Forward Deployed Data Engineering Expert

We help the world run better
At SAP we keep it simple: you bring your best to us and well bring out the best in you. Were builders touching over 20 industries and 80% of global commerce and we need your unique talents to help shape whats next. The work is challenging but it matters. Youll find a place where you can be yourself prioritize your wellbeing and truly belong. Whats in it for you Constant learning skill growth great benefits and a team that wants you to grow and succeed.

In this role you design build and operate scalable data pipelines and platforms that enable analytics reporting and advanced data driven use cases embedded directly within customer environments and fast-moving delivery teams. You translate business and analytical requirements into robust maintainable data solutions and ensure that data is reliable secure and accessible across the organization. You work closely with customers and combine cloud native software engineering enterprise data engineering and production grade AI capabilities to solve complex real world business problems at are accountable for the technical quality scalability and business impact of delivered solutions within customer engagements. You operate at the intersection of engineering data AI and customer delivery collaborating closely with product architecture ML and customer teams to accelerate adoption of AI driven enterprise solutions while maintaining alignment with SAP engineering and security standards

What you Bring

• Strong experience in data engineering including the design and implementation of scalable data pipelines and data models.
• Ability to operate effectively in an Agentic AI context contributing to the design application and responsible use of AI agents within complex business processes.
• Proficiency in SQL and at least one programming language commonly used in data engineering (e.g. Python).
• Experience working with modern data platforms and cloudbased data technologies (e.g. data warehouses data lakes distributed processing frameworks).
• Solid understanding of data quality data governance and data lifecycle management in enterprise environments.
• Ability to translate business and analytical needs into robust technical data solutions.
• Strong collaboration and communication skills with the ability to work effectively across technical and nontechnical teams.
• Design and develop scalable end-to-end data pipelines and ETL/ELT solutions
• Expertise in enterprise data modelling orchestration and system integration
• Strong proficiency in Python and SQL for data engineering and transformation
• Hands-on experience with PySpark Databricks and big data processing frameworks
• Experience with workflow orchestration tools such as Airflow
• Strong working knowledge of SAP HANA and enterprise data platforms
• Experience with lakehouse and columnar storage formats including Parquet and Delta Lake
• Build and manage real-time streaming pipelines using Kafka or similar technologies
• Ensure data quality governance compliance and PII protection standards
• Apply CI/CD Docker and Git best practices within data engineering workflows

What you Build

.In this role you will:

• Design develop and maintain scalable data pipelines and data models that support analytics reporting and AI use cases.
• Integrate data from multiple internal and external sources ensuring data quality consistency and reliability across the data landscape.
• Build and optimize data processing workflows using modern data platforms and cloud based technologies.
• Ensure data solutions meet enterprise requirements for performance security governance and compliance.
• Embed directly into customer projects and fast moving cross functional teams to rapidly understand business processes technical landscapes and operational challenges.
• Collaborate with data scientists analysts and product teams to translate analytical requirements into efficient data engineering designs.
• Monitor troubleshoot and improve data pipelines and platforms to ensure operational stability and continuous improvement.

• Capture reusable patterns accelerators and product improvement opportunities from customer engagements contributing back to engineering standards frameworks and best practices across teams.

• Contribute to engineering standards best practices and reusable components to increase efficiency and maintainability

Where you Belong

You will be part of agrowing AI and industry expert teamdedicated to serving customers across the region (Americas Europe Asia). We are building a collaborative high-impact environment that brings together deep AI expertise strong industry knowledge and regional understanding to help customers innovate transform and lead in their markets.

This team thrives on working together to turn complex business challenges into practical scalable solutions. You will find an environment that valuescuriosity ownership and continuous learning where new ideas are encouraged and real-world impact matters. This is a place for people who enjoy building something new. You will thrive here if you arecustomer-centric motivated by meaningful outcomes and comfortable navigating ambiguityin a fast-evolving AI landscape.

We work closely with decision-makers challenge assumptions with data and give data scientists room to influence strategynot just produce analysis. We value sharp thinking business curiosity and clear communication.

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
SAPs 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: 453993 Work Area: Software-Design and Development Expected Travel: 0 - 10% Career Status: Professional Employment Type: Regular Full Time Additional Locations: #LI-Hybrid