Senior Data Engineer (m/w/d)

Wir sind Bertrandt.

Ein eigenständiger und internationaler Engineering Dienstleister mit langjähriger Expertise. Mit branchenübergreifendem Know-how und einem ganzheitlichen System- und Produktverständnis schaffen wir technologische Lösungen entlang der gesamten Wertschöpfungskette. Wir beschäftigen uns mit den Trendthemen Digitalisierung, E-Mobilität und Autonome Systeme hauptsächlich für die Branchen Automotive, Luftfahrt, Defence und Maschinenbau und ermöglichen hier konsequent die Entstehung passgenauer Lösungen. Unser Ziel: den technologischen Fortschritt beschleunigen und einen relevanten Beitrag zu einer nachhaltigen Zukunft leisten. Daran arbeiten wir jeden Tag – mit rund 12.000 Mitarbeiterinnen und Mitarbeitern an über 50 Standorten weltweit.

Was Sie erwartet:

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

Was Sie mitbringen:

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

Im Rahmen der Arbeitnehmerüberlassung suchen wir für einen namhaften Kunden einen erfahrenen Senior Data Engineer (m/w/d). Sie entwickeln skalierbare Datenmodelle und ELT-Pipelines in Snowflake, optimieren komplexe SQL- und dbt-Transformationen und stellen hochwertige Procurement-Daten für Analytics- und KI-Anwendungen bereit. Dabei arbeiten Sie eng mit Data-, AI- und Procurement-Experten zusammen und treiben die Weiterentwicklung moderner datengetriebener Lösungen aktiv voran.

Bertrandt legt großen Wert auf Gleichbehandlung und Chancengleichheit. Unsere Recruiting-Entscheidungen basieren auf den Erfahrungen und Fähigkeiten der Bewerber*innen. Schwerbehinderte Menschen bzw. gleichgestellte Menschen im Sinne des SGB IX sind herzlich willkommen und werden bei gleicher Eignung bevorzugt eingestellt.

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