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(Senior) Data Engineer Data & AI(m/w/x)
Designing end-to-end data and AI solutions for digital transformation in the European energy sector. Extensive data engineering, consulting, and Azure experience required. 30 days vacation, Christmas/New Year's Eve off, sabbatical.
Requirements
- Extensive data engineering and consulting experience
- Experience building end-to-end data solutions
- Software development best practices proficiency
- Expertise in Kubernetes and containerization
- Experience in Azure and secure architecture
- Experience with Azure Data Factory and Databricks
- Excellent communication and stakeholder engagement skills
- Fluency in English and German
Tasks
- Collaborate with cross-functional teams to build scalable data solutions
- Manage the end-to-end project lifecycle from scope to delivery
- Communicate technical insights effectively to diverse stakeholders
- Foster an innovative environment and mentor junior colleagues
- Propose and advocate for new ideas and innovative approaches
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
- German – Business Fluent
Tools & Technologies
- Kubernetes
- Airflow
- Kafka
- Helm Charts
- Microsoft Azure
- Infrastructure-as-a-Code
- Azure Data Factory
- Databricks
- Terraform
- Python
- Spark
- Version control
- CI/CD
Benefits
Learning & Development
- Individual training
More Vacation Days
- 30 days paid vacation
- Christmas and New Year's Eve off
- Salary exchange for vacation
Workation & Sabbatical
- Sabbatical
- 20-day European workation
Flexible Working
- Hybrid work
Healthcare & Fitness
- Company-sponsored health membership
Company Vehicle
- Car and bike leasing
Public Transport Subsidies
- Subsidised Deutschland-Ticket
Retirement Plans
- Company pension scheme
Other Benefits
- Insurance package
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(Senior) Data Engineer Data & AI(m/w/x)
Designing end-to-end data and AI solutions for digital transformation in the European energy sector. Extensive data engineering, consulting, and Azure experience required. 30 days vacation, Christmas/New Year's Eve off, sabbatical.
Requirements
- Extensive data engineering and consulting experience
- Experience building end-to-end data solutions
- Software development best practices proficiency
- Expertise in Kubernetes and containerization
- Experience in Azure and secure architecture
- Experience with Azure Data Factory and Databricks
- Excellent communication and stakeholder engagement skills
- Fluency in English and German
Tasks
- Collaborate with cross-functional teams to build scalable data solutions
- Manage the end-to-end project lifecycle from scope to delivery
- Communicate technical insights effectively to diverse stakeholders
- Foster an innovative environment and mentor junior colleagues
- Propose and advocate for new ideas and innovative approaches
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
- German – Business Fluent
Tools & Technologies
- Kubernetes
- Airflow
- Kafka
- Helm Charts
- Microsoft Azure
- Infrastructure-as-a-Code
- Azure Data Factory
- Databricks
- Terraform
- Python
- Spark
- Version control
- CI/CD
Benefits
Learning & Development
- Individual training
More Vacation Days
- 30 days paid vacation
- Christmas and New Year's Eve off
- Salary exchange for vacation
Workation & Sabbatical
- Sabbatical
- 20-day European workation
Flexible Working
- Hybrid work
Healthcare & Fitness
- Company-sponsored health membership
Company Vehicle
- Car and bike leasing
Public Transport Subsidies
- Subsidised Deutschland-Ticket
Retirement Plans
- Company pension scheme
Other Benefits
- Insurance package
About the Company
E.ON Digital Technology GmbH
Industry
EnergyAutomation
Description
The company plays a key role in shaping the energy transition by leading digital transformation across Europe.
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