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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 a caring team environment, flexible working models, and various benefit options.
- Warum dieser Job: Be part of a purpose-driven team that values inclusion and fosters professional growth.
- Gewünschte Qualifikationen: 5+ years in Software Engineering, with 2+ years as a data engineer; proficiency in Python required.
- Andere Informationen: Work hybrid from Walldorf or Berlin, contributing to cutting-edge AI technologies.
Das voraussichtliche Gehalt liegt zwischen 54000 - 84000 € pro Jahr.
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 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
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.
- 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.
- Extract relevant information from various LoB data sources for further processing and enrichment of our Knowledge Graph.
- Contribute to design and build stable and scalable applications.
- Guide and inspire the Business Knowledge Graph team.
- 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 generative AI.
What you bring
- 5+ years of related professional experience in Software Engineering with at least 2 years as a data engineer.
- Bachelor’s or master’s degree in computer science, Artificial Intelligence, physics, mathematics, or other relevant disciplines.
- Proficiency in Python and experience building ETL pipelines.
- Hands-on experience in cloud stacks (AWS, GCP, Azure, BTP).
- Experience in building data pipeline activities for projects related to data science.
- Experience with object stores, relational databases, or vector databases.
- Understanding of SAP S/4HANA backend and data models is a plus.
- Experience with Knowledge Graph technologies is a plus.
- Curiosity and interest to experiment with new technologies.
- Strong communication, collaboration, and leadership skills.
Meet your team
SAP’s AI organization is dedicated to seamlessly infusing AI into all enterprise applications. Join our international AI team where innovation thrives.
Bring out your best
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently. We are purpose-driven and future-focused, with a highly collaborative team ethic.
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.
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
Kontaktperson:
SAP 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 solutions and their applications. Understanding how these technologies work will not only help you in interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Network with current or former SAP employees, especially those in data engineering roles. They can provide valuable insights into the company culture and the specific challenges faced by the Business Knowledge Graph team.
✨Tip Number 3
Showcase your experience with cloud stacks like AWS, GCP, or Azure in your conversations. Be prepared to discuss specific projects where you've built ETL pipelines or worked with data science initiatives.
✨Tip Number 4
Highlight your leadership skills and experiences guiding junior team members. SAP values collaboration and mentorship, so sharing examples of how you've inspired others will set you apart.
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 you fully understand the responsibilities and requirements of the Senior Data Engineer position. Highlight your relevant experience in data engineering, ETL pipelines, and cloud technologies in your application.
Tailor Your CV: Customize your CV to reflect your 5+ years of experience in Software Engineering and emphasize your proficiency in Python and building ETL pipelines. Include specific examples of projects where you've contributed to data pipeline activities.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and data engineering. Mention your curiosity for experimenting with new technologies and how your leadership skills can benefit the Business Knowledge Graph team at SAP.
Highlight Collaboration Skills: Since the role emphasizes collaboration with domain experts and guiding junior members, make sure to include examples of your teamwork and leadership experiences in your application.
Wie du dich auf ein Vorstellungsgespräch bei SAP vorbereitest
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with Python and building ETL pipelines in detail. Highlight specific projects where you successfully implemented these technologies, as this will demonstrate your hands-on skills and understanding of data engineering.
✨Emphasize Collaboration Skills
Since the role involves partnering with domain experts across different lines of business, share examples of how you've effectively collaborated in past projects. This could include how you guided junior team members or shaped collaborations with stakeholders.
✨Demonstrate Curiosity for New Technologies
SAP values innovation and experimentation with new technologies. Be ready to discuss any recent technologies you've explored or implemented, especially in relation to generative AI or Knowledge Graphs, to show your proactive approach to learning.
✨Prepare for Design Decision Discussions
Expect questions about critical design decisions you've made in previous roles. Prepare to explain your thought process behind selecting certain technologies or approaches, as this will showcase your leadership and decision-making skills.
