Mercedes-Benz Tech Innovation
Software Engineer / Data Scientist AI(m/w/x)
Full-timeWith HomeofficeExperienced
Ulm
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LILiebherr-Digital Development Center GmbH
Data Platform Engineer(m/w/x)
Ulm
Full-timeWith Home OfficeExperienced
AI/ML
Data Science
Nejo AI Summary
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.
Requirements
- 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
Tasks
- 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
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- German – Native
- English – Native
Tools & Technologies
- Azure
- AWS
- Docker
- Kubernetes
- GitHub Actions
- Terraform
- Terragrunt
- Databricks
- Spark
- SQL
- NoSQL
- Python
- GoLang
- Data Science
- Machine Learning
Benefits
Competitive Pay
- Attractive remuneration
Flexible Working
- Flexible and hybrid working
Modern Office
- Space for creative working
Retirement Plans
- Company pension scheme
Job Security
- Crisis-proof workplace
Learning & Development
- Individual development and training opportunities
Corporate Discounts
- Employee benefits & discounts
Company Bike
- Bicycle leasing through salary conversion
Healthcare & Fitness
- Company health management
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Liebherr-Digital Development Center GmbH and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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LILiebherr-Digital Development Center GmbH
Data Platform Engineer(m/w/x)
Ulm
Full-timeWith Home OfficeExperienced
AI/ML
Data Science
Nejo AI Summary
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.
Requirements
- 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
Tasks
- 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
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- German – Native
- English – Native
Tools & Technologies
- Azure
- AWS
- Docker
- Kubernetes
- GitHub Actions
- Terraform
- Terragrunt
- Databricks
- Spark
- SQL
- NoSQL
- Python
- GoLang
- Data Science
- Machine Learning
Benefits
Competitive Pay
- Attractive remuneration
Flexible Working
- Flexible and hybrid working
Modern Office
- Space for creative working
Retirement Plans
- Company pension scheme
Job Security
- Crisis-proof workplace
Learning & Development
- Individual development and training opportunities
Corporate Discounts
- Employee benefits & discounts
Company Bike
- Bicycle leasing through salary conversion
Healthcare & Fitness
- Company health management
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Liebherr-Digital Development Center GmbH and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Liebherr-Digital Development Center GmbH
Industry
IT
Description
Das Unternehmen entwickelt am Standort Ulm digitale Lösungen für die gesamte Firmengruppe Liebherr.
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