Senior Analytics Engineer Fleet Analytics

Hamburg, Germany

At MOIA, you'll be joining the Fleet Analytics team – a smart, driven, and fun group of people who care deeply about using data to shape the future of mobility. We're the crew behind the central data foundation for everything fleet‑related, and in a world that's moving toward self‑driving vehicles, data is at the heart of it all.

We build the foundation to enable decision makers, create reliable, scalable data products to support our business needs.

• Work cross‑functionally with teams across MOIA to understand diverse data needs
• Own and evolve the central data transformation framework for our fleet domain
• Scale analytics efforts and enable Data Analysts and Data Scientists by providing clean and reliable datasets
• Turn complex business questions into clear data models, KPIs, and metrics
• Help teams meet their analytics goals and keep dashboards accurate and insightful
• Partner with stakeholders to solve business challenges using data
• Share knowledge and support teams in adopting and contributing to our central data setup
• Support Fleet.
  
  OS business unit with our Data Science and Analytics expertise

You'll architect and build scalable data pipelines using DBT and SQL, establishing robust data quality frameworks through automated testing while designing modular, reusable data assets that drive business insights.

You'll leverage modern data orchestration tools like Airflow, implement CI/CD workflows with Git Hub Actions, and develop Python automation solutions to streamline our data platform and accelerate deployment cycles.

You will work closely with members of our Data Platform Team to bootstrap new data services, ensuring data security and data protection standards.

In addition, you will enable product teams to build their own data products within the data foundation framework and support them with onboarding sessions, consulting, or documentation.

• Pairing with other team members on complex coding challenges or process improvements is essential for our teamwork.

• Background in Data Engineering or Analytics Engineering
• Passion for understanding and analyzing vehicle/fleet operation processes in the exciting field of Autonomous Driving
• Experience with DBT and modern data modelling practices, along with proficiency in SQL and at least one modern programming language, preferably Python
• Proficiency with Cloud Services (AWS, Azure, GCP etc.)
• Solid understanding of dimensional modelling knowledge
• Experience in implementing and orchestrating robust data pipelines (Airflow or similar)
• High level of self‑organisation and agency in prioritisation and decision‑making
• Enthusiasm for knowledge sharing and maintaining T‑shaped developer profiles in the team
• Excellent stakeholder management and communication skills, with the ability to work closely with source teams to understand event streams, business processes, and data signals
• A keen eye for identifying edge cases and structural issues in event or signal data, and the confidence to advocate for upstream changes when necessary

We welcome applicants from diverse backgrounds—even if you don’t meet every requirement. If you’re excited about the role and MOIA’s mission, we’d love to hear from you!

• 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 subsidised "Deutschlandticket") for commuting and travelling throughout Germany and discount on MOIA rides
• Subsidised fitness club membership or bike leasing
• Learning environment with continuous learning days, job rotation, trainings and workshops,…