Exxeta
Data Engineer Celonis (m/w/x)
Vollzeitnur vor OrtBerufserfahren
Berlin, Hamburg, München, Frankfurt am Main, Leipzig, Stuttgart, Essen, Dresden, Nürnberg, Mannheim
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Designing scalable data models in Snowflake and optimizing SQL transformations with dbt for SAP procurement data. Enterprise-scale procurement data experience required. Corporate benefits, internal health management, and job bike program.
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Anforderungen
- Bachelor's or Master's degree in relevant field
- Proven experience with enterprise procurement/supply chain/ERP data
- Experience supporting business-critical analytics/data platforms
- Expert-level Snowflake experience
- Strong hands-on dbt experience
- Expert-level SQL development skills
- Deep understanding of Data Warehouse architecture/dimensional modeling
- Experience with ELT/ETL frameworks and modern data engineering practices
- Strong understanding of SAP MM processes and data structures
- SQL performance tuning
- Query optimization
- Data model optimization
- Workload analysis
- Snowflake warehouse performance management
- Data validation frameworks
- Reconciliation processes
- Metadata management
- Data lineage
- Root cause analysis
- Python
- Snowpark
- Git / GitLab
- CI/CD pipelines
- REST APIs
- AWS or Azure cloud platforms
- Power BI, Qlik, or similar analytics and reporting tools
- Strong analytical and problem-solving mindset
- Ability to work independently and challenge 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
- Fluent English
- German skills advantageous
Aufgaben
- 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
- 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
- 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
- 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
- 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
- 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
Berufserfahrung
8 Jahre
Ausbildung
Master-Abschluss
Sprachen
Englisch – fließend
Deutsch – Grundkenntnisse
Tools & Technologien
SnowflakedbtSQLSAP MMPythonSnowparkGitGitLabCI/CDREST APIsAWSAzurePower BIQlik
Benefits
Mitarbeiterrabatte
- Corporate Benefits
Gesundheits- & Fitnessangebote
- Internal health management
Sicherer Arbeitsplatz
- Permanent employment contract
Weiterbildungsangebote
- Training opportunities
Sonstige Vorteile
- JobRad
Team Events & Ausflüge
- Employee events
Betriebliche Altersvorsorge
- Company pension and BU insurance
Parkplatz & Pendelvorteile
- Parking spaces
Gratis oder Vergünstigte Mahlzeiten
- Company canteen
Von Nejo automatisch aufbereitet
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