Job
- Level
- Experienced
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Hamburg
- Working Model
- Hybrid
Job Technologies
Your role in the team
- Responsibility for the development, construction and maintenance of the data architecture for collecting, processing and providing relevant data
- New development of an analytics platform based on Databricks in the MS Azure Cloud
- Design and implementation of data pipelines (with Databricks, Spark or Azure Data Factory)
- Optimize data processing and storage for maximum performance and scalability
- Monitoring the data pipelines and ensuring data quality criteria
- Active participation in the development and implementation of new topics and technologies
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Our expectations of you
Education
- Successfully completed studies in (business) informatics or comparable training
Qualifications
- Good knowledge of databases and data modeling (3rd NF, Data Vault, Star Schema)
- good written and spoken English knowledge
- Enjoyment of responsible and independent work as well as strong communication and teamwork skills
Experience
- Sound knowledge of developing ETL pipelines, ideally using SQL, Python or Spark; Experience in Terraform and Git is desirable
- Initial experience with cloud services such as AWS, Azure or Google as well as their big data technologies
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Benefits
Food & Drink
Job Locations
Location Hamburg
Germany
This is your employer
Jungheinrich AG
At Jungheinrich, we are world-leaders in Intralogistics solutions. For over 60 years, customer satisfaction has been our top priority. We offer tailored solutions that are precisely aligned with your needs and wants. Benefit from our experience and expertise to optimize your logistics.
Description
- Company Size
- 250+ Employees
- Founding year
- 1953
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Logistics, Transportation, Engineering Industry
Data Engineer
- Location
- Hamburg
- Working Model
- Hybrid
