Senior Data Engineer (f/m/d): SAP Business AI - SAP Knowledge Graph

TN Germany; Walldorf; Vor Ort; EUR 60.000 - 100.000; Vollzeit

Zusammenfassung

An established industry player is seeking a Senior Data Engineer to join their innovative team in Walldorf. This role focuses on developing Knowledge Graph solutions that integrate AI technology with business processes, enhancing operational efficiency. You will build ETL pipelines, collaborate with experts across various domains, and contribute to thought leadership in generative AI. The company prides itself on a collaborative culture that values flexibility and personal development, making it an exciting opportunity for those looking to make a significant impact in the field of data engineering.

Leistungen

Flexible working hours

Health insurance

Professional development opportunities

Collaborative team environment

Employee recognition programs

Qualifikationen

• 5+ years in Software Engineering with 2+ years as a Data Engineer.
• Experience with cloud stacks and data pipeline projects.

Aufgaben

• Develop Knowledge Graph solutions for SAP applications.
• Build ETL pipelines for data ingestion and processing.
• Collaborate with domain experts to enrich data.

Kenntnisse

Python

ETL Pipelines

Data Engineering

Cloud Technologies (AWS, GCP, Azure)

Communication Skills

Agile Methodology

Ausbildung

Bachelor's or Master’s in Computer Science

Degree in Artificial Intelligence

Degree in Physics or Mathematics

Tools

Metaflow

Airflow

SAP S/4HANA

Knowledge Graph Technologies

Jobbeschreibung

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Senior Data Engineer (f/m/d): SAP Business AI - SAP Knowledge Graph, Walldorf

Client: SAP

Location:

Job Category: -

EU work permit required: Yes

Job Reference: 0359fc2d9974

Job Views: 1

Posted: 30.04.2025

Expiry Date: 14.06.2025

Job Description:

We help the world run better

At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from.

What you`ll do

At SAP, we amplify the strength of AI technology, fusing it with our robust industry-focused data and profound process knowledge. Our vision is to infuse every SAP application with sophisticated AI capabilities, revolutionizing the way businesses operate. Large Language Models (LLMs) are transforming Machine Learning but pose challenges in business applications due to their limited understanding of structured and unstructured business data such as business data models, business process metadata and documentation, which slows the development progress. It is SAP's mission to overcome these challenges within the realm of Business AI. Our goal is to provide Knowledge Graphs (KG) as key differentiators to address LLM challenges like hallucination and compliance and to deliver distinctive generative AI solutions to our customers.

As a Senior Data Engineer (f/m/d), you will play a pivotal role in shaping and executing the data engineering activities for the Business Knowledge Graphs team at SAP.

The Role:

• Contribute to the development of Knowledge Graph solutions covering SAP domain knowledge and providing grounding to LLM applications (e.g., Joule).
• Build ETL pipelines to lead the ingestion of data, metadata, and other development artifacts into our Knowledge Graph.
• Partner with domain experts across different lines of business (LoB) at SAP, understand and interpret their data, metadata, and other development artifacts and make it consumable in our Knowledge Graph.
• Extract relevant information from various LoB data sources for further processing and enrichment of our large-scale Knowledge Graph serving the Foundation Model and other LLM use cases.
• Contribute to design and build stable and scalable applications.
• Guide and inspire the Business Knowledge Graph team with your expertise in understanding the data.
• Guide junior project members and shape collaborations with stakeholders.
• Make critical design decisions regarding the selection and implementation of underlying technologies.
• Contribute to thought leadership in an entirely new approach towards generative AI, using the combination of Knowledge Graphs and Foundation Models in business contexts.

What you bring

• 5+ years of related professional experience in Software Engineering with at least 2 years of professional experience as a data engineer.
• Bachelor's or master’s degree in computer science, Artificial Intelligence, physics, mathematics, or other relevant disciplines.
• Proficiency in Python as well as experience building ETL pipelines with Metaflow, Airflow or similar frameworks.
• Hands-on experience in any of the cloud stacks (AWS, GCP, Azure, BTP).
• Experience in building data pipeline activities for projects, ideally related to data science projects, e.g., with Large Language Models.
• Experience with object stores, relational databases or vector databases.
• Understanding of SAP S/4HANA backend (ABAP and Data Dictionary) and data models (e.g., VDM, CDS Views, RAP, OData) is a plus.
• Experience with Knowledge Graph technologies (e.g., RDF, SPARQL) is a plus.
• Curiosity and interest to experiment and adopt new technologies and frameworks.
• Strong communication, collaboration and leadership skills, experience with agile methodology and an ability to work effectively in distributed, cross-cultural teams.

Meet your team

SAP's AI organization is dedicated to seamlessly infusing AI into all enterprise applications, enabling customers, partners, and developers to enhance business processes and generate remarkable business value. Join our international AI team where innovation thrives, opportunities for personal development abound, and exceptional colleagues collaborate globally.

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.