Dein persönlicher KI-Karriere-Agent
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Abgeschlossene BerufsausbildungODER
- Bachelor-Abschluss
Sprachen
- Englisch – fließend
- Deutsch – fließend
Tools & Technologien
- Python
- PySpark
- SQL
- Airflow
- Terraform
- GCP
Benefits
Flexibles Arbeiten
- Remote work option
- Flexible hybrid work concept
- Flexible working hours
Sonstige Vorteile
- Office in Leipzig
Kinderbetreuung
- Childcare support
Sonstige Zulagen
- Meal allowance
Öffi Tickets
- Job ticket
Team Events & Ausflüge
- Sports and leisure events
Weiterbildungsangebote
- Extensive training opportunities
Lockere Unternehmenskultur
- Dynamic and international team
Sicherer Arbeitsplatz
- Long-term perspective
Mentoring & 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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Abgeschlossene BerufsausbildungODER
- Bachelor-Abschluss
Sprachen
- Englisch – fließend
- Deutsch – fließend
Tools & Technologien
- Python
- PySpark
- SQL
- Airflow
- Terraform
- GCP
Benefits
Flexibles Arbeiten
- Remote work option
- Flexible hybrid work concept
- Flexible working hours
Sonstige Vorteile
- Office in Leipzig
Kinderbetreuung
- Childcare support
Sonstige Zulagen
- Meal allowance
Öffi Tickets
- Job ticket
Team Events & Ausflüge
- Sports and leisure events
Weiterbildungsangebote
- Extensive training opportunities
Lockere Unternehmenskultur
- Dynamic and international team
Sicherer Arbeitsplatz
- Long-term perspective
Mentoring & Coaching
- Bespoke onboarding plan
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Deutsche Börse
Branche
FinancialServices
Beschreibung
The company is a leading clearing house for energy and commodity products in Europe, ensuring secure transaction settlements.
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