
Data Engineer
Ruf Lebensmittelwerk KG
full-time
Posted on:
Location Type: Office
Location: Quakenbrück • Germany
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About the role
- Further development of our data and reporting platform based on Microsoft Fabric & Power BI
- Design and operation of data pipelines (ELT/ETL) for data integration and processing
- Implementation of a medallion architecture (Bronze / Silver / Gold) in a lakehouse/warehouse environment
- Connecting and integrating data from various source systems, e.g., SQL Server, REST APIs and other interfaces
- Technical support of the platform: capacity monitoring, error analysis, performance optimization
- Provision of clean, documented data products for Power BI (e.g., tables, views)
Requirements
- Degree in (business) computer science or a comparable qualification — ideally with relevant professional experience in data and BI engineering
- Practical experience with a common cloud ETL tool — initial experience with tools such as MS Fabric, Snowflake or similar is an advantage
- Strong knowledge of SQL and/or Python for data processing and analysis
- Ability to explain complex topics clearly and tailored to the audience
- Analytical and innovative mindset, with an independent and goal-oriented working style
- Team player with strong communication skills
- Very good German language skills, written and spoken; English skills are a plus
Benefits
- 30 days of vacation and company closed on December 24 and 31
- 38-hour workweek with a flexible working time account
- An attractive compensation package: annual special payments, company pension scheme, capital-forming payments (vermögenswirksame Leistungen), employee discounts and company bicycle leasing
- Numerous discounts via the Corporate Benefits platform
- Flat hierarchies and short decision-making paths
- Modern IT and OT system landscape with forward-looking projects
- Opportunities for further training, especially in BI, Cloud, Security and OT
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data integrationdata processingSQLPythonETLELTmedallion architecturedata analysisperformance optimizationcapacity monitoring
Soft Skills
analytical mindsetinnovative mindsetindependent working stylegoal-oriented working styleteam playerstrong communication skillsability to explain complex topics
Certifications
degree in computer sciencecomparable qualification