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Data Engineer(m/w/x)
Designing cloud-native PySpark data pipelines with Airflow for energy/commodity transaction settlement. Cloud environment experience, preferably GCP, required. Remote work option, flexible hybrid concept.
Requirements
- University degree or apprenticeship completion
- Experience in creating data pipelines
- Experience in cloud environment (GCP preferred)
- Clean, efficient, reusable, well-documented code writing
- Establishing best practices
Tasks
- Design cloud-based software solutions
- Develop and maintain cloud-native applications
- Support high-complexity projects
- Work with PySpark Datapipelines
- Use Airflow for workflow management
- Manage BigQuery and CloudSQL databases
- Implement Terraform for infrastructure
- Develop Spring Boot backend services
- Build React frontend applications
- Utilize Pub/Sub for messaging
- Version control with Github
- Automate with Github Actions
- Track projects with Jira
- Document processes in Confluence
- Participate in agile team meetings
- Write clean, efficient code
- Establish best coding practices
Work Experience
- approx. 1 - 4 years
Education
- Vocational certificationOR
- Bachelor's degree
Languages
- English – Fluent
- German – Fluent
Tools & Technologies
- Python
- PySpark
- SQL
- Airflow
- Terraform
- GCP
Benefits
Flexible Working
- Remote work option
- Flexible hybrid work concept
- Flexible working hours
Other Benefits
- Office in Leipzig
Childcare
- Childcare support
Additional Allowances
- Meal allowance
Public Transport Subsidies
- Job ticket
Team Events
- Sports and leisure events
Learning & Development
- Extensive training opportunities
Informal Culture
- Dynamic and international team
Job Security
- Long-term perspective
Mentorship & Coaching
- Bespoke onboarding plan
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Data Engineer(m/w/x)
Designing cloud-native PySpark data pipelines with Airflow for energy/commodity transaction settlement. Cloud environment experience, preferably GCP, required. Remote work option, flexible hybrid concept.
Requirements
- University degree or apprenticeship completion
- Experience in creating data pipelines
- Experience in cloud environment (GCP preferred)
- Clean, efficient, reusable, well-documented code writing
- Establishing best practices
Tasks
- Design cloud-based software solutions
- Develop and maintain cloud-native applications
- Support high-complexity projects
- Work with PySpark Datapipelines
- Use Airflow for workflow management
- Manage BigQuery and CloudSQL databases
- Implement Terraform for infrastructure
- Develop Spring Boot backend services
- Build React frontend applications
- Utilize Pub/Sub for messaging
- Version control with Github
- Automate with Github Actions
- Track projects with Jira
- Document processes in Confluence
- Participate in agile team meetings
- Write clean, efficient code
- Establish best coding practices
Work Experience
- approx. 1 - 4 years
Education
- Vocational certificationOR
- Bachelor's degree
Languages
- English – Fluent
- German – Fluent
Tools & Technologies
- Python
- PySpark
- SQL
- Airflow
- Terraform
- GCP
Benefits
Flexible Working
- Remote work option
- Flexible hybrid work concept
- Flexible working hours
Other Benefits
- Office in Leipzig
Childcare
- Childcare support
Additional Allowances
- Meal allowance
Public Transport Subsidies
- Job ticket
Team Events
- Sports and leisure events
Learning & Development
- Extensive training opportunities
Informal Culture
- Dynamic and international team
Job Security
- Long-term perspective
Mentorship & Coaching
- Bespoke onboarding plan
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Deutsche Börse
Industry
FinancialServices
Description
The company is a leading clearing house for energy and commodity products in Europe, ensuring secure transaction settlements.
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