Dein persönlicher KI-Karriere-Agent
Data Platform Engineer(m/w/x)
Developing and maintaining a data ecosystem using Databricks for scalable analytics and AI infrastructure. Cloud security, networking, and authentication expertise required. Flexible hybrid work, company pension scheme.
Anforderungen
- M.Sc. Computer Science or related technical field
- Focus on (Data) Platform Engineering
- Building secure and scalable data platforms
- Cloud technologies focus on security, networking, authentication
- Proficiency with cloud providers (Azure, AWS)
- Proficiency with container technologies (Docker, Kubernetes)
- Proficiency with CI/CD (GitHub Actions)
- Proficiency with IaC (Terraform / Terragrunt)
- Experience with Databricks / Spark
- Experience with data lakes
- Experience with SQL- and NoSQL databases
- Development and operation of distributed systems
- Excellent programming skills (Python or GoLang)
- Basic experience with Data Science or Machine Learning
- Excellent spoken and written communication skills in German
- Excellent spoken and written communication skills in English
Aufgaben
- Develop and maintain data ecosystem
- Use Databricks for scalable platform
- Improve analytics and AI infrastructure
- Drive data platform innovation
- Implement security measures and monitoring
- Extend setup with auditing and policies
- Build CI/CD tools and processes
- Enable efficient data ingestion
- Provide guidance and best practices
- Offer blueprint architectures
- Support Data Scientists and Engineers
- Contribute to AI initiatives
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Deutsch – fließend
- Englisch – fließend
Tools & Technologien
- Azure
- AWS
- Docker
- Kubernetes
- GitHub Actions
- Terraform
- Terragrunt
- Databricks
- Spark
- SQL
- NoSQL
- Python
- GoLang
- Data Science
- Machine Learning
Benefits
Attraktive Vergütung
- Attractive remuneration
Flexibles Arbeiten
- Flexible and hybrid working
Modernes Büro
- Space for creative working
Betriebliche Altersvorsorge
- Company pension scheme
Sicherer Arbeitsplatz
- Crisis-proof workplace
Weiterbildungsangebote
- Individual development and training opportunities
Mitarbeiterrabatte
- Employee benefits & discounts
Firmenfahrrad
- Bicycle leasing through salary conversion
Gesundheits- & Fitnessangebote
- Company health management
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Data Platform Engineer(m/w/x)
Developing and maintaining a data ecosystem using Databricks for scalable analytics and AI infrastructure. Cloud security, networking, and authentication expertise required. Flexible hybrid work, company pension scheme.
Anforderungen
- M.Sc. Computer Science or related technical field
- Focus on (Data) Platform Engineering
- Building secure and scalable data platforms
- Cloud technologies focus on security, networking, authentication
- Proficiency with cloud providers (Azure, AWS)
- Proficiency with container technologies (Docker, Kubernetes)
- Proficiency with CI/CD (GitHub Actions)
- Proficiency with IaC (Terraform / Terragrunt)
- Experience with Databricks / Spark
- Experience with data lakes
- Experience with SQL- and NoSQL databases
- Development and operation of distributed systems
- Excellent programming skills (Python or GoLang)
- Basic experience with Data Science or Machine Learning
- Excellent spoken and written communication skills in German
- Excellent spoken and written communication skills in English
Aufgaben
- Develop and maintain data ecosystem
- Use Databricks for scalable platform
- Improve analytics and AI infrastructure
- Drive data platform innovation
- Implement security measures and monitoring
- Extend setup with auditing and policies
- Build CI/CD tools and processes
- Enable efficient data ingestion
- Provide guidance and best practices
- Offer blueprint architectures
- Support Data Scientists and Engineers
- Contribute to AI initiatives
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Deutsch – fließend
- Englisch – fließend
Tools & Technologien
- Azure
- AWS
- Docker
- Kubernetes
- GitHub Actions
- Terraform
- Terragrunt
- Databricks
- Spark
- SQL
- NoSQL
- Python
- GoLang
- Data Science
- Machine Learning
Benefits
Attraktive Vergütung
- Attractive remuneration
Flexibles Arbeiten
- Flexible and hybrid working
Modernes Büro
- Space for creative working
Betriebliche Altersvorsorge
- Company pension scheme
Sicherer Arbeitsplatz
- Crisis-proof workplace
Weiterbildungsangebote
- Individual development and training opportunities
Mitarbeiterrabatte
- Employee benefits & discounts
Firmenfahrrad
- Bicycle leasing through salary conversion
Gesundheits- & Fitnessangebote
- Company health management
Über das Unternehmen
Liebherr-Digital Development Center GmbH
Branche
IT
Beschreibung
Das Unternehmen entwickelt am Standort Ulm digitale Lösungen für die gesamte Firmengruppe Liebherr.
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- Mercedes-Benz Tech Innovation
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