Rebike Mobility GmbH
Data Engineer(m/w/x)
Vollzeitmit HomeofficeBerufserfahren
München
Neuer Job?Nejo!
Dein persönlicher KI-Karriere-Agent
TUTulip Interfaces
.Data Operations Engineer(m/w/x)
München
Vollzeitmit HomeofficeBerufserfahren
AI/ML
Nejo KI-Zusammenfassung
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- 4 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Claude Code
- Cursor
- SQL
- Python
- dbt
- Airflow
- dlt
- MetricFlow
- Cube
- LookML
- DataHub
- Atlan
- Tableau
- Looker
- Sigma
Benefits
Startup-Atmosphäre
- Direct impact on product and culture
Gesundheits- & Fitnessangebote
- Private Healthcare insurance
Attraktive Vergütung
- Company equity
Team Events & Ausflüge
- Virtual company events
- Happy hours
- Team events
- Virtual company events
- Physical company events
Flexibles Arbeiten
- Flexible work schedule
Mehr Urlaubstage
- Unlimited vacation policy
Gratis oder Vergünstigte Mahlzeiten
- Team Lunches
- Catered lunches
- Company-provided lunch benefits via Cibus card
Snacks & Getränke
- Office snacks
Weiterbildungsangebote
- Learning & Development benefits
Ergonomischer Arbeitsplatz
- HU Eyeglass Benefit
Lockere Unternehmenskultur
- Dog-friendly office
- Working with international colleagues
Parkplatz & Pendelvorteile
- Commuter benefits
Sonstige Zulagen
- Learning and development stipend
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Tulip Interfaces erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Noch nicht perfekt?
- Xempus AG
Senior Analytics Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorMünchen - yoummday
Senior Data Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin, München, Halle (Saale) - VoiceLine
Data Engineer(m/w/x)
Vollzeitmit HomeofficeKeine AngabeMünchen - Snke
Project Engineer for Healthcare Data Modelling(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenMünchen, Heidelberg
TUTulip Interfaces
.Data Operations Engineer(m/w/x)
München
Vollzeitmit HomeofficeBerufserfahren
AI/ML
Nejo KI-Zusammenfassung
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- 4 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Claude Code
- Cursor
- SQL
- Python
- dbt
- Airflow
- dlt
- MetricFlow
- Cube
- LookML
- DataHub
- Atlan
- Tableau
- Looker
- Sigma
Benefits
Startup-Atmosphäre
- Direct impact on product and culture
Gesundheits- & Fitnessangebote
- Private Healthcare insurance
Attraktive Vergütung
- Company equity
Team Events & Ausflüge
- Virtual company events
- Happy hours
- Team events
- Virtual company events
- Physical company events
Flexibles Arbeiten
- Flexible work schedule
Mehr Urlaubstage
- Unlimited vacation policy
Gratis oder Vergünstigte Mahlzeiten
- Team Lunches
- Catered lunches
- Company-provided lunch benefits via Cibus card
Snacks & Getränke
- Office snacks
Weiterbildungsangebote
- Learning & Development benefits
Ergonomischer Arbeitsplatz
- HU Eyeglass Benefit
Lockere Unternehmenskultur
- Dog-friendly office
- Working with international colleagues
Parkplatz & Pendelvorteile
- Commuter benefits
Sonstige Zulagen
- Learning and development stipend
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Tulip Interfaces erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Über das Unternehmen
Tulip Interfaces
Branche
IT
Beschreibung
The company helps equip workforces with connected apps for improved efficiency and quality in operations.
Noch nicht perfekt?
- Rebike Mobility GmbH
Data Engineer(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenMünchen - Xempus AG
Senior Analytics Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorMünchen - yoummday
Senior Data Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin, München, Halle (Saale) - VoiceLine
Data Engineer(m/w/x)
Vollzeitmit HomeofficeKeine AngabeMünchen - Snke
Project Engineer for Healthcare Data Modelling(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenMünchen, Heidelberg