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Data Engineer (Azure)(m/w/x)
Designing scalable data pipelines with Azure Databricks and Data Factory for life science technology. First years of professional experience with Azure Data Lake Storage required. 30 vacation days, vacation and holiday bonuses.
Requirements
- Vocational training in IT or comparable qualification
- First years of relevant professional experience in data engineering
- Hands-on experience with Azure Data Factory
- Hands-on experience with Azure Databricks
- Hands-on experience with Azure Data Lake Storage
- Proficiency in Python
- Proficiency in SQL
- Practical experience building ETL/ELT pipelines
- Practical experience operating ETL/ELT pipelines
- Solid understanding of data modeling concepts
- Solid understanding of modern data warehousing approaches
- Experience with Git-based version control
- Experience with CI/CD pipelines
- Experience using Azure DevOps ideally
- Experience using Databricks Asset Bundles ideally
- Structured way of working
- Solution-oriented way of working
- Strong analytical thinking
- Reliability
- Ability to collaborate effectively with technical stakeholders
- Ability to collaborate effectively with non-technical stakeholders
- Fluent English skills
- Good German skills
Tasks
- Design scalable data pipelines using Microsoft Azure services
- Process large datasets with Azure Databricks
- Build and optimize ETL/ELT workflows using Azure Data Factory
- Develop data models for modern data warehousing
- Ensure data quality, integrity, and governance
- Collaborate with data analysts, data scientists, and business stakeholders
- Identify and resolve data pipeline and performance issues
Work Experience
- approx. 1 - 4 years
Education
- Vocational certification
Languages
- English – Fluent
- German – Advanced
Tools & Technologies
- Azure Data Factory
- Azure Databricks
- Azure Data Lake Storage
- Python
- SQL
- Git
- CI/CD
- Azure DevOps
- Databricks Asset Bundles
Benefits
More Vacation Days
- Vacation bonus
- 30 vacation days
Bonuses & Incentives
- Holiday bonus
Retirement Plans
- Pension benefits
Mentorship & Coaching
- Mentoring
- Talent Talks
- Buddy system
- Coaching communities
Career Advancement
- Leadership programs
- Business women network
Learning & Development
- Internal seminar offerings
- Welcome Workshops
Flexible Working
- Remote options
- Flextime
- Flexible work schedules
Modern Office
- Open office spaces
- Terraces
Free or Subsidized Food
- Company restaurant
- Vegetarian and vegan options
- Italian bistro
Other Benefits
- Ice cream sales
- Comprehensive onboarding
- Virtual online platform
- Mutual support
Healthcare & Fitness
- Fitness studio
Childcare
- Daycare center
Company Vehicle
- Car leasing
Company Bike
- Bike leasing
Parking & Commuter Benefits
- Free parking garage
- Good bus connections
Informal Culture
- Team spirit
- International collaboration
Startup Environment
- Agile working communities
- Home
- Jobs in Germany
- Data Engineer (Azure)Data Engineer (Azure) at Sartorius Corporate Administrati...
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- Home
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- Data Engineer (Azure)Data Engineer (Azure) at Sartorius Corporate Administrati...
Data Engineer (Azure)(m/w/x)
Designing scalable data pipelines with Azure Databricks and Data Factory for life science technology. First years of professional experience with Azure Data Lake Storage required. 30 vacation days, vacation and holiday bonuses.
Requirements
- Vocational training in IT or comparable qualification
- First years of relevant professional experience in data engineering
- Hands-on experience with Azure Data Factory
- Hands-on experience with Azure Databricks
- Hands-on experience with Azure Data Lake Storage
- Proficiency in Python
- Proficiency in SQL
- Practical experience building ETL/ELT pipelines
- Practical experience operating ETL/ELT pipelines
- Solid understanding of data modeling concepts
- Solid understanding of modern data warehousing approaches
- Experience with Git-based version control
- Experience with CI/CD pipelines
- Experience using Azure DevOps ideally
- Experience using Databricks Asset Bundles ideally
- Structured way of working
- Solution-oriented way of working
- Strong analytical thinking
- Reliability
- Ability to collaborate effectively with technical stakeholders
- Ability to collaborate effectively with non-technical stakeholders
- Fluent English skills
- Good German skills
Tasks
- Design scalable data pipelines using Microsoft Azure services
- Process large datasets with Azure Databricks
- Build and optimize ETL/ELT workflows using Azure Data Factory
- Develop data models for modern data warehousing
- Ensure data quality, integrity, and governance
- Collaborate with data analysts, data scientists, and business stakeholders
- Identify and resolve data pipeline and performance issues
Work Experience
- approx. 1 - 4 years
Education
- Vocational certification
Languages
- English – Fluent
- German – Advanced
Tools & Technologies
- Azure Data Factory
- Azure Databricks
- Azure Data Lake Storage
- Python
- SQL
- Git
- CI/CD
- Azure DevOps
- Databricks Asset Bundles
Benefits
More Vacation Days
- Vacation bonus
- 30 vacation days
Bonuses & Incentives
- Holiday bonus
Retirement Plans
- Pension benefits
Mentorship & Coaching
- Mentoring
- Talent Talks
- Buddy system
- Coaching communities
Career Advancement
- Leadership programs
- Business women network
Learning & Development
- Internal seminar offerings
- Welcome Workshops
Flexible Working
- Remote options
- Flextime
- Flexible work schedules
Modern Office
- Open office spaces
- Terraces
Free or Subsidized Food
- Company restaurant
- Vegetarian and vegan options
- Italian bistro
Other Benefits
- Ice cream sales
- Comprehensive onboarding
- Virtual online platform
- Mutual support
Healthcare & Fitness
- Fitness studio
Childcare
- Daycare center
Company Vehicle
- Car leasing
Company Bike
- Bike leasing
Parking & Commuter Benefits
- Free parking garage
- Good bus connections
Informal Culture
- Team spirit
- International collaboration
Startup Environment
- Agile working communities
About the Company
Sartorius Corporate Administration GmbH
Industry
Pharmaceuticals
Description
The company is a growing global life science company that helps translate scientific discoveries into real-world medicine.
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