Wait, What Do You Do?

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. <div> <div> What you’ll build </div> <div> </div> <div> Ready to lead the AI Revolution? </div> <div> As a Senior Data & AI Engineer Technical Lead, you will: </div> <div> <ul style="list-style-type:disc"> <li style="font-family:arial, helvetica, sans-serif;font-size:10.0pt;color:black"> design and build the data engineering framework, reusable components and templates (eg CI/CD), and best practices that we need to boost productivity of hundreds of SAP Data Engineers building AI-ready Data Products. </li> </ul> </div> <div> <ul style="list-style-type:disc"> <li style="font-family:arial, helvetica, sans-serif;font-size:10.0pt;color:black"> extend this data engineering framework to make it easy for AI Agents to discover and consume those Data Products at scale </li> </ul> </div> <div> <ul style="list-style-type:disc"> <li style="font-family:arial, helvetica, sans-serif;font-size:10.0pt;color:black"> turbo charge the Data Product Engineers experience by providing powerful AI-assistant for accelerating Data Product development and operations </li> </ul> </div> <div> </div> <div> You will work on cutting-edge technology stack based of SAP Business AI Platform, extended with Microsoft Azure and Databricks strategic partners technologies </div> <div> You will work in an international agile team, collaborating closely with product owner and users to shape the desired features, and you will provide actionable solution design and guideline, and deliver incrementally our frameworks and services with your agile team peers. </div> <div> </div> <div> What you bring </div> <div> </div> <div> <ul style="list-style-type:disc"> <li style="font-family:arial, helvetica, sans-serif;font-size:10.0pt;color:black"> Successful Data Engineering track record and experience in building Data Product with enterprise quality, preferably in Lakehouse architecture </li> </ul> </div> <div> <ul style="list-style-type:disc"> <li style="font-family:arial, helvetica, sans-serif;font-size:10.0pt;color:black"> Proficiency in Python development </li> </ul> </div> <div> <ul style="list-style-type:disc"> <li style="font-family:arial, helvetica, sans-serif;font-size:10.0pt;color:black"> Proficiency in version control systems (e.g. GitHub) and CI/CD frameworks (e.g. Github Actions), and ability to setup robust pipelines at scale </li> </ul> </div> <div> <ul style="list-style-type:disc"> <li style="font-family:arial, helvetica, sans-serif;font-size:10.0pt;color:black"> Strong knowledge with Databricks (PySpark, Delta Lake, Unity Catalog) or equivalent technology </li> </ul> </div> <div> <ul style="list-style-type:disc"> <li style="font-family:arial, helvetica, sans-serif;font-size:10.0pt;color:black"> Strong knowledge in Agentic AI, and know-how knowledge of framework like LangGraph, MCP, A2A </li> </ul> </div> </div> <div> <div> <ul style="list-style-type:disc"> <li style="font-family:arial, helvetica, sans-serif;font-size:10.0pt;color:black"> Strong knowledge with industry standard microservices (Kubernetes, Docker) </li> </ul> </div> <div> <ul style="list-style-type:disc"> <li style="font-family:arial, helvetica, sans-serif;font-size:10.0pt;color:black"> Strong English communication skills (written and spoken), required for collaboration with international teams </li> </ul> </div> <div> <ul style="list-style-type:disc"> <li style="font-family:arial, helvetica, sans-serif;font-size:10.0pt;color:black"> Ability to provide actionable technical guidance and to implement engineering excellence practices among agile team peers </li> </ul> </div> <div> </div> <div> Where you belong </div> <div> CPIT is SAP’s technology backbone and most compelling reference customer, and as such, we influence SAP product development and strategy, with our customer experience at heart. Our Enterprise AI Center of Excellence is leading the charge in embedding AI into business processes, powered by high-quality data and next-gen search architecture.  We build and run AI platforms, custom solutions, and AI agents informed by reusable data products that simplify work across SAP. We work in agile, autonomous teams with a culture of trust, creativity, and continuous learning. If you're passionate about AI and want to help shape the future of enterprise technology - this is the place to be! #LI-DK1 </div> </div> 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 <a href="https://one.int.sap/me@sap/jobs_and_hiring/employee_referral/region/0000/lang/en">SAP Employee Referral Program</a>, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements. Successful candidates might be required to undergo a background verification with an external vendor. AI Usage in the Recruitment Process For information on the responsible use of AI in our recruitment process, please refer to our <a href="https://jobs.sap.com/content/Ethical_usage_of_AI_in_the_recruiting_process/?locale=en_US">Guidelines for Ethical Usage of AI in the Recruiting Process</a>. Please note that any violation of these guidelines may result in disqualification from the hiring process. Requisition ID: 455151 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid

Senior Data & AI Engineer Technical Lead (Sofia, BG, 1407)