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Experienced Data Engineer(m/w/x)
Developing, operating, and automating ETL processes for a DIY retail chain. Strong working knowledge of GCP data platforms required. 30 days paid vacation, flexible hours and work areas.
Requirements
- Studies in MINT area or comparable field
- At least three years of relevant professional experience as Data Engineer
- Very good knowledge of Python or Java
- Broad expertise in SQL/NoSQL systems
- Strong working knowledge of GCP data platforms
- Proactive personality with strong focus on agile teamwork
- Very good knowledge of English
- Ideally good German skills
Tasks
- Implement data mappings
- Design data flows in an agile environment
- Develop, operate, and monitor ETL processes
- Automate and accelerate data flows
- Enhance data and analytics platforms
- Develop data warehouse architecture
- Coach less experienced colleagues
- Conduct code reviews
Work Experience
- 3 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- Python
- Java
- SQL
- NoSQL
- GCP
- BigQuery
- Pub/Sub
- Dataflow
- Datastream
- Cloud SQL
- Cloud Storage
Benefits
More Vacation Days
- 30 days paid vacation
- Up to 12 additional unpaid vacation days
Flexible Working
- Flexible working hours
- Flexible working areas
Modern Equipment
- Modern equipment
Free or Subsidized Food
- BAUHAUS restaurant and bistro
Childcare
- BAUHAUS day care center
Job Security
- Permanent employment contract
Competitive Pay
- Attractive remuneration
Corporate Discounts
- Shopping discounts
- Corporate benefits
Retirement Plans
- Company pension plan
Team Events
- Regular team events
Not a perfect match?
- BAUHAUSFull-time/Part-timeWith HomeofficeExperiencedMannheim
- BAUHAUS
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Experienced Data Engineer(m/w/x)
Developing, operating, and automating ETL processes for a DIY retail chain. Strong working knowledge of GCP data platforms required. 30 days paid vacation, flexible hours and work areas.
Requirements
- Studies in MINT area or comparable field
- At least three years of relevant professional experience as Data Engineer
- Very good knowledge of Python or Java
- Broad expertise in SQL/NoSQL systems
- Strong working knowledge of GCP data platforms
- Proactive personality with strong focus on agile teamwork
- Very good knowledge of English
- Ideally good German skills
Tasks
- Implement data mappings
- Design data flows in an agile environment
- Develop, operate, and monitor ETL processes
- Automate and accelerate data flows
- Enhance data and analytics platforms
- Develop data warehouse architecture
- Coach less experienced colleagues
- Conduct code reviews
Work Experience
- 3 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- Python
- Java
- SQL
- NoSQL
- GCP
- BigQuery
- Pub/Sub
- Dataflow
- Datastream
- Cloud SQL
- Cloud Storage
Benefits
More Vacation Days
- 30 days paid vacation
- Up to 12 additional unpaid vacation days
Flexible Working
- Flexible working hours
- Flexible working areas
Modern Equipment
- Modern equipment
Free or Subsidized Food
- BAUHAUS restaurant and bistro
Childcare
- BAUHAUS day care center
Job Security
- Permanent employment contract
Competitive Pay
- Attractive remuneration
Corporate Discounts
- Shopping discounts
- Corporate benefits
Retirement Plans
- Company pension plan
Team Events
- Regular team events
About the Company
BAUHAUS
Industry
Retail
Description
Das Unternehmen BAUHAUS bietet eine Vielzahl von Produkten für Heimwerker-Projekte und legt Wert auf Respekt und Zusammenhalt im Team.
Not a perfect match?
- BAUHAUS
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