Job
- Level
- Junior
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Hamburg
- Working Model
- Onsite
Job Summary
In this role, you will develop scalable data pipelines for ERP data and unstructured documents to create high-quality data products for BI and AI applications.
Job Technologies
Your role in the team
- How to connect data & build production pipelines (ETL/ELT) (not just notebook playgrounds)
- How to correctly understand ERP data professionally and translate it into data models
- How to make unstructured documents usable for AI applications (basic pipeline components)
- How to organize data quality and documentation to ensure Business Users' trust
- How Unstructured Data Can Be Made AI-Ready
- You are building a scalable data repository with us step by step (Lakehouse/DWH principles) so that business units, BI, and AI applications can access consistent, traceable, and high-quality data.
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Our expectations of you
Education
- Do you want to start a job after your studies that truly has substance? With us, you build the foundation on which AI and analytics reliably operate: you integrate data from ERP (Microsoft Dynamics 365 Business Central), adjacent systems, and unstructured corporate data in such a way that clean, traceable data products are created.
- Completed degree (Computer Science, Business Informatics, Data/Analytics, Mathematics or similar) or comparable practical projects
Qualifications
- Solid foundations in SQL (Joins, Aggregations)
- Interest in data pipelines/ETL principles and clean data models
- Structured working style, eagerness to learn, team communication
- Mentoring + structured onboarding (not "throwing into the deep end without a life jacket")
- Further Education/Certifications (e.g., Fabric/Data Engineering Path)
- Modern Microsoft ecosystem + real use cases from SME/ERP processes
- Flexible working models according to your policy
Experience
- First experience with Python
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What we offer
- Comprehensive onboarding
- Modern Workplace
- Cool team
- Company Fitness & E-Bike
- 38-hour week & flexible working time models
- Regular company events
- Fruit & Coffee Flat Rate
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Benefits
Work-Life-Integration
Topics You Will Work On
Job Locations
About Your Employer
Ctm Computer Technik Marketing
Wir analysieren, planen und realisieren ERP Lösungen auf Basis von Microsoft Dynamics NAV und Microsoft Dynamics 365 Business Central. Rund 40 Spezialisten arbeiten bei uns an unterschiedlichen IT-Projekten und ERP-Lösungen, um die besonderen GeschäftsÂanforderungen des Mittelstandes exakt abzubilden.
Description
- Company Size
- 1-49 Employees
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Data Engineer - Data Platform & AI Readiness
- Location
- Hamburg
- Working Model
- Onsite
- Diversity
- Open for all genders
