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

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

Zusammenfassung

An innovative company is seeking a (Senior) Data Engineer to enhance their AI capabilities through robust data engineering practices. This role involves building ETL pipelines, collaborating with experts across various business lines, and contributing to the development of Knowledge Graph solutions. With a focus on transforming how businesses utilize data, this position offers a unique opportunity to work at the intersection of AI and data science. Join a dynamic team dedicated to pushing the boundaries of technology and making a significant impact in the industry. If you're passionate about data and AI, this role is perfect for you.

Leistungen

Flexible working hours

Health insurance

Professional development opportunities

Collaborative team environment

Remote work options

Employee recognition programs

Qualifikationen

• 3+ years of experience in data engineering with a focus on ETL pipelines.
• Proficiency in Python and experience with cloud stacks like AWS or GCP.
• Familiarity with Knowledge Graph technologies and data models.

Aufgaben

• Build ETL pipelines for data ingestion into Knowledge Graphs.
• Collaborate with domain experts to interpret and process data.
• Contribute to designing scalable applications for AI integration.

Kenntnisse

Python

Data Engineering

ETL Pipelines

Cloud Technologies (AWS, GCP, Azure)

Knowledge Graph Technologies

Data Science

Ausbildung

Bachelor's or Master's in Computer Science

Degree in Artificial Intelligence

Degree in Physics or Mathematics

Tools

Metaflow

Airflow

RDF

SPARQL

Jobbeschreibung

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

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Client:

SAP

Location:

Berlin, Germany

Job Category:

-

EU work permit required:

Yes

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Job Reference:

Job Views:

1

Posted:

30.04.2025

Expiry Date:

14.06.2025

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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. How? 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.

• Unique opportunity to 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.

What you bring

• Bachelor's or master’s degree in computer science, Artificial Intelligence, physics, mathematics, or other relevant disciplines
• 3+ years of related professionalhands-on experience with pipelines ingesting and transforming data in data science projects
• Proficiency in Python -Capability to implement efficient complex algorithms to extract and analyse data from sophisticated formats (e.g.: Abstract Syntax Trees, CDS CSN, OpenAPI, OData EDMX, BPMN)
• Hands-on experience with any of the cloud stacks (AWS, GCP, Azure)
• Experience with object stores, relational databases or vector databases is a must
• Curiosity and interest to experiment and adopt new technologies and frameworks
• Ability to work effectively in distributed, cross-cultural teams
• Experience building ETL pipelines with Metaflow, Airflow or similar frameworks is a plus
• Experience with Knowledge Graph technologies (e.g., RDF, SPARQL) is a plus
• Understanding of SAP S/4HANA backend (ABAP and Data Dictionary) and data models (e.g., VDM, CDS Views, RAP, OData) or experience with BTP is a plus

Meet your team

SAP's AI organization is dedicated to seamlessly infusing AI into all enterprise applications, enablingcustomers, partners, and developers to enhance business processes and generate remarkable businessvalue. 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.