The AI Job Search Engine
Data Engineer(m/w/x)
Description
You will bridge the gap between raw data and refined products by building scalable pipelines and empowering other teams to create their own data solutions within a collaborative framework.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Background in data, analytics, or software engineering
- •Fluency in Python, SQL, and Git
- •Understanding of production-grade data engineering concepts
- •Knowledge of dbt, sqlmesh, Airflow, or Dagster
- •Knowledge of semantic layers and CubeJS (plus)
- •Ability to implement software changes incrementally
- •Willingness to investigate and fix failing services
- •Experience with observability and monitoring (nice to have)
- •Past experience with infrastructure projects
- •Knowledge of AWS, GCP, Azure, or Athena
- •Familiarity with data modeling practices (nice to have)
- •Willingness to participate in stakeholder meetings
- •Comfortable working in small, communicative teams
Education
Work Experience
approx. 4 - 6 years
Tasks
- •Improve custom data operation tooling
- •Enhance the developer experience
- •Bootstrap new data services with the platform team
- •Implement infrastructure while ensuring data security
- •Facilitate CI/CD and test data quality
- •Improve data observability and ensure modularity
- •Design and implement scalable dbt and Python pipelines
- •Enable product teams to build data products
- •Provide onboarding sessions, consulting, and documentation
- •Pair with colleagues on complex coding challenges
- •Collaborate on continuous process improvements
Tools & Technologies
Languages
English – Business Fluent
Benefits
Flexible Working
- •Hybrid work setup
- •Flexible working hours
- •Flexible work arrangements
- •6-week annual remote work
Additional Allowances
- •Home office budget
- •Monthly home office allowance
Public Transport Subsidies
- •Fully 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
Workation & Sabbatical
- •Sabbatical and unpaid leave
Other Benefits
- •Relocation support
- •Visa and administration support
- •Unconscious bias training
Informal Culture
- •Dog-friendly offices
- Rebike Mobility GmbHFull-timeWith HomeofficeExperiencedMünchen
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Data Engineer(m/w/x)
Full-timeWith HomeofficeExperiencedMünchen, Berlin, Hamburg
Data Engineer(m/w/x)
The AI Job Search Engine
Description
You will bridge the gap between raw data and refined products by building scalable pipelines and empowering other teams to create their own data solutions within a collaborative framework.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Background in data, analytics, or software engineering
- •Fluency in Python, SQL, and Git
- •Understanding of production-grade data engineering concepts
- •Knowledge of dbt, sqlmesh, Airflow, or Dagster
- •Knowledge of semantic layers and CubeJS (plus)
- •Ability to implement software changes incrementally
- •Willingness to investigate and fix failing services
- •Experience with observability and monitoring (nice to have)
- •Past experience with infrastructure projects
- •Knowledge of AWS, GCP, Azure, or Athena
- •Familiarity with data modeling practices (nice to have)
- •Willingness to participate in stakeholder meetings
- •Comfortable working in small, communicative teams
Education
Work Experience
approx. 4 - 6 years
Tasks
- •Improve custom data operation tooling
- •Enhance the developer experience
- •Bootstrap new data services with the platform team
- •Implement infrastructure while ensuring data security
- •Facilitate CI/CD and test data quality
- •Improve data observability and ensure modularity
- •Design and implement scalable dbt and Python pipelines
- •Enable product teams to build data products
- •Provide onboarding sessions, consulting, and documentation
- •Pair with colleagues on complex coding challenges
- •Collaborate on continuous process improvements
Tools & Technologies
Languages
English – Business Fluent
Benefits
Flexible Working
- •Hybrid work setup
- •Flexible working hours
- •Flexible work arrangements
- •6-week annual remote work
Additional Allowances
- •Home office budget
- •Monthly home office allowance
Public Transport Subsidies
- •Fully 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
Workation & Sabbatical
- •Sabbatical and unpaid leave
Other Benefits
- •Relocation support
- •Visa and administration support
- •Unconscious bias training
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.
- Rebike Mobility GmbH
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Full-timeWith HomeofficeExperiencedMünchen - Peter Park System GmbH
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Senior Data Engineer(m/w/x)
Full-timeWith HomeofficeSeniorBerlin, München, Halle (Saale) - smartclip Europe GmbH
Data Engineer - AI(m/w/x)
Full-timeWith HomeofficeExperiencedHamburg, Berlin, Köln, Düsseldorf, Gütersloh, München - OMMAX
Data Engineer(m/w/x)
Full-timeWith HomeofficeExperiencedMünchen, Berlin, Hamburg