Data Engineering & Data Modeling

• Design, develop, and maintain scalable data models in Snowflake
• Build and optimize complex SQL transformations using dbt
• Develop robust ELT pipelines to ingest, harmonize, and enrich SAP procurement data
• Create reusable semantic and reporting layers for analytics and AI consumption
• Implement data quality frameworks, validation rules, and reconciliation processes
• Translate business requirements into efficient and scalable technical solutions

SAP Procurement Data Expertise

• Analyze and model procurement processes based on SAP MM data structures
• Develop extraction and transformation logic across key SAP procurement entities
• Ensure accurate interpretation of sourcing, purchasing, contract, vendor, material, and purchasing organization data
• Support migration and harmonization initiatives across SAP ERP and S/4HANA landscapes
• Collaborate closely with procurement subject matter experts to ensure technical and functional data integrity

SQL Development & Performance Optimization

• Develop complex SQL queries, procedures, and transformation logic
• Analyze execution plans and resolve performance bottlenecks
• Optimize data models, joins, clustering strategies, and Snowflake warehouse utilization
• Improve runtime performance of data pipelines and reporting workloads
• Establish and promote best practices for scalable Snowflake development

Data Delivery for AI Solutions

• Deliver high-quality, AI-ready datasets for backend AI services
• Define interfaces and data contracts with AI Backend Engineers
• Support feature engineering and data preparation activities
• Ensure completeness, consistency, and traceability of datasets used by AI applications
• Collaborate on retrieval, enrichment, and contextual data services enabling Agentic AI solutions

Data Governance & Quality

• Implement monitoring solutions and proactive quality controls
• Design validation frameworks for master and transactional data
• Support auditability, data lineage, and governance requirements
• Ensure compliance with internal security, governance, and data management standards
• Document data models, transformation logic, and business rules

Collaboration & Technical Leadership

• Work closely with AI Backend Engineers, Procurement Business Analysts, Product Owners, and Cloud Engineers
• Provide technical guidance and mentoring to junior engineers
• Participate in architecture reviews and solution design discussions
• Drive engineering excellence and continuous improvement initiatives
• Support incident resolution, root cause analysis, and operational excellence activities

Education

• Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, Mathematics, Engineering, or a related field

Professional Experience

• 8+ years of experience in Data Engineering, Data Warehousing, or related disciplines
• Proven experience working with enterprise-scale procurement, supply chain, or ERP data
• Experience supporting business-critical analytics and data platforms

Technical Skills

Data Platforms & Engineering

• Expert-level experience with Snowflake
• Strong hands-on experience with dbt
• Expert-level SQL development skills
• Deep understanding of Data Warehouse architecture and dimensional modeling
• Experience with ELT/ETL frameworks and modern data engineering practices

SAP Procurement Knowledge

Strong understanding of SAP MM processes and data structures, including:

• Purchase Requisitions
• Purchase Orders
• Contracts
• Purchase Info Records (PIRs)
• Source Lists
• Quota Arrangements
• Materials
• Vendors
• Pricing Conditions
• Purchasing Organizations

Performance Engineering

• SQL performance tuning
• Query optimization
• Data model optimization
• Workload analysis
• Snowflake warehouse performance management
• Cost optimization

Data Quality & Governance

• Data validation frameworks
• Reconciliation processes
• Metadata management
• Data lineage
• Root cause analysis

Preferred Qualifications

• Python
• Snowpark
• Git / GitLab
• CI/CD pipelines
• REST APIs
• AWS or Azure cloud platforms
• Power BI, Qlik, or similar analytics and reporting tools

Personal Skills

• Strong analytical and problem-solving mindset
• Ability to work independently and challenge existing designs constructively
• Structured, proactive, and solution-oriented approach
• Excellent communication and stakeholder management skills
• Passion for modern data technologies and continuous improvement
• Comfortable working in international, cross-functional teams

Language Skills

• Fluent English (mandatory)
• German skills are considered an advantage