Job
- Level
- Experienced
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Dusseldorf, Munich, Frankfurt, Vallendar, Bonn
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop ETL processes and data integration interfaces, transform raw data into analyzable business data, and handle large datasets using Apache stacks and cloud technologies.
Job Technologies
Your role in the team
- Development and implementation of ETL pipelines and data integration interfaces, and their deployment in Continuous Delivery pipelines (CI/CD, Docker, Kubernetes, etc.)
- High-performance transformation of raw data into the business perspective
- Provisioning and analysis of large data sets using Apache stacks such as Spark and cloud technologies (AWS, MS Azure, GCP)
- Technological advancement of the CTcon Analytics portfolio
- Participation in cross-functional tasks
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Our expectations of you
Education
- At least a completed Bachelor's degree in Computer Science or a comparable field
Qualifications
- Excellent German and English skills
- Excellent programming skills in Python or R
- Proficient in DevOps technologies (Docker, Git, Bash, CI/CD, etc.)
- High data affinity
Experience
- Practical experience in implementing data pipelines
- Initial experience in Big Data Analytics (Spark, etc.) and Cloud Technologies (AWS, MS Azure, GCP)
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What we offer
- Mobile Working & Home Office
- Further Education & Coaching
- Company car and/or business bike
- Good transport connections
- Events for employees
- Beverage and Snack Offer
- Regular office lunches
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Benefits
Work-Life-Integration
Topics You Will Work On
Job Locations
About Your Employer
CTcon GmbH
CTcon GmbH provides scientifically based consulting for companies and institutions to optimize their processes and develop tailored solutions.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Consulting
Data Engineer
- Location
- Dusseldorf, Munich, Frankfurt, Vallendar, Bonn
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
