{"id":56300,"title":"Senior Data Engineer (m/w/d)","company":"Bertrandt Services GmbH","city":"Erlangen","region":"Bayern","location":"91052 Erlangen","work_model":"unknown","employment_type":"full_time","employment":["full_time"],"roles":["data_engineering"],"visa":"not_mentioned","relocation":"not_mentioned","posted_at":"2026-10-29T00:00:00+00:00","tools":["Snowflake","SQL","dbt","ETL","SAP","Python","Git","GitLab CI"],"seniority":"senior","years_experience_min":8,"german_requirement":"preferred","german_level":"unspecified","english_requirement":"required","english_level":"unspecified","team_language":"unknown","confidence":0.7,"method":"rules","language_badge":"German a plus","language_evidence":"nt 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 Ku","requirements_snippet":null,"url":"https://www.arbeitsagentur.de/jobsuche/jobdetail/12288-4983624658-S","source":"bundesagentur","agency":"recruiter","description_text":"Wir sind Bertrandt. Ein eigenständiger und internationaler\nEngineering Dienstleister mit langjähriger Expertise. Mit\nbranchenübergreifendem Know-how und einem ganzheitlichen System- und\nProduktverständnis schaffen wir technologische Lösungen entlang der\ngesamten Wertschöpfungskette. Wir beschäftigen uns mit den\nTrendthemen Digitalisierung, E-Mobilität und Autonome Systeme\nhauptsächlich für die Branchen Automotive, Luftfahrt, Defence und\nMaschinenbau und ermöglichen hier konsequent die Entstehung\npassgenauer Lösungen. Unser Ziel: den technologischen Fortschritt\nbeschleunigen und einen relevanten Beitrag zu einer nachhaltigen\nZukunft leisten. Daran arbeiten wir jeden Tag – mit rund 12.000\nMitarbeiterinnen und Mitarbeitern an über 50 Standorten weltweit. Was\nSie erwartet: Data Engineering & Data Modeling Design, develop, and\nmaintain scalable data models in Snowflake Build and optimize complex\nSQL transformations using dbt Develop robust ELT pipelines to ingest,\nharmonize, and enrich SAP procurement data Create reusable semantic\nand reporting layers for analytics and AI consumption Implement data\nquality frameworks, validation rules, and reconciliation processes\nTranslate business requirements into efficient and scalable technical\nsolutions SAP Procurement Data Expertise Analyze and model procurement\nprocesses based on SAP MM data structures Develop extraction and\ntransformation logic across key SAP procurement entities Ensure\naccurate interpretation of sourcing, purchasing, contract, vendor,\nmaterial, and purchasing organization data Support migration and\nharmonization initiatives across SAP ERP and S/4HANA landscapes\nCollaborate closely with procurement subject matter experts to ensure\ntechnical and functional data integrity SQL Development & Performance\nOptimization Develop complex SQL queries, procedures, and\ntransformation logic Analyze execution plans and resolve performance\nbottlenecks Optimize data models, joins, clustering strategies, and\nSnowflake warehouse utilization Improve runtime performance of data\npipelines and reporting workloads Establish and promote best practices\nfor scalable Snowflake development Data Delivery for AI Solutions\nDeliver high-quality, AI-ready datasets for backend AI services Define\ninterfaces and data contracts with AI Backend Engineers Support\nfeature engineering and data preparation activities Ensure\ncompleteness, consistency, and traceability of datasets used by AI\napplications Collaborate on retrieval, enrichment, and contextual data\nservices enabling Agentic AI solutions Data Governance & Quality\nImplement monitoring solutions and proactive quality controls Design\nvalidation frameworks for master and transactional data Support\nauditability, data lineage, and governance requirements Ensure\ncompliance with internal security, governance, and data management\nstandards Document data models, transformation logic, and business\nrules Collaboration & Technical Leadership Work closely with AI\nBackend Engineers, Procurement Business Analysts, Product Owners, and\nCloud Engineers Provide technical guidance and mentoring to junior\nengineers Participate in architecture reviews and solution design\ndiscussions Drive engineering excellence and continuous improvement\ninitiatives Support incident resolution, root cause analysis, and\noperational excellence activities Was Sie mitbringen: Education\nBachelor's or Master's degree in Computer Science, Data Engineering,\nInformation Systems, Mathematics, Engineering, or a related field\nProfessional Experience 8+ years of experience in Data Engineering,\nData Warehousing, or related disciplines Proven experience working\nwith enterprise-scale procurement, supply chain, or ERP data\nExperience supporting business-critical analytics and data platforms\nTechnical Skills Data Platforms & Engineering Expert-level experience\nwith Snowflake Strong hands-on experience with dbt Expert-level SQL\ndevelopment skills Deep understanding of Data Warehouse architecture\nand dimensional modeling Experience with ELT/ETL frameworks and modern\ndata engineering practices SAP Procurement Knowledge Strong\nunderstanding of SAP MM processes and data structures, including:\nPurchase Requisitions Purchase Orders Contracts Purchase Info Records\n(PIRs) Source Lists Quota Arrangements Materials Vendors Pricing\nConditions Purchasing Organizations Performance Engineering SQL\nperformance tuning Query optimization Data model optimization Workload\nanalysis Snowflake warehouse performance management Cost optimization\nData Quality & Governance Data validation frameworks Reconciliation\nprocesses Metadata management Data lineage Root cause analysis\nPreferred Qualifications Python Snowpark Git / GitLab CI/CD pipelines\nREST APIs AWS or Azure cloud platforms Power BI, Qlik, or similar\nanalytics and reporting tools Personal Skills Strong analytical and\nproblem-solving mindset Ability to work independently and challenge\nexisting designs constructively Structured, proactive, and\nsolution-oriented approach Excellent communication and stakeholder\nmanagement skills Passion for modern data technologies and continuous\nimprovement Comfortable working in international, cross-functional\nteams Language Skills Fluent English (mandatory) German skills are\nconsidered an advantage Im Rahmen der Arbeitnehmerüberlassung suchen\nwir für einen namhaften Kunden einen erfahrenen Senior Data Engineer\n(m/w/d). Sie entwickeln skalierbare Datenmodelle und ELT-Pipelines in\nSnowflake, optimieren komplexe SQL- und dbt-Transformationen und\nstellen hochwertige Procurement-Daten für Analytics- und\nKI-Anwendungen bereit. Dabei arbeiten Sie eng mit Data-, AI- und\nProcurement-Experten zusammen und treiben die Weiterentwicklung\nmoderner datengetriebener Lösungen aktiv voran. Was Sie mitbringen:\nEducation Bachelor's or Master's degree in Computer Science, Data\nEngineering, Information Systems, Mathematics, Engineering, or a\nrelated field Professional Experience 8+ years of experience in D","responsibilities_text":null,"requirements_text":null,"status":"open","duplicate_of":null,"first_seen":"2026-11-02T16:04:29.372226+00:00","responsibilities_summary":null,"requirements_summary":null,"all_tools":["Snowflake","SQL","dbt","ETL","SAP","Python","Git","GitLab CI","GitLab","CI/CD","REST","AWS","Azure","Power BI","Qlik"],"posting_language":"mixed","evidence":[{"language":"english","requirement":"required","quote":"nd 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","source":"rules"},{"language":"german","requirement":"preferred","quote":"nt 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 Ku","source":"rules"}],"years_experience_max":null,"mobility_evidence":[],"model_version":"rules-8","english_badge":"English required","company_id":null}