Dein persönlicher KI-Karriere-Agent
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Abgeschlossene Berufsausbildung
Sprachen
- Englisch – fließend
- Deutsch – fortgeschritten
Tools & Technologien
- Azure Data Factory
- Azure Databricks
- Azure Data Lake Storage
- Python
- SQL
- Git
- CI/CD
- Azure DevOps
- Databricks Asset Bundles
Benefits
Mehr Urlaubstage
- Vacation bonus
- 30 vacation days
Boni & Prämien
- Holiday bonus
Betriebliche Altersvorsorge
- Pension benefits
Mentoring & Coaching
- Mentoring
- Talent Talks
- Buddy system
- Coaching communities
Karriere- und Weiterentwicklung
- Leadership programs
- Business women network
Weiterbildungsangebote
- Internal seminar offerings
- Welcome Workshops
Flexibles Arbeiten
- Remote options
- Flextime
- Flexible work schedules
Modernes Büro
- Open office spaces
- Terraces
Gratis oder Vergünstigte Mahlzeiten
- Company restaurant
- Vegetarian and vegan options
- Italian bistro
Sonstige Vorteile
- Ice cream sales
- Comprehensive onboarding
- Virtual online platform
- Mutual support
Gesundheits- & Fitnessangebote
- Fitness studio
Kinderbetreuung
- Daycare center
Firmenwagen
- Car leasing
Firmenfahrrad
- Bike leasing
Parkplatz & Pendelvorteile
- Free parking garage
- Good bus connections
Lockere Unternehmenskultur
- Team spirit
- International collaboration
Startup-Atmosphäre
- Agile working communities
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- Sartorius Stedim Biotech GmbHVollzeitmit HomeofficeBerufserfahrenGöttingen
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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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Abgeschlossene Berufsausbildung
Sprachen
- Englisch – fließend
- Deutsch – fortgeschritten
Tools & Technologien
- Azure Data Factory
- Azure Databricks
- Azure Data Lake Storage
- Python
- SQL
- Git
- CI/CD
- Azure DevOps
- Databricks Asset Bundles
Benefits
Mehr Urlaubstage
- Vacation bonus
- 30 vacation days
Boni & Prämien
- Holiday bonus
Betriebliche Altersvorsorge
- Pension benefits
Mentoring & Coaching
- Mentoring
- Talent Talks
- Buddy system
- Coaching communities
Karriere- und Weiterentwicklung
- Leadership programs
- Business women network
Weiterbildungsangebote
- Internal seminar offerings
- Welcome Workshops
Flexibles Arbeiten
- Remote options
- Flextime
- Flexible work schedules
Modernes Büro
- Open office spaces
- Terraces
Gratis oder Vergünstigte Mahlzeiten
- Company restaurant
- Vegetarian and vegan options
- Italian bistro
Sonstige Vorteile
- Ice cream sales
- Comprehensive onboarding
- Virtual online platform
- Mutual support
Gesundheits- & Fitnessangebote
- Fitness studio
Kinderbetreuung
- Daycare center
Firmenwagen
- Car leasing
Firmenfahrrad
- Bike leasing
Parkplatz & Pendelvorteile
- Free parking garage
- Good bus connections
Lockere Unternehmenskultur
- Team spirit
- International collaboration
Startup-Atmosphäre
- Agile working communities
Über das Unternehmen
Sartorius Corporate Administration GmbH
Branche
Pharmaceuticals
Beschreibung
The company is a growing global life science company that helps translate scientific discoveries into real-world medicine.
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