Dein persönlicher KI-Karriere-Agent
Senior Data Engineer(m/w/x)
Designing scalable data pipelines and operating robust data integrations on Azure/Databricks. 5+ years of data engineering experience with SQL, Python, and orchestration tools required. Flexible work scheme, hybrid model, and work from anywhere policy.
Anforderungen
- University degree in computer science or STEM
- Minimum 5 years data engineering experience in Azure/Databricks
- SQL and Python development experience
- Minimum 5 years experience with data orchestration tools
- Hands-on experience in Dagster preferred
- Agile development practices background
- In-depth experience with CI/CD and DataOps
- Proven track record building robust data products
- Proven track record building scalable data products
- Proven track record building high-quality data products
- Fluent English
Aufgaben
- Build backend services
- Develop tooling and frameworks
- Design scalable data pipelines
- Operate robust data integrations
- Advance team with expertise
- Collaborate with data platform teams
- Deliver user-centric data platform
- Support self-service AI platform
Berufserfahrung
- 5 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Azure
- Databricks
- SQL
- Python
- Airflow
- Dagster
- Prefect
- CI/CD
- DataOps
Benefits
Flexibles Arbeiten
- Flexible work scheme
- Flexible hours
- Hybrid work model
- Work from anywhere policy
Karriere- und Weiterentwicklung
- Growth opportunities
Gesundheits- & Fitnessangebote
- Health and preventive care programs
- MEGA Preventive Health Insurance
Großzügige Elternzeit
- Gender-neutral parental leave
Attraktive Vergütung
- Employee Share Plan
- Henkel matching shares
Betriebliche Altersvorsorge
- Company Pension Plan
Sonstige Vorteile
- CareFlex Supplementary Care Insurance
Firmenfahrrad
- My Henkel Bike
Öffi Tickets
- Jobticket
Weiterbildungsangebote
- Trainings
- Rotation programs
- Development programs
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Senior Data Engineer(m/w/x)
Designing scalable data pipelines and operating robust data integrations on Azure/Databricks. 5+ years of data engineering experience with SQL, Python, and orchestration tools required. Flexible work scheme, hybrid model, and work from anywhere policy.
Anforderungen
- University degree in computer science or STEM
- Minimum 5 years data engineering experience in Azure/Databricks
- SQL and Python development experience
- Minimum 5 years experience with data orchestration tools
- Hands-on experience in Dagster preferred
- Agile development practices background
- In-depth experience with CI/CD and DataOps
- Proven track record building robust data products
- Proven track record building scalable data products
- Proven track record building high-quality data products
- Fluent English
Aufgaben
- Build backend services
- Develop tooling and frameworks
- Design scalable data pipelines
- Operate robust data integrations
- Advance team with expertise
- Collaborate with data platform teams
- Deliver user-centric data platform
- Support self-service AI platform
Berufserfahrung
- 5 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Azure
- Databricks
- SQL
- Python
- Airflow
- Dagster
- Prefect
- CI/CD
- DataOps
Benefits
Flexibles Arbeiten
- Flexible work scheme
- Flexible hours
- Hybrid work model
- Work from anywhere policy
Karriere- und Weiterentwicklung
- Growth opportunities
Gesundheits- & Fitnessangebote
- Health and preventive care programs
- MEGA Preventive Health Insurance
Großzügige Elternzeit
- Gender-neutral parental leave
Attraktive Vergütung
- Employee Share Plan
- Henkel matching shares
Betriebliche Altersvorsorge
- Company Pension Plan
Sonstige Vorteile
- CareFlex Supplementary Care Insurance
Firmenfahrrad
- My Henkel Bike
Öffi Tickets
- Jobticket
Weiterbildungsangebote
- Trainings
- Rotation programs
- Development programs
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Henkel
Branche
IT
Beschreibung
Das Unternehmen gestaltet die Zukunft von Produktionsstandorten durch Digitalisierung und innovative Ingenieurlösungen.
Noch nicht perfekt?
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