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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.
Requirements
- 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
Tasks
- 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
Work Experience
- 5 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Azure
- Databricks
- SQL
- Python
- Airflow
- Dagster
- Prefect
- CI/CD
- DataOps
Benefits
Flexible Working
- Flexible work scheme
- Flexible hours
- Hybrid work model
- Work from anywhere policy
Career Advancement
- Growth opportunities
Healthcare & Fitness
- Health and preventive care programs
- MEGA Preventive Health Insurance
Generous Parental Leave
- Gender-neutral parental leave
Competitive Pay
- Employee Share Plan
- Henkel matching shares
Retirement Plans
- Company Pension Plan
Other Benefits
- CareFlex Supplementary Care Insurance
Company Bike
- My Henkel Bike
Public Transport Subsidies
- Jobticket
Learning & Development
- 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.
Requirements
- 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
Tasks
- 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
Work Experience
- 5 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Azure
- Databricks
- SQL
- Python
- Airflow
- Dagster
- Prefect
- CI/CD
- DataOps
Benefits
Flexible Working
- Flexible work scheme
- Flexible hours
- Hybrid work model
- Work from anywhere policy
Career Advancement
- Growth opportunities
Healthcare & Fitness
- Health and preventive care programs
- MEGA Preventive Health Insurance
Generous Parental Leave
- Gender-neutral parental leave
Competitive Pay
- Employee Share Plan
- Henkel matching shares
Retirement Plans
- Company Pension Plan
Other Benefits
- CareFlex Supplementary Care Insurance
Company Bike
- My Henkel Bike
Public Transport Subsidies
- Jobticket
Learning & Development
- Trainings
- Rotation programs
- Development programs
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Henkel
Industry
IT
Description
Das Unternehmen gestaltet die Zukunft von Produktionsstandorten durch Digitalisierung und innovative Ingenieurlösungen.
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