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Tech Lead - Data and Analytics Engineering (all genders) Fleet Analytics
Munich, GermanyPosted 1 month agoInternship
Data Engineering
Company
Moia
Location
Munich, Germany
Employment type
Internship
Seniority
Lead
Primary category
Data Engineering
Posted date
2 Mar 2026
Valid through
1 May 2026
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.
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.
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 orchestration. 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.
For student & internship positions, we have an adjusted set of benefits. You can find them here.
We are a member of Charta der Vielfalt and are dedicated to actively fostering a workplace that celebrates and promotes diversity in various aspects such as age, gender identity, race, sexual orientation, physical or cognitive ability, and ethnicity. At MOIA, we embrace a culture where people are accepted, respected, valued, appreciated, and included.
In our commitment to promoting diversity and inclusivity, we regularly provide unconscious bias training to all our employees. Furthermore, we continuously strive to enhance our hiring process by ensuring a diverse hiring panel.
At MOIA, our teams are typically distributed across locations and collaborate in a hybrid setup. We work together both remotely and on site, choosing the mode of collaboration that fits the context, the work at hand, and each team’s rhythm.
Spending time together in our offices is an important part of how we stay connected, build trust, and solve complex problems. At the same time, we value flexibility and give teams and individuals autonomy to shape their ways of working, with everyone having the freedom to organise their routines in a way that aligns with their work and their team’s needs.
If you’d like to learn more about how we work, visit our blog for insights into our culture and hiring process, or follow us on Instagram for a look behind the scenes at MOIA.
At MOIA we’re reimagining the future of mobility – safe, autonomous and tailored to the needs of cities and their people. As a tech company with more than 400 employees, we build mobility solutions that truly move cities forward.
We launched our ridepooling service in Hamburg in 2019 and have been part of the city’s public transport system since 2023. Since launch, we have transported over 12 million passengers. Currently, MOIA is evolving from a mobility provider to a tech provider offering a scalable and safe turnkey solution for autonomous driving.
With office locations in Berlin and Hamburg, our diverse and international team comprising more than 60 nationalities works together toward that shared mission.
MOIA is more than a technology provider – we are a partner to cities and public transport operators committed to creating more livable spaces and delivering mobility solutions that are reliable, safe and comfortable.
We value authenticity and personal insights in your application responses. While AI tools can be useful, we encourage you to answer the following questions based on your own experiences and understanding. This helps us keep a human touch and better evaluate your unique perspective and match for the role.
To reinforce an unbiased screening process, we kindly ask you not to include your picture, age, address, or any other details unrelated to your qualifications and suitability for the role. Additionally, we anonymize applications during the initial review phase by removing personally identifiable information. This ensures that our evaluation focuses solely on your skills, experience, and potential – supporting a fair and inclusive hiring experience for all candidates.