Tech Lead - Data and Analytics Engineering Fleet Analytics

About the role

As Tech Lead - Data and Analytics Engineering in the Fleet Analytics team, you will be a strategic enabler of data-driven decision-making. You will provide high-quality, reliable data and frameworks to empower teams in Fleet Systems to build their own data products and steer product development effectively.

What you'll 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.
• 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 you'll need

• Background in data engineering or analytics engineering with experience in data platform development.
• Proficiency in SQL and Python, with hands-on experience in dbt, modern data modeling practices and workflow orchestration. Understanding of CI/CD workflows (GitHub Actions) and data quality testing.
• Experience with cloud platforms (AWS preferred) and ability to architect scalable data pipelines and maintainable data products.
• Demonstrated technical leadership experience with a passion for mentoring and enabling others to grow.
• Excellent stakeholder management skills and ability to work closely with source teams to understand event streams, business processes, and data signals.

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.

What they offer

• Competitive salary (including bonus)
• Hybrid work setup with flexibility to work from home or offices
• Flexible working hours and work arrangements
• 30 vacation days, sabbatical and unpaid leave option
• Learning environment with continuous learning days, conferences, and trainings
• Mental health support and wellness benefits