Job
- Level
- Lead
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Hamburg, Berlin
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop technical guidelines and best practices for the team, mentor members, drive data strategy, and oversee the implementation of data products using dbt and SQL.
Job Technologies
Your role in the team
- Represent the company-wide tech guidelines within the team and actively promote the development of guidelines and best practices across the entire tech community at MOIA, utilizing concepts such as 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.
- Beteilige dich an Produktentdeckungen und treibe aktiv konzeptionelle Arbeiten mit Teamkollegen, anderen Teams und dem Product Office voran.
- 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.
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Our expectations of you
Qualifications
- 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.
- Passion for vehicle/fleet operations in the field of Autonomous Driving.
- Track record for enabling teams to self-serve through data foundations and facilitating data adoption.
- Vertrautheit mit BI-Tools (AWS Quicksight, Apache Superset, Tableau oder ähnliches).
Experience
- 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.
- Experience in closely collaborating with Data Science and Data Analytics Roles.
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What we offer
- 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.
- 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 workshops.
- 30 vacation days, sabbatical, and unpaid leave option.
- Relocation support with service provider (visa, administration, etc.).
- Dog-friendly offices.
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Benefits
Work-Life-Integration
Topics that you deal with on the job
Job Locations
This is your employer
MOIA GmbH
MOIA GmbH is a subsidiary of the Volkswagen Group with offices in Berlin and Hamburg. It offers environmentally friendly ridepooling services and works on innovative solutions for autonomous mobility. The international team focuses on AI, software, hardware, and embedded systems for urban transportation systems.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Vehicle Manufacturing, Supplier
Tech Lead - Data and Analytics Engineering
- Location
- Hamburg, Berlin
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
