Rebike Mobility GmbH
Data Engineer(m/w/x)
Full-timeWith HomeofficeExperienced
München
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TUTulip Interfaces
.Data Operations Engineer(m/w/x)
München
Full-timeWith Home OfficeExperienced
AI/ML
Nejo AI Summary
Building AI-native frontline operations apps with composable, connected data models. AI tooling as primary engineering mode required. Direct impact on product, private healthcare, and company equity.
Requirements
- Understanding of data meaning over storage
- Production data model development
- Translating business questions to definitions
- AI tooling as primary engineering mode
- Developing point of view on AI data quality
- Stakeholder engagement for needs clarification
- Structured analytical approach development
- Interest in agentic tools role
- Shaping central data team delivery
- Bachelor's degree or equivalent experience
- Proficiency with agentic coding tools
- Building, testing, documenting production data models with AI
- Shipping reusable assets for agentic workflows
- Translating business requirements to analytical approaches
- Running workshops for alignment
- Aligning stakeholders on metric definitions
- Strong data modeling skills
- Performant SQL against cloud warehouses
- Emphasis on data quality
- Automated testing for data quality
- SQL proficiency
- Python proficiency
- Data modeling with SQL and Python
- Pipeline orchestration with SQL and Python
- API integrations with SQL and Python
- Broader data stack experience
- Experience with semantic modeling tools
- Experience with data cataloging platforms
- Experience with metadata platforms
- Familiarity with BI tools
- Application encouraged despite not meeting all requirements
Tasks
- Build and maintain data models and pipelines
- Use AI coding tools with best practices
- Document processes clearly and consistently
- Accelerate data modeling and testing workflows
- Stay informed on business logic and edge cases
- Partner with stakeholders to align metric definitions
- Run alignment workshops for canonical standards
- Define and enforce data quality standards
- Create unit tests with sample data
- Place tests with lineage awareness
- Enable domain analysts to follow standards
- Prototype semantic and context layers
- Make data accessible to analysts and AI agents
- Document and instruct LLM behavior
- Assess AI deployment risks
- Deploy AI for internal modeling and testing
- Approach self-serve BI with caution
- Be most cautious with customer-facing AI
Work Experience
- 4 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Claude Code
- Cursor
- SQL
- Python
- dbt
- Airflow
- dlt
- MetricFlow
- Cube
- LookML
- DataHub
- Atlan
- Tableau
- Looker
- Sigma
Benefits
Startup Environment
- Direct impact on product and culture
Healthcare & Fitness
- Private Healthcare insurance
Competitive Pay
- Company equity
Team Events
- Virtual company events
- Happy hours
- Team events
- Virtual company events
- Physical company events
Flexible Working
- Flexible work schedule
More Vacation Days
- Unlimited vacation policy
Free or Subsidized Food
- Team Lunches
- Catered lunches
- Company-provided lunch benefits via Cibus card
Snacks & Drinks
- Office snacks
Learning & Development
- Learning & Development benefits
Ergonomic Workplace
- HU Eyeglass Benefit
Informal Culture
- Dog-friendly office
- Working with international colleagues
Parking & Commuter Benefits
- Commuter benefits
Additional Allowances
- Learning and development stipend
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Tulip Interfaces and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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TUTulip Interfaces
.Data Operations Engineer(m/w/x)
München
Full-timeWith Home OfficeExperienced
AI/ML
Nejo AI Summary
Building AI-native frontline operations apps with composable, connected data models. AI tooling as primary engineering mode required. Direct impact on product, private healthcare, and company equity.
Requirements
- Understanding of data meaning over storage
- Production data model development
- Translating business questions to definitions
- AI tooling as primary engineering mode
- Developing point of view on AI data quality
- Stakeholder engagement for needs clarification
- Structured analytical approach development
- Interest in agentic tools role
- Shaping central data team delivery
- Bachelor's degree or equivalent experience
- Proficiency with agentic coding tools
- Building, testing, documenting production data models with AI
- Shipping reusable assets for agentic workflows
- Translating business requirements to analytical approaches
- Running workshops for alignment
- Aligning stakeholders on metric definitions
- Strong data modeling skills
- Performant SQL against cloud warehouses
- Emphasis on data quality
- Automated testing for data quality
- SQL proficiency
- Python proficiency
- Data modeling with SQL and Python
- Pipeline orchestration with SQL and Python
- API integrations with SQL and Python
- Broader data stack experience
- Experience with semantic modeling tools
- Experience with data cataloging platforms
- Experience with metadata platforms
- Familiarity with BI tools
- Application encouraged despite not meeting all requirements
Tasks
- Build and maintain data models and pipelines
- Use AI coding tools with best practices
- Document processes clearly and consistently
- Accelerate data modeling and testing workflows
- Stay informed on business logic and edge cases
- Partner with stakeholders to align metric definitions
- Run alignment workshops for canonical standards
- Define and enforce data quality standards
- Create unit tests with sample data
- Place tests with lineage awareness
- Enable domain analysts to follow standards
- Prototype semantic and context layers
- Make data accessible to analysts and AI agents
- Document and instruct LLM behavior
- Assess AI deployment risks
- Deploy AI for internal modeling and testing
- Approach self-serve BI with caution
- Be most cautious with customer-facing AI
Work Experience
- 4 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Claude Code
- Cursor
- SQL
- Python
- dbt
- Airflow
- dlt
- MetricFlow
- Cube
- LookML
- DataHub
- Atlan
- Tableau
- Looker
- Sigma
Benefits
Startup Environment
- Direct impact on product and culture
Healthcare & Fitness
- Private Healthcare insurance
Competitive Pay
- Company equity
Team Events
- Virtual company events
- Happy hours
- Team events
- Virtual company events
- Physical company events
Flexible Working
- Flexible work schedule
More Vacation Days
- Unlimited vacation policy
Free or Subsidized Food
- Team Lunches
- Catered lunches
- Company-provided lunch benefits via Cibus card
Snacks & Drinks
- Office snacks
Learning & Development
- Learning & Development benefits
Ergonomic Workplace
- HU Eyeglass Benefit
Informal Culture
- Dog-friendly office
- Working with international colleagues
Parking & Commuter Benefits
- Commuter benefits
Additional Allowances
- Learning and development stipend
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Tulip Interfaces and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Tulip Interfaces
Industry
IT
Description
The company helps equip workforces with connected apps for improved efficiency and quality in operations.
Not a perfect match?
- Rebike Mobility GmbH
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Full-timeWith HomeofficeExperiencedMünchen - Xempus AG
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