.EspañaWe are looking for you asComputer scientist / business information scientist (m / f / d) as AI Data Engineerto support our E-Mobility & AI product management team for our subsidiary Scheidt & Bachmann Energy Retail Solutions GmbH at the Mönchengladbach site.Scheidt & BachmannYou don't know? You certainly do! If you've ever taken the train, parked in a parking garage, paid at a petrol station or used a ticket machine, you've probably already come into contact with our products.We develop cutting-edge products and systems around the world to shape the mobility of the future. In our family of companies, values such as TRUST, RELIABILITY and COOPERATION are very important - and have been for more than 150 years.Together, we ensure that millions of people and goods around the world stay on the move and reach their destination quickly, easily and safely.The business divisionEnergy Retail Solutions is the market leader for point-of-sale solutions and energy retail management systems in medium-sized and large filling station and EV charging networks.We offer our international customers a modern software product portfolio ranging from cash register and back office systems to payment terminals, central cloud solutions and payment apps.Our solutions are used by well-known energy companies and retailers in Germany and abroad.We offerA permanent position in an innovative, crisis-proof and established company where diversity and equality are part of our DNAWork-life balance: look forward to flexible, family-oriented working hours, home office and part-time options and our childcare allowanceGood food: Discover the varied range of food on offer in our modern company restaurantStructured induction and buddy system: We want you to feel comfortable right from the start and be able to contribute your know-how directlyPersonnel development and training programs: Develop yourself continuously to keep giving your team new impetusLots of appreciation: attractive remuneration is just as important to us as working together as equals.Your tasksManage the data infrastructure, focusing on designing, building and maintaining data pipelines, including data extraction, transformation and loading (ETL) of data.Design and improve our databases (SQL, NoSQL, Indey and Vector DB) for efficient data storage and retrieval.Monitor our data pipelines to ensure large volumes of data can be processed and scaled as required.Manage data quality and develop mechanisms for data validation, cleansing and error handling.Use cloud platforms (e.G. AWS, Azure, GCP) for data storage and processing.Collaborate with data scientists, analysts and business stakeholders to understand data requirements