Data Engineering Lead - Data & AI Tools (m/f/d)

About the role

At Statista , we’re all about facts and data, for we are the world's leading business data platform. By providing reliable and easy-to-use data as well as various data analytics products and services, we empower people worldwide to make fact-based decisions. Founded in Hamburg in 2007, we have quickly grown into a global company with offices in major cities such as London, New York, Berlin and Tokyo. And we still have a lot of plans. Our constant growth does not only prove our success, but also keeps creating new development and career opportunities for our employees. We value and celebrate our diverse culture. You are welcome here for who you are, no matter where you come from, what you look like, or whether you prefer bar graphs to pie charts. Your story matters – keep writing it as part of our team. Are you ready to join us? Your Tasks Lead and mentor a team of Data and AI engineers, setting objectives, reviewing code, and fostering professional growth. Drive the end-to-end development of advanced Data and AI-powered solutions, including automation frameworks and agentic workflows, to enhance data research, complex forecasting, and decision-making Design, deploy, and maintain scalable cloud infrastructure for AI services and APIs. Identify automation opportunities, streamline workflows, and continuously improve processes across the company. Drive the product evolution collaborating with stakeholders while fostering AI solutions with organizational goals and high-value data delivery. Stay ahead of AI and automation trends, integrating state-of-the-art methods and tools into team projects. Your Profile 5+ years of experience in Data Engineering, Data Operations, or Software Engineering with a proven track record of leading technical teams. Strong Python skills in building scalable data pipelines, automation, and backend services. Experience with cloud infrastructure (AWS preferred: ECS, EC2, EKS, S3, Lambda), workflow orchestration (Apache Airflow), containerization (Docker), and version control (git). Deep understanding of AI principles: foundation models, retrieval-augmented generation (RAG), prompt engineering, evaluation metrics, and trade-offs between different AI approaches. Exposure to product management and ability to work within the team to define a prioritized roadmap. Excellent English communication skills, able to lead cross-functional teams, coordinate stakeholders, and influence technical decisions. Passion for innovation, building autonomous AI tools, agent networks, and scalable AI solutions in a high-growth environment. What we offer In addition to our great team, culture, and our shared goal of empowering people with data, there are many other things that make Statista a great place to work! Join us and benefit from: Work from abroad up to 30 calendar days a year Hybrid work and flex-time International team and social events Subsidized urban mobility and access to fitness and wellness options Free access to Langdock and all its amazing functionalities Career & training opportunities Attractive locations and modern offices Mental health support with OpenUp Some of the benefits listed here apply only to the German entity and to Junior-level roles or above.