Job
- Level
- Lead
- Job Feld
- Data, Back End
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Hamburg, Berlin
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Rolle entwickelst du technische Richtlinien und best practices für das Team, mentorst Mitglieder, führst in Datenstrategie ein und betreust die Umsetzung von Datenprodukten über dbt und SQL.
Job Technologien
Deine Rolle im Team
- 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.
Unsere Erwartungen an dich
Qualifikationen
- 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.
- Familiarity with BI tools (AWS Quicksight, Apache Superset, Tableau, or similar).
Erfahrung
- 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.
Unser Angebot
- 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.
Benefits
Work-Life-Integration
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
MOIA GmbH
Die MOIA GmbH gehört zum Volkswagen-Konzern und hat Büros in Berlin und Hamburg. Sie bietet umweltfreundliche Ridepooling-Dienste an und arbeitet an innovativen Lösungen für autonome Mobilität. Das internationale Team beschäftigt sich mit KI, Software, Hardware und Embedded Systems für städtische Verkehrssysteme.
Description
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Fahrzeugbau, Zulieferer
Tech Lead - Data and Analytics Engineering
- Ort
- Hamburg, Berlin
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
