Senior Data Modelling Architect
Henkel AG & Co. KGaA
Düsseldorf, Germany
2 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English, German Experience level
SeniorJob location
Düsseldorf, Germany
Tech stack
Agile Methodologies
Information Engineering
Data Governance
Power BI
SAP NetWeaver Business Warehouse
SAP HANA
Data Strategy
Information Technology
Data Management
Data Pipelines
Databricks
Job description
- Generate value from data by increasing, integrating, enriching, and distributing Henkel's data-asset
- Design, develop, and operate scalable and robust data pipelines using state-of-the-art data engineering practices
- Develop and operate scalable, agile, quality-first data platforms and enable sustainable data science deployment solutions
- Advancs the team with your expertise and extend and deepen your knowledge by strong collaboration within the team
- Actively participate in cross-functional teams using agile methods to deliver high quality data products at a fast pace
- Act as business partner to advice and consult business to use data efficiently, * Flexible work scheme with flexible hours, hybrid and work from anywhere policies
- Diverse national and international growth opportunities
- Globally wellbeing standards with health and preventive care programs
- Gender-neutral parental leave for a minimum of 8 weeks
- Employee Share Plan with voluntary investment and Henkel matching shares
- Company Pension Plan 100% financed by Henkel
- MEGA Preventive Health Insurance
- CareFlex Supplementary Care Insurance x
- Mobility offer: My Henkel Bike and Jobticket
Requirements
Do you have experience in SAP BW 4HANA?, Do you have a Master's degree?, * Master's degree in computer science or a related field
- 6+ years of experience designing and implementing analytical solutions; with 3+ years in an architect role
- Hands-on experience with modern data platforms (Azure Databricks, Power BI, MS Fabric. SAP BW/Datasphere/BDC is a plus); strong in data modeling, data governance, and domain-driven design
- Proven ability in data strategy, decentralized data architectures (e.g., Data Mesh), and excellent communication skills
- Fluent in English; German language skill is a plus