ABAP Expert - SAP Data Accelerator (m/f/d)

We build the platform capabilities that make this possible. THE PRODUCT WHAT YOU’LL DO:As an ABAP Expert, you will contribute across design, coding, testing, operability, and quality assurance in a development team, while also helping shape architecture and technical direction You will assess and solve issues in new or existing code and work with high attention to detail, reliability, and efficiency. You will collaborate closely with your team members and stakeholders to ensure success In your day-to-day, your tasks will be: Work on design, coding, and quality assurance tasks related to strategic product capabilities Drive platform decisions that balance security, scalability, operability, and product evolution across current and future phases Development activities in ABAP and Java.

Work in an agile team that uses the Scrum framework to self-organize and work towards development goals. Mentor and guide the team to foster professional development and engineering excellence Support the team on technical discussions, architecture topics, and platform direction Help build PoCs, evaluate technical options, and drive important engineering decisions LEARNING OPPORTUNITIES By joining our team, you will help shape platform capabilities that evolve from current connectivity scenarios toward broader API-driven and storage-backed data access scenarios. You will work on high-impact engineering topics spanning platform architecture, security, scale, observability, and operational excellence.

You will collaborate with strong engineers across BDFS and adjacent SAP platform areas. You will influence how secure enterprise data access capabilities are built for hybrid SAP landscapes over the next project phases. MEET YOUR TEAM:You will work with your team on SAP Data Accelerator within SAP HANA Cloud & Datalakehouse / Big Data Fabric Services.

These products help our customers access data from anywhere. The Big Data Fabric Services team is responsible for: Extend and complete the SAP Data Platform with big data technologies to support different SAP Lines of Business Leverage Apache Spark and object store technology to provide scalable and cost-effective computing and storage services for big data ingestion, processing, and sharing Integrate into SAP BTP and HANA Cloud & Data Lakehouse to offer a unified development and deployment experience for different SAP Lines of Business Assure multi-tenancy and secure data processing Build capabilities for secure partner connectivity and governed access to SAP business data In the BDFS team, we have an agile and collaborative culture where knowledge sharing is fostered. Your profile WHAT YOU BRING:Required skillsCore engineering and technical leadership Bachelor’s degree in any of the following areas: Computer Science, Systems Analysis, Information Technology, Engineering.

Advanced or fluent English. Excellent programming skills and knowledge of algorithms, data structures, space, and run-time complexity (Big-O notation). Strong hands-on ABAP development expertise, including ABAP OO, ABAP RESTful Application Programming Model (RAP), and modern ABAP development practices.

Strong analytical and problem-solving skills. Ability to troubleshoot complex backend issues spanning ABAP code, NetWeaver infrastructure, and data extraction pipelines. Good communication skills ABAP lifecycle and engineering excellence Deep understanding of the full ABAP development lifecycle: design, implementation, unit and integration testing, transport management, and production deployment.

Proficiency with the Change and Transport System (CTS/TMS). Experience building and maintaining SAP add-ons, enhancement packages, or backend extensions using ABAP plugin or add-on frameworks. Experience with ABAP performance analysis, runtime analysis (SAT/ST05), and optimization of data-intensive programs and reports.

SAP connector and data extraction development Knowledge in building connectors and extraction components for SAP ERP systems, covering both ECC and S/4HANA landscapes. Deep experience with SAP integration and extraction interfaces: RFC/BAPI, IDoc processing, OData services (SEGW and RAP), and SAP standard extraction frameworks (LO Cockpit, DataSources, BW extractors). Solid understanding of the SAP NetWeaver stack — including the Application Server ABAP (AS ABAP), ICF, and the NetWeaver Communication Layer — and how it underpins secure, scalable data access from external platforms.

Experience designing and implementing partner connectivity patterns from SAP backends to external data platforms, including secure credential handling, session management, and multi-tenant considerations. Nice to have Experience with Java, Python, or Go for building integration layers or connector orchestration logic outside the SAP stack. Hands-on experience with cloud-native or Kubernetes-based environments where extracted SAP data is consumed downstream.

We offer What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. We win with inclusionSAP’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.

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: 454430 | Work Area: Software-Design und Entwicklung | Expected Travel: 0 - 10% | Career Status: Berufserfahren | Employment Type: Vollzeit, unbefristet | Additional Locations: #LI-Hybrid

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Publicada em 01 de nov. de 2026

Publicada em 01 de nov. de 2026

Fonte: Statistisches Bundesamt (Destatis), tabela; dl-de/by-2-0; cálculo da StarIn