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Software Developer for scientific applications with a focus on Big Data(m/w/x)
Developing scientific Big Data applications for plant breeding, migrating relational systems to a data lakehouse. Practical experience with distributed systems and DataLake technologies required. Subsidized canteen, direct rail connections, excellent work equipment.
Requirements
- University degree in computer science or comparable qualification
- Very good C# (.NET Core) and Python knowledge
- Practical experience with distributed systems, ideally AWS cloud or Docker/Kubernetes
- Practical experience with DataLake technologies (Databricks, AWS Athena, Apache Spark)
- Practical experience in professional software development (DI, mocking, TDD, CI/CD)
- Confident handling of relational databases (PostgreSQL, Oracle) and AWS technologies
- Proficiency in Azure DevOps, Jira or GitLab, GIT, and agile methods (SCRUM)
- Good command of English and German
Tasks
- Analyze business domains with experts in workshops
- Design and implement software solutions collaboratively with users
- Apply .NET, cloud technologies, and data pipelines
- Migrate relational systems to a newly designed data lakehouse
- Implement new or existing interfaces and data services
- Manage the backend and end-user frontend
- Ensure smooth operation of legacy systems
- Apply modern DevOps practices for reliable software operations
Work Experience
- approx. 1 - 4 years
Education
- Vocational certificationOR
- Bachelor's degree
Languages
- English – Business Fluent
- German – Business Fluent
Tools & Technologies
- C#
- .NET Core
- Python
- AWS
- Docker
- Kubernetes
- Databricks
- AWS Athena
- Apache Spark
- PostgreSQL
- Oracle
- Azure DevOps
- Jira
- GitLab
- GIT
Benefits
Informal Culture
- Open and friendly working atmosphere
Learning & Development
- Professional and personal development
Modern Equipment
- Excellent work equipment
Free or Subsidized Food
- Subsidized canteen
Public Transport Subsidies
- Direct rail connections
- Job Ticket
Parking & Commuter Benefits
- Free parking
Flexible Working
- Flexible working hours
- Flexible remote opportunities within Germany
Retirement Plans
- Company pension scheme
Additional Allowances
- Capital-forming benefits
- Childcare allowance
Bonuses & Incentives
- Christmas and holiday bonuses
Competitive Pay
- Preferential shares
Company Bike
- Job Bike
Healthcare & Fitness
- Company doctor
- Company paramedic
- Company sports
Other Benefits
- Company fire brigade
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- KWS SAATFull-timeWith HomeofficeExperiencedEinbeck
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Content Marketing Manager(m/w/x)
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Software Developer for scientific applications with a focus on Big Data(m/w/x)
Developing scientific Big Data applications for plant breeding, migrating relational systems to a data lakehouse. Practical experience with distributed systems and DataLake technologies required. Subsidized canteen, direct rail connections, excellent work equipment.
Requirements
- University degree in computer science or comparable qualification
- Very good C# (.NET Core) and Python knowledge
- Practical experience with distributed systems, ideally AWS cloud or Docker/Kubernetes
- Practical experience with DataLake technologies (Databricks, AWS Athena, Apache Spark)
- Practical experience in professional software development (DI, mocking, TDD, CI/CD)
- Confident handling of relational databases (PostgreSQL, Oracle) and AWS technologies
- Proficiency in Azure DevOps, Jira or GitLab, GIT, and agile methods (SCRUM)
- Good command of English and German
Tasks
- Analyze business domains with experts in workshops
- Design and implement software solutions collaboratively with users
- Apply .NET, cloud technologies, and data pipelines
- Migrate relational systems to a newly designed data lakehouse
- Implement new or existing interfaces and data services
- Manage the backend and end-user frontend
- Ensure smooth operation of legacy systems
- Apply modern DevOps practices for reliable software operations
Work Experience
- approx. 1 - 4 years
Education
- Vocational certificationOR
- Bachelor's degree
Languages
- English – Business Fluent
- German – Business Fluent
Tools & Technologies
- C#
- .NET Core
- Python
- AWS
- Docker
- Kubernetes
- Databricks
- AWS Athena
- Apache Spark
- PostgreSQL
- Oracle
- Azure DevOps
- Jira
- GitLab
- GIT
Benefits
Informal Culture
- Open and friendly working atmosphere
Learning & Development
- Professional and personal development
Modern Equipment
- Excellent work equipment
Free or Subsidized Food
- Subsidized canteen
Public Transport Subsidies
- Direct rail connections
- Job Ticket
Parking & Commuter Benefits
- Free parking
Flexible Working
- Flexible working hours
- Flexible remote opportunities within Germany
Retirement Plans
- Company pension scheme
Additional Allowances
- Capital-forming benefits
- Childcare allowance
Bonuses & Incentives
- Christmas and holiday bonuses
Competitive Pay
- Preferential shares
Company Bike
- Job Bike
Healthcare & Fitness
- Company doctor
- Company paramedic
- Company sports
Other Benefits
- Company fire brigade
About the Company
KWS SAAT
Industry
Agriculture
Description
The company is one of the world’s leading plant breeding companies, focusing on seed production and innovation.
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