Job
- Level
- Lead
- Ort
- Hamburg, Berlin
- Arbeitsmodell
- Hybrid, Onsite
- Job Feld
- Data, Back End
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
Job Zusammenfassung
In dieser Rolle entwickelst du technische Richtlinien, mentorst Teammitglieder und unterstützt Produktteams bei der Nutzung von Datenpraktiken, während du das zentrale Daten-Transformationsframework für das Flottenmanagement verwaltest.
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
