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- Aufgaben: Shape and execute data engineering activities for SAP's Business Knowledge Graphs team.
- Arbeitgeber: Join SAP, a leader in enterprise applications focused on collaboration and innovation.
- Mitarbeitervorteile: Enjoy flexible working models, a culture of inclusion, and opportunities for personal development.
- Warum dieser Job: Be part of a pioneering team using generative AI to transform business processes.
- Gewünschte Qualifikationen: 5+ years in software engineering, with 2+ years as a data engineer; proficiency in Python required.
- Andere Informationen: Work in a hybrid model from Walldorf or Berlin, with a commitment to equal opportunity.
Senior Data Engineer (f/m/d): SAP Business AI – SAP Knowledge Graph
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.
What you`ll do
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.
- 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. Join our international AI team where innovation thrives, and opportunities for personal development abound.
We win with inclusion
SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone feels included and can run at their best. SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide accessibility accommodations to applicants with physical and/or mental disabilities.
Requisition ID: 411735 | Work Area: Software-Design and Development | Expected Travel: 0 – 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: Walldorf or Berlin | #LI-Hybrid
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Senior Data Engineer (f/m/d): SAP Business AI - SAP Knowledge Graph Arbeitgeber: SAP SE
Kontaktperson:
SAP SE HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Senior Data Engineer (f/m/d): SAP Business AI - SAP Knowledge Graph
✨Tip Number 1
Familiarize yourself with SAP's Knowledge Graph technologies, such as RDF and SPARQL. Understanding these concepts will not only help you in the interview but also demonstrate your genuine interest in the role.
✨Tip Number 2
Showcase your experience with ETL pipelines by preparing specific examples of projects you've worked on. Be ready to discuss the challenges you faced and how you overcame them, especially using tools like Metaflow or Airflow.
✨Tip Number 3
Highlight your collaboration skills by discussing past experiences where you partnered with domain experts or cross-functional teams. SAP values teamwork, so demonstrating your ability to work effectively in diverse groups will set you apart.
✨Tip Number 4
Stay updated on the latest trends in generative AI and data engineering. Being able to discuss recent advancements or technologies in this field during your conversation will show that you're proactive and passionate about your work.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Senior Data Engineer (f/m/d): SAP Business AI - SAP Knowledge Graph
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Senior Data Engineer position. Understand the key responsibilities and required skills, especially those related to data engineering, ETL pipelines, and Knowledge Graph technologies.
Tailor Your CV: Customize your CV to highlight relevant experience in software engineering and data engineering. Emphasize your proficiency in Python, experience with ETL frameworks, and any hands-on work with cloud stacks like AWS or GCP.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and data engineering. Mention specific projects where you have built data pipelines or worked with Knowledge Graphs, and explain how your background aligns with SAP's mission and values.
Highlight Collaboration Skills: Since the role involves working with cross-cultural teams and domain experts, make sure to illustrate your strong communication and collaboration skills in your application. Provide examples of how you've successfully led projects or guided junior team members.
Wie du dich auf ein Vorstellungsgespräch bei SAP SE vorbereitest
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with Python and building ETL pipelines. Highlight specific projects where you utilized frameworks like Metaflow or Airflow, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Your Knowledge of Data Engineering
Familiarize yourself with Knowledge Graph technologies and be ready to discuss how they can be applied in business contexts. Share any relevant experiences you have with RDF, SPARQL, or similar technologies.
✨Emphasize Collaboration Skills
SAP values teamwork and collaboration. Prepare examples of how you've successfully partnered with domain experts or worked in cross-cultural teams. Highlight your leadership skills and how you've guided junior team members.
✨Express Your Curiosity and Adaptability
SAP is looking for candidates who are eager to experiment with new technologies. Be ready to discuss any recent technologies or frameworks you've explored and how you approach learning and adapting to new tools.
