Manager Data Engineering(m/w/x)

# Manager Data Engineering (m/f/d) **In Germany**- Berlin | Bonn | Cologne | Frankfurt/Main | Hamburg | Munich Ready to boost your personal development in analytics, data science, and AI? Looking for an innovative, agile work environment in IoT, eCommerce, and digital marketing where you can have an impact on big-name companies and hidden champions? Then this is the right place for you! Become a companion of the digital transformation and support us as a Data Engineer. **What makes us special:** * Advance your career with exciting professional opportunities in our thriving company with a startup feel * Add to your experience with our projects that focus on growth, have a positive impact, and truly matter * Voice your unique ideas in a corporate culture defined by our entrepreneurial spirit, openness, and integrity * Feel at home working with our helpful, enthusiastic colleagues who have great team spirit * Broaden your perspective with our extensive training curriculum and learning programs (e.g. LinkedIn Learning) * Speak your mind in our holistic feedback and development processes (e.g. 360-degree feedback) * Satisfy your need for adventure with our opportunities to live and work abroad in one of our many international offices * Enjoy our benefits, such as hybrid working, daycare allowance, corporate discounts, and wellbeing support (e.g. Headspace) * Unwind in our break areas where you can help yourself to the healthy snacks and beverages provided * See another side of your coworkers at our frequent employee events and highly anticipated World Meeting and Holiday Party **How you will create an impact:** * Enable confident decision-making by ensuring stakeholders have access to complete, accurate, and relevant data tailored to their business context. * Accelerate insight generation by transforming complex datasets into structured, actionable outputs that reveal hidden growth opportunities and performance levers. * Increase operational efficiency and scalability by delivering automated, reliable data flows that support fast-changing business needs across platforms. * Elevate strategic conversations through clear, intuitive visualizations that translate technical analysis into business language and executive-ready insights. * Foster long-term impact by aligning data solutions with stakeholder goals, building trust through collaboration, and anticipating future analytical needs. * Strengthen team output by actively exchanging perspectives, challenging assumptions, and co-developing solutions that benefit from diverse expertise and shared ownership. **About you:** * You hold a Master’s or bachelor’s degree (in business, economics, computer science, or engineering preferred). * You are fluent in German and English and communicate confidently in both languages. * You have a sharp, analytical, problem-solving mindset and work in a structured way. * You have experience in building and maintaining large complex datasets and structuring/automating ETL processes based on scattered and unstructured data sources. * You have experience with relational data management software and languages (especially SQL) and have knowledge about analytical/BI software and languages (e.g., Tableau, PowerBI, Python, R). * As a strong plus, you are familiar with big data technologies (e.g., NoSQL databases, Hadoop & distributed file systems, stream processing technologies). * The ability to work with a range of cloud technologies (aws, gcp, azure) is favourable, as well as building interactive front-end / steering cockpits using tools such as streamlit