. Our value-based organization places great emphasis on human proximity, diversity and trust. With us you will find not only career and training opportunities, but also flexibility and family-friendliness. Be part of our 700-headed family and shape your future with us.

Looking for a job that gives you real flexibility and appreciates your professional excellence, we will present you the following job. With bridgingIT, man is at the heart of it and now it's about you! Location(s): Mannheim, Munich, Nuremberg, Stuttgart Type: permanent employment, full-time, part-time and mobile work

Design the future of the data world with us! Whether you're a beginner or an experienced professional – if you want to create data and create real added value from them, you're right here. With us you can contribute, develop and develop your know-how and create innovative solutions together with our team. Be part of our analytics and data community and work with like-minded people on exciting projects. Data Engineering: Design and development of ETL/ELT pipelines (e.g. Databricks, Fabric, Snowflake) and implementation of scalable data architectures in cloud environments (Azure, AWS). Data modeling & optimization: Development of powerful and scalable data models and definition of efficient data structures for analyses and reports. Data Quality & Process Optimization: Ensuring data quality through automation, monitoring and continuous optimization. Cooperation & Innovation: Close coordination with specialist areas for implementing technical requirements in data-driven solutions. Data Analysis & Visualization: Data analysis & visualization: Creating meaningful analyses and dashboards with Power BI or Tableau for obtaining business-relevant insights. Data-driven decision-making: support for the specialist departments in the development of sound decision bases. Trend analysis & pattern recognition: identification and representation of trends and patterns in complex data sets. Data Science: Machine Learning & Model Development: Development and training of ML models to solve complex problems such as predictions and optimizations. Data analysis & statistics: Use of advanced analytical methods and statistical methods to answer complex questions. Cooperation & Deployment: Close cooperation with Data Engineers, Analysts and MLOps teams to efficiently bring models into production.

Education: You have a degree in Computer Science, Mathematics, Business Informatics, Data Science or a comparable discipline. SQL and Python: Both technologies are basic tools for you, which you are sure to master. Cloud technologies: You bring practical experience with Azure or AWS and know your services. Data Engineering Tools: Experience with platforms such as Databricks, MS Fabric or Snowflake is an advantage. Visualization: You have sound knowledge of Power BI or Tableau and are able to easily and understand complex data views. Analytical Skills: You can structure, analyze and derive usable insights. Team skills: You like to work interdisciplinary and introduce your expertise in an agile environment. You can master German at least C1 level and successfully use it in your everyday work.

30 days holiday + the option to 10 more days a year Work up to 183 days from European countries Mobility Package – (electric) company car, railway card or bicycle leasing Mobile work Flexible working hours Benefits such as kindergarten grant, fitness center, etc. Professional onboarding through personal mentoring Lifetime account – possibility to save holidays or bonus External and internal training opportunities and individual coaching Various value initiatives, such as green&social, in which you can contribute

For more information on the Benefits and the application process, see our career page and our FAQs. JOBV1_EN