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Tech Lead - Data and Analytics Engineering(m/w/x)
Shaping data engineering technical strategy and mentoring teams for autonomous mobility solutions. Hands-on dbt experience and modern data modeling skills required. 6-week international remote work, flexible hours.
Requirements
- Background in data or analytics engineering
- Experience in data platform development
- Proficiency in SQL and Python
- Hands-on experience in dbt
- Modern data modeling and workflow orchestration
- Understanding of CI/CD and data testing
- Experience with cloud platforms, ideally AWS
- Ability to architect scalable data pipelines
- Technical leadership experience
- Passion for mentoring and enabling others
- Excellent stakeholder management skills
- Confidence to advocate for upstream changes
- Passion for vehicle/fleet operations
- Collaboration with Data Science and Analytics
- Track record for enabling self-serve data
- Familiarity with BI tools or similar
Tasks
- Represent and advance company-wide technical guidelines
- Mentor team members through coaching and pair programming
- Foster technical excellence and professional growth opportunities
- Define and streamline the team's technical strategy
- Consult with product teams on data practice adoption
- Create documentation to enable self-service data products
- Improve data accessibility and contribution frameworks
- Drive conceptual work during product discovery phases
- Evolve the central dbt and SQL transformation framework
- Conduct technical interviews and define role requirements
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- SQL
- Python
- dbt
- GitHub Actions
- AWS
- AWS Quicksight
- Apache Superset
- Tableau
Benefits
Flexible Working
- Hybrid work setup
- Flexible working hours
- Flexible work arrangements
Workation & Sabbatical
- 6-week international remote work
- Sabbatical and unpaid leave
Competitive Pay
- Competitive salary with bonus
Additional Allowances
- Home office budget
- Monthly home office allowance
Public Transport Subsidies
- Subsidized Deutschlandticket
- Discounted MOIA rides
Healthcare & Fitness
- Subsidized fitness club membership
Company Bike
- Subsidized bike leasing
Learning & Development
- Continuous learning days
- Trainings and workshops
- Coaching and conferences
- Books and language classes
Diverse Work
- Job rotation
Mental Health Support
- Mental health support
- Mental unload workshops
Mentorship & Coaching
- 1:1 professional sessions
More Vacation Days
- 30 vacation days
Other Benefits
- Relocation support
- Visa and administration support
Informal Culture
- Dog-friendly offices
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Tech Lead - Data and Analytics Engineering(m/w/x)
Shaping data engineering technical strategy and mentoring teams for autonomous mobility solutions. Hands-on dbt experience and modern data modeling skills required. 6-week international remote work, flexible hours.
Requirements
- Background in data or analytics engineering
- Experience in data platform development
- Proficiency in SQL and Python
- Hands-on experience in dbt
- Modern data modeling and workflow orchestration
- Understanding of CI/CD and data testing
- Experience with cloud platforms, ideally AWS
- Ability to architect scalable data pipelines
- Technical leadership experience
- Passion for mentoring and enabling others
- Excellent stakeholder management skills
- Confidence to advocate for upstream changes
- Passion for vehicle/fleet operations
- Collaboration with Data Science and Analytics
- Track record for enabling self-serve data
- Familiarity with BI tools or similar
Tasks
- Represent and advance company-wide technical guidelines
- Mentor team members through coaching and pair programming
- Foster technical excellence and professional growth opportunities
- Define and streamline the team's technical strategy
- Consult with product teams on data practice adoption
- Create documentation to enable self-service data products
- Improve data accessibility and contribution frameworks
- Drive conceptual work during product discovery phases
- Evolve the central dbt and SQL transformation framework
- Conduct technical interviews and define role requirements
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- SQL
- Python
- dbt
- GitHub Actions
- AWS
- AWS Quicksight
- Apache Superset
- Tableau
Benefits
Flexible Working
- Hybrid work setup
- Flexible working hours
- Flexible work arrangements
Workation & Sabbatical
- 6-week international remote work
- Sabbatical and unpaid leave
Competitive Pay
- Competitive salary with bonus
Additional Allowances
- Home office budget
- Monthly home office allowance
Public Transport Subsidies
- Subsidized Deutschlandticket
- Discounted MOIA rides
Healthcare & Fitness
- Subsidized fitness club membership
Company Bike
- Subsidized bike leasing
Learning & Development
- Continuous learning days
- Trainings and workshops
- Coaching and conferences
- Books and language classes
Diverse Work
- Job rotation
Mental Health Support
- Mental health support
- Mental unload workshops
Mentorship & Coaching
- 1:1 professional sessions
More Vacation Days
- 30 vacation days
Other Benefits
- Relocation support
- Visa and administration support
Informal Culture
- Dog-friendly offices
About the Company
MOIA
Industry
Automotive
Description
The company is focused on shaping a fair and market-competitive Total Rewards strategy for autonomous mobility.
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