Job
- Level
- Experienced
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Cologne
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop data architectures and ETL processes, integrate large datasets from various sources, and ensure data quality. You will optimize data pipelines and collaborate closely with business units and Data Scientists.
Job Technologies
Your role in the team
- Development and optimization of data architectures, data pipelines, and ETL processes
- Building and maintaining databases, data lakes, and cloud platforms
- Integration and transformation of large volumes of data from various sources
- Close collaboration with data scientists, software developers, and business units
- Ensuring data quality, security, and availability
- Support in the selection and implementation of new technologies and tools
- Documentation and continuous improvement of existing data processes
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Our expectations of you
Education
- Completed degree in Computer Science, Data Engineering, Mathematics, or Natural Sciences, or an equivalent qualification.
Qualifications
- Knowledge of programming languages such as Python, Java, or Scala
- Excellent German and English skills
- Analytical thinking and a structured way of working
Experience
- Experience with SQL or NoSQL database systems as well as cloud technologies such as AWS, Azure, or GCP.
- Ideally, experience with Big Data frameworks such as Spark, Kafka, or Hadoop.
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Benefits
More net
Health, Fitness & Fun
Work-Life-Integration
Topics that you deal with on the job
Job Locations
This is your employer
FERCHAU Engineering GmbH
Description
- Company Size
- 250+ Employees
- Company Type
- Recruiting Agency
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Recruitment Agency
Data Engineer
- Location
- Cologne
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
