Tech Lead - Data and Analytics Engineering (all genders) Fleet Analytics

Join us as a Tech Lead - Data and Analytics Engineering (all genders) in our Fleet Analytics team and help shape the future of autonomous mobility! As the Fleet Analytics team, we are strategic enablers of data-driven decision-making. We provide high-quality, reliable data and frameworks to empower teams in Fleet Systems to build their own data products and steer product development effectively. We value collaboration, technical excellence, and the drive to make data accessible and actionable across the organization. What you will do Represent the company wide tech guidelines in the team and actively drive advancement of guidelines and best practices with the whole tech community at MOIA , using concepts like ADRs. Mentor team members, foster technical excellence, and create growth opportunities through pair programming, coaching, and knowledge-sharing. Partner with the Director of Engineering and Product Management to define and streamline technical strategy, and own bringing it into the team. Enable product teams across Fleet System to adopt data practices and build their own data products—through onboarding, consulting, and documentation. Facilitate data adoption by making the data foundation accessible, well-documented, and easy to contribute to. Involve yourself in product discoveries and actively drive conceptual work with team colleagues, other teams and the Product Office. Own and evolve the central data transformation framework for the fleet domain using dbt and SQL Conduct technical interviews and help define requirements for new roles. What will help you to fulfill your role You have a background in data engineering or analytics engineering with experience in data platform development. You're proficient in SQL and Python , with hands-on experience in dbt , modern data modeling practices and workflow orchestratio n . You understand CI/CD workflows (GitHub Actions) and data quality testing. You have experience with cloud platforms (AWS preferred) and can architect scalable data pipelines and maintainable data products. You have demonstrated technical leadership experience with a passion for mentoring and enabling others to grow. You enjoy fostering technical excellence and helping teams adopt new practices. You have excellent stakeholder management skills and can work closely with source teams to understand event streams, business processes, and data signals. You have a keen eye for identifying edge cases in event or signal data and the confidence to advocate for upstream changes. Nice to have: Passion for vehicle/fleet operations in the field of Autonomous Driving. Experience in closely collaborating with Data Science and Data Analytics Roles. Track record for enabling teams to self-serve through data foundations and facilitating data adoption. Familiarity with BI tools (AWS Quicksight, Apache Superset, Tableau, or similar). We encourage you to apply even if your profile does not meet all requirements—we embrace individual growth at MOIA . Our benefits in a nutshell Competitive salary (including bonus) Hybrid work setup: Work from home or one of our offices - you and your team decide how often to meet, blending flexibility with collaboration! Flexible working hours and the possibility of flexible work arrangements depending on your needs (parenting, care work, volunteering, etc.) Budget and monthly expense allowance for home office setup Possibility of remote work from outside Germany for up to 6 weeks per year from over 35 countries - learn more in our blog ! Public transport ticket (fully subsidized "Deutschlandticket") for commuting and travelling throughout Germany and discount on MOIA rides Subsidized fitness club membership or bike leasing Learning environment with continuous learning days, job rotation, trainings and workshops, coaching, conferences, books, and language classes Mental health support, 1:1 sessions with external professionals and mental unload wo ... (truncated, view full listing at source)