CoE - Principal Data Analytics Engineer - 18+ years

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. 

Meet your team

At SAP, we're more than just the global leader in business software—we're a driving force behind the world's economic engine. Here, your ideas don't just matter—they make a real difference. As part of our Center of Expertise (CoE) within Premium Hub you'll work alongside top talent to deliver cutting-edge support to our most strategic customers, including those in MaxAttention and challenging workstream We believe in proactive, long-term partnerships built on trust, respect, and a deep understanding of our customers' unique business needs. Our mission is to co-create value by improving IT and business operations, safeguarding critical projects, and driving innovation.

What you'll do

As a Data Engineer you are responsible for:

• Engage and deliver around Business Data cloud (BDC) as Date Engineer which is foundation of artificial intelligence and machine learning scenarios of SAP
• Perform the role of a technical lead on projects/services of Data and Analytics.
• Act as a trusted advisor/technical architect on Data and Analytics domain for the customer
• Engage in Data Preparation, Data Integration, Data Management and preparation tasks in BDC/Datasphere
• Understand business processes, select best approaches, evaluate their performance and assess business relevance to implement for Data mesh, data modelling and Data governance.
• Support in preparation of Data Science, AI, ML Embedded in S/4, Databricks and other solutions.
• Expand own skill sets to other and upcoming areas of AI, ML, Predictive Analytics of SAP
• Data product thinking, ready for Estimation and planning, Risk management, Methods and governance
• Analytical, results-driven with solution-oriented approach, team player and yet can work independently
• Possess exceptional interpersonal and communication skills
• Must be open to travel.

What you bring

Required skills (must have): 

Experience in one or more of the following topics:

• Exposure to SAP Datawarehouse cloud, SAP BW, SAP Hana, Planning
• Hana Data modeling / manipulation / Data ingestion, SQL‑based transformations and performance design
• Secure retrieval from Datasphere/HANA via Open SQL; chunking, embeddings, vectors
• SQL‑based transformations and performance evaluation and design
• Data modeling and semantics - Dimensional and semantic modeling for analytic, Replication vs. federation trade‑offs; CDC, scheduling/monitoring
• SQL optimization, calculation view modeling patterns, pruning, caching strategies
• Experienced in building connections, virtual vs. replicated data, SQL/graphical views, replication/data flows
• SAP data & analytics landscape expertise on SAP BW 7.x and BW/4HANA, S/4HANA analytics touchpoints (CDS views, embedded analytics, integration patterns)
• Open SQL schema consumption patterns for external compute/ML notebooks
• Very good analytical skills to solve complex problems; a structured, reliable and independent way of working under pressure; a safe and friendly appearance and general communication skills.

Preferred skills (good to have)

• Analytics and Visualization tools like SAP Analytics cloud, Business Objects.
• Scripting and automation - Python for data/ML workflows against HANA Cloud/Datasphere (hdbcli, hana-ml, JDBC/ODBC)
• Orchestration/monitoring patterns for data pipelines
• Python + hana-ml integration; optional AI Core for ML ops
• Understanding of REST, OAuth/SAML basics; JSON, Parquet, CSV,
• Understanding of SPARQL query language and syntax.
• Knowledge of RDF (Resource Description Framework) and graph databases.
• Knowledge of RDF data modeling and schema design.

EDUCATION AND QUALIFICATIONS / COMPTENCIES

• Graduate or master's degree in computer or Electronics & Communication Engineering / Computer science / Information Technology systems/ Computer applications / IT Business Systems or equivalent. /Master/Bachler of Science in Comp Science/Technology
• Must have excellent communication and collaboration with team members, customers and senior level management team.
• Coordination support for important customer issues (investigating, providing workarounds) for complex and cross-component issues.
• Experience in communication with customers and managing expectations.
• Proactive in learning and highly self-motivated

WORK EXPERIENCE

• 13 to 15 years of relevant work experience delivering project/service as lead and expert.
• At least 3 projects delivered as lead and 3 projects as expert.
• Good in value and business outcome framing, Proposal/SOW structure, scoping language, assumptions/constraints.
• Understand key industry metrics, value drivers, and common analytics use cases
• Experience in Client/ Customer interaction
• Experience in System Administration / Support /Service / delivery / Team Lead.

#SAPInternalT4PF

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:

For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, 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 Guidelines for Ethical Usage of AI in the Recruiting Process.

Please note that any violation of these guidelines may result in disqualification from the hiring process.

Requisition ID: | Work Area: Consulting and Professional Services  | Expected Travel: 0 - 10%  | Career Status: Professional  | Employment Type: Regular Full Time   | Additional Locations:  #LI-Hybrid