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. 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 D