Garching bei Münchensenior

Role description

We help the world run better
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.

What you’ll build

In this role, you design, build, and operate scalable data pipelines and platforms that enable analytics, reporting, and advanced data driven use cases embedded directly within customer environments and fast-moving delivery teams. You translate business and analytical requirements into robust, maintainable data solutions and ensure that data is reliable, secure, and accessible across the organization. You work closely with customers and combine cloud native software engineering, enterprise data engineering, and production grade AI capabilities to solve complex real world business problems at speed.

You are accountable for the technical quality, scalability, and business impact of delivered solutions within customer engagements. You operate at the intersection of engineering, data, AI, and customer delivery, collaborating closely with product, architecture, ML, and customer teams to accelerate adoption of AI driven enterprise solutions while maintaining alignment with SAP engineering and security standards.

In This Role, You Will

Design, develop, and maintain scalable ETL/ELT data pipelines and data models that support analytics, reporting, and AI use cases.
Integrate data from multiple internal and external sources, ensuring data quality, consistency, and reliability across the data landscape.
Build and optimize data processing workflows using modern data platforms and cloud based technologies.
Ensure data solutions meet enterprise requirements for performance, security, governance, and compliance.
Embed directly into customer projects and fast moving cross functional teams to rapidly understand business processes, technical landscapes, and operational challenges.
Collaborate with data scientists, analysts, and product teams to translate analytical requirements into efficient data engineering designs.
Monitor, troubleshoot, and improve data pipelines and platforms to ensure operational stability and continuous improvement.
Capture reusable patterns, accelerators, and product improvement opportunities from customer engagements, contributing back to engineering standards, frameworks, and best practices across teams.
Contribute to engineering standards, best practices, and reusable components to increase efficiency and maintainability
Develop and manage batch and real-time data pipelines leveraging workflow orchestration tools (e.g., Airflow) and streaming technologies such as Kafka to ensure reliable, efficient, and high-performance data processing.
Ensure data quality, governance, compliance, and PII protection while implementing CI/CD pipelines and applying best practices with Docker and Git within data engineering workflows.

What you bring

6+ years experience in data engineering, including the design and implementation of scalable data pipelines and data models.
Ability to operate effectively in an Agentic AI context, contributing to the design, application, and responsible use of AI agents within complex business processes.
Proficiency in SQL and at least one programming language commonly used in data engineering (e.g. Python).
Relevant experience in designing and building scalable ETL/ELT pipelines, robust data models, and integrated enterprise data systems using modern lakehouse architectures (Parquet, Delta Lake) and platforms such as SAP HANA, Databricks, and big data frameworks (PySpark).
Experience working with modern data platforms and cloud‑based data technologies (e.g. data warehouses, data lakes, distributed processing frameworks).
Solid understanding of data quality, data governance, and data lifecycle management in enterprise environments.
Ability to translate business and analytical needs into robust technical data solutions.
Strong collaboration and communication skills, with the ability to work effectively across technical and non‑technical teams.

Where you belong

You will be part of a growing AI and industry expert team dedicated to serving customers across the region (Americas, Europe, Asia). We are building a collaborative, high-impact environment that brings together deep AI expertise, strong industry knowledge, and regional understanding to help customers innovate, transform, and lead in their markets.
This team thrives on working together to turn complex business challenges into practical, scalable solutions. You will find an environment that values curiosity, ownership, and continuous learning, where new ideas are encouraged and real-world impact matters. This is a place for people who enjoy building something new. You will thrive here if you are customer-centric, motivated by meaningful outcomes, and comfortable navigating ambiguity in a fast-evolving AI landscape.
We work closely with decision-makers, challenge assumptions with data, and give data scientists room to influence strategy—not just produce analysis. We value sharp thinking, business curiosity, and clear communication.

#SAPIndustryAICareers

Bring out your best
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.

We win with inclusion
SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.

SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.

For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.

AI Usage in the Recruitment Process
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.

Please note that any violation of these guidelines may result in disqualification from the hiring process.

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

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Data Engineer

Data Science Expert (Domain Models) - Data Labs (m/f/d)

SAP

Garching bei München

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Role description

The context engine that makes AI enterprise ready.
Anyone can build an AI agent. What makes SAP's agents different is accuracy grounded in the richest enterprise data and process context in the world. As a Data and Applied Scientist at SAP, you'll build the context engine grounded in SAP’s Business ontology: the semantic infrastructure that transforms raw business data into the knowledge layer powering SAP's AI agents and assistants.

The semantic and contextual foundation of SAP's AI. While generic AI agents operate on surface-level patterns, SAP agents are accurate because they understand the real semantics of enterprise business master data, process flows, and domain relationships. You'll build and scale the layer that makes that possible.

Design and maintain enterprise ontologies and semantic models that give AI agents accurate, grounded understanding of SAP and connected business landscapes harmonizing data from SAP, Salesforce, Workday, ServiceNow, MES/IoT systems, and external providers into unified semantic layers.
Build AI capabilities including RAG pipelines, embeddings, vector databases, and enterprise knowledge grounding that make SAP's agents accurate and reliable in production.
Develop AI capabilities including generative AI and LLM-based solutions using enterprise business data, knowledge graphs, business process intelligence, and other structured and unstructured data assets.
Leverage SAP's deep data and process context including SAP data models, metadata structures, and business process semantics across Order-to-Cash, Procure-to-Pay, Record-to-Report, and Plan-to-Produce to ground AI solutions in real enterprise reality.
Work with cloud and data platforms including Databricks, SAP Datasphere, SAP HANA Cloud, AWS, Azure, and GCP to support reliable, scalable AI workflows.
Partner across product, engineering, business, and customer-facing teams to translate ambiguous business challenges into concrete AI solutions from concept through deployment and continuous improvement.
Apply machine learning, deep learning, and statistical modeling to develop and evaluate AI solutions using real-world enterprise datasets.

Required Qualifications

8+ years of experience in knowledge engineering, semantic data systems, applied AI, or data science in industry, research labs, or advanced academic environments.
Master's or PhD in Computer Science, Applied Mathematics, Statistics, Engineering, or a related quantitative field
Hands-on experience designing enterprise ontologies and semantic models; proficiency in at least one graph query language (SPARQL, Cypher, or GQL); understanding of trade-offs between RDF triple stores and property graph databases.
Hands-on experience with modern GenAI systems RAG, embeddings, vector databases, semantic retrieval, and enterprise knowledge grounding.
Strong Python and SQL skills with production-grade development practices; experience with ML libraries such as PyTorch, TensorFlow, or scikit-learn.
Proven track record deploying and operating AI/ML solutions in production including handoff, lifecycle support, and continuous improvement.
Experience with big data infrastructure and cloud environments Databricks or equivalent, plus at least one major cloud (AWS, Azure, or GCP).
Excellent communication and stakeholder management skills, with the ability to work cross-functionally in agile environments.

Preferred Qualifications

Deep working knowledge of SAP data models, metadata structures, and core business processes end-to-end. (SAP knowledge is a strong accelerator)
Hands-on experience with the SAP data and AI platform stack SAP Datasphere, SAP HANA Cloud Knowledge Graph Engine, SAP Business Data Cloud, SAP One Domain Model, SAP Graph API, and SAP Business Accelerator Hub.
Deep expertise across the W3C stack (OWL, RDF/RDFS, SKOS, SHACL) and/or property graph query languages (Cypher, GQL).
Deep expertise in machine learning and deep learning, with experience developing, evaluating, and improving models on real-world datasets.
Experience with agentic AI, reasoning frameworks, planning, orchestration, tool use, or multi-agent architectures.
Experience contributing to reusable AI platforms, foundation model initiatives, or shared AI services adopted across multiple product areas.
Ability to design upper-level and mid-level ontologies aligned with industry standards and apply semantic interoperability frameworks across complex application landscapes.

Where you belong
The Application AI team sits at the foundation layer - We build the LLM systems and intelligent infrastructure that run across SAP's global platforms, which means the work you do here doesn't just influence one product, it sets the direction for how AI operates at enterprise scale. A core part of that challenge is making AI genuinely understand the business not just process text, but reason over richly structured enterprise data through robust data ontologies and semantic knowledge frameworks that give models real context about how SAP's world is organized. This is a team that values engineers who think like owners: people who want to define the architecture, not just implement a spec. You'll work in an environment designed around trust and autonomy, where the expectation is that you move fast, make calls, and drive outcomes without layers of approval slowing you down.

AI skills used in this role:
Agentic AI Day-to-Day Practice, AI Adoption Capability, AI Output Quality Assurance, Context Engineering, AI-Assisted Automation and Prototyping, Learning Agility, Creative Thinking, Complex Problem Solving, Effective Communication, Collaboration, Agentic Orchestration, Data Engineering, Deep Learning, Model Training, Semantic Retrieval
#DLhiring

AI Usage in the Recruitment Process
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.

Please note that any violation of these guidelines may result in disqualification from the hiring process.

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Data Engineer

Senior Data Governance Expert for Microsoft Purview (all genders)

adesso SE

Berlin

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Role description

Wir gehören zu den Top-Adressen in der IT-Welt und fokussieren uns auf die Optimierung der Kerngeschäftsprozesse unserer Kunden. Durch den smarten Einsatz maßgeschneiderter IT-Lösungen unterstützen wir unsere Kunden dabei, das Beste aus ihrem Business und aktuellen Technologien herauszuholen. Unseren Erfolg aber erreichen wir nur durch eins: die Menschen bei adesso! Sie bringen Ideen, fachliches Know how und Technologien zusammen. Gemeinsam programmieren wir (deine) Zukunft bei adesso.

DEINE ROLLE

Data Governance Konzepte: Du entwickelst tragfähige, skalierbare Data-Governance-Konzepte für unsere Unternehmenskunden und überführst fachliche Anforderungen in technische Lösungsdesigns rund um Microsoft Purview.
Microsoft Purview Set-up: Du planst und implementierst Microsoft-Purview-Umgebungen, richtest Data Catalogs, Data Lineage und Zugriffskonzepte ein und stellst den stabilen und sicheren Betrieb sicher.
Data Platform Integration: Du integrierst Microsoft Purview in moderne Datenplattformen auf Basis von Microsoft Fabric und Azure Databricks (inkl. Unity Catalog) und stellst eine durchgängige technische Data Governance über alle Datenquellen hinweg sicher.
Projektverantwortung: Du übernimmst die technische Verantwortung in Data-&-AI-Projekten, koordinierst Projektmitglieder und stimmst dich eng mit Kunden sowie internen Stakeholdern aus Fachbereichen und IT ab.
Ansprechperson für Data Governance: Du fungierst als zentrale Ansprechperson für fachliche und technische Fragen zu Data Governance und berätst Teams zu Best Practices, Prozessen und Standards.
Mentoring und Teamentwicklung: Du unterstützt Kolleginnen und Kollegen als Sparringspartner, gibst dein Wissen aktiv weiter und wirkst an der Weiterentwicklung unseres Data-&-AI-Consulting-Portfolios mit.
Innovation in Datenarchitekturen: Du beobachtest Trends in Datenarchitekturen und Data Governance, bewertest neue Technologien und entwickelst innovative Lösungen für die Datenwelt von morgen.

DEIN PROFIL

Berufserfahrung und Expertise: Du verfügst über mehrjährige Berufserfahrung im Data & AI Consulting oder Software Engineering mit Fokus auf Data Governance sowie moderne Datenplattformen im Microsoft-Ökosystem und hast ein abgeschlossenes Studium der Informatik oder eine vergleichbare Qualifikation.
Technologie-Stack Microsoft Purview & Data Plattformen: Du beherrschst Microsoft Purview, Azure Databricks (inkl. Unity Catalog) und Microsoft Fabric sicher und hast diese Technologien bereits in Kundenprojekten produktiv eingesetzt.
Data-Governance-Methodik: Du kennst die Herausforderungen und Prozesse der Data Governance in Großunternehmen, steuerst Daten- und Compliance-Anforderungen sicher und entwickelst passende Rollen- und Verantwortlichkeitsmodelle.
Projektmanagement und Stakeholder-Management: Du leitest Projekte und Teilprojekte eigenverantwortlich, koordinierst Teams und überzeugst durch hohe Kundenorientierung sowie klare Kommunikation mit Fachbereichen und IT.
Leidenschaft für Daten: Du hast eine ausgeprägte Leidenschaft für Daten, treibst den Aufbau moderner Datenplattformen voran und möchtest als Pionierin oder Pionier die Data-Governance-Landschaft unserer Kunden aktiv mitgestalten.
KI-Kompetenz: Du verfügst über vertiefte KI-Expertise, gestaltest deren verantwortungsvollen Einsatz in deinem Verantwortungsbereich aktiv mit und fungierst als Enabler für Kunden sowie intern bei adesso.
Sprachkenntnisse: Deine sehr guten Deutsch- und guten Englischkenntnisse ermöglichen dir eine sichere Kommunikation.

Unser Versprechen: Du wirst dich bei uns wohlfühlen! Kollegial, familiär und auf Augenhöhe – wir leben Austausch, Teamgeist und einen respektvollen Umgang miteinander. Diversität und verschiedene Blickwinkel werden bei uns genauso geschätzt wie du als Mensch. Das und viel mehr steht für unser ganz besonderes Wir-Gefühl. Für das es sogar ein Wort gibt: adessi.

Unsere Kultur und das Zusammenarbeiten sind geprägt von gegenseitiger Wertschätzung, Anerkennung und Unterstützung. Das verbindet uns hierarchieübergreifend – auch im Home-Office. So belegen wir zum wiederholten Mal den 1. Platz beim Wettbewerb „Deutschlands Beste Arbeitgeber in der ITK“!. Unser umfangreiches Trainingsangebot und ein transparentes Laufbahnstufenmodell für alle sorgen dafür, dass deine Entwicklung bei uns nicht stillsteht. Denn gemeinsam zu wachsen und Chancengeber zu sein, das ist programmiert in unserer DNA.

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Data Engineer

Senior Data Migration Architect SAP (all genders)

adesso business consulting AG

Munichinternshipsenior

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Role description

DEINE ROLLE

Transformation begleiten: Unterstütze als Bindeglied zwischen Fachabteilungen und IT unsere Kunden bei Transformationsprojekten.
Lösungen entwickeln: Neben S/4HANA-Transformationen umfasst dein Aufgabenbereich auch Carve-Outs, Merger, Reorganisation, Data Cleansing und andere Transformationsszenarien.
Migrationsteam koordinieren: Sorge für einen reibungslosen Ablauf innerhalb der Migration.
Anforderungen sicherstellen: Stelle sicher, dass alle Anforderungen und Vorgaben berücksichtigt werden.
Qualität sichern: Übernimm die Qualitätssicherung der Migration und sorge für einen erfolgreichen Abschluss.
Hands on: Den Angebotsprozess unterstützt du inhaltlich durch deine umfangreichen Kenntnisse im Bereich der Datenmigration.

DEIN PROFIL

Background: Du bist bereits einige Zeit in der SAP-Datenmigration tätig und kennst dich mit den gängigsten SAP-Migrationswerkzeugen und Methoden aus.
Technisches Verständnis: Du verfügst über ein ausgezeichnetes technisches Daten- und Architekturverständnis im SAP-Umfeld.
Projekterfahrung: Idealerweise hast du Erfahrungen als (Teil)-Projektleiter:in in Migrationsprojekten gesammelt.
Kommunikationstalent: Du kommunizierst sicher auf Deutsch und Englisch, intern sowie extern.

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Data Engineer

dbt Architect (all genders)

adesso SE

Augsburg

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Role description

DEINE ROLLE

Berate Kunden: Du arbeitest in spannenden Transformationsprojekten, entwickelst wiederverwendbare Datenprodukte mit dbt und bist du Ansprechperson für Kunden, Partner und internes Management.
Strategische Architektur und Design: Du gestaltest Datenarchitekturen für Enterprise-Kunden und übernimmst Verantwortung – von der ersten Idee bis zur laufenden Produktion.
Verantworte den Aufbau von Data Platforms: Du stellst sicher, dass CI/CD, Testkonzepte sowie Infrastructure as Code konsequent berücksichtigt werden. Inklusive der Integration von Agentic AI als strategischem Bestandteil in allen Prozessschritten.
Wähle Technologien aus: Du berätst bei der technologischen Roadmap und Strategie und unterstützt bei der Auswahl der richtigen Tools (dbt Core, dbt Fusion, dbt Cloud/dbt Platform).
Data Management: Du hilfst unseren Kunden, strukturierte und verlässliche Datenprozesse aufzubauen, wie die Einhaltung von Datenschutzrichtlinien, Definition von Data Governance Richtlinien und Implementierung von Datenzugriffs- und Sicherheitskonzepten.
Data Engineering & Presales: Du prägst die technische Ausrichtung im Data Engineering bei Kunden und intern, verantwortest in Angeboten technische Lösungskonzepte, begleitest Angebotspräsentationen und führst Workshops durch.

DEIN PROFIL

Data Engineering: Du hast mindestens fünf Jahre Erfahrung in Data Engineering oder Analytics Engineering, sowie sehr gute dbt-Kenntnisse (Core + Cloud), idealerweise belegt durch eine dbt Architect Zertifizierung.
Data Platform Architektur: Du hast umfängliche Praxiskenntnisse in Data Platform Projekten, idealerweise mit Snowflake, Databricks, Microsoft Fabric oder BigQuery und beherrschst Data Platform Konzepte (DWH/Data Lake/Datalakehouse und Data Mesh) und die Modellierung mit Data Vault 2.0. oder klassischen Modellierungspattern wie Snowflake und Star.
Cloud-Expertise: Du bringst Erfahrung im Bereich Cloud Data Platforms und einem Cloud Hyperscaler wie AWS, GCP oder Azure mit und du kennst dich grundlegend mit Cloudinfrastruktur aus.
Kommunikationsstärke: Du kannst Lösungen pitchen und Kunden begeistern.
Projekt- und Consultingerfahrung: Du hast nachweisliche Erfahrungen in der Projektleitung sowie als Product Owner, Architect oder in einer vergleichbaren Funktion. Dabei hast du Architekturentscheidungen eigenverantwortlich getroffen.
KI Kompetenz: Du verfügst über vertiefte KI-Expertise, gestaltest deren verantwortungsvollen Einsatz in deinem Verantwortungsbereich aktiv mit und fungierst als Enabler für Kunden sowie intern bei adesso.
Sprachkenntnisse: Du verfügst über sehr gute Deutsch- sowie gute Englischkenntnisse.

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

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Senior Forward Deployed Data Engineer (f/m/d)SAP · Germany

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