Platform Engineering Expert - SAP's Big Data Fabric Services (BDFS)

SAP SE; Brasil; Presencial; BRL 150 000 - 220 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Constant learning opportunities

Skill growth

Collaborative team environment

Resumo da oferta

SAP SE is seeking a Platform Engineering Expert for its Big Data Fabric Services team in Brazil. You will shape secure data access capabilities and develop key platform functionalities. The role requires expertise in Java, Python, and Go, and offers opportunities for continuous learning and professional growth.

Your responsibilities include designing, coding, and ensuring quality in a collaborative environment. Join us to influence how secure enterprise data access capabilities are built across SAP.

Qualificações

• Bachelor’s degree in Computer Science, Systems Analysis, Information Technology, Mathematics, or related fields.
• Advanced or fluent English.
• Strong programming skills in Java, Python, or Go.

Responsabilidades

• Contribute to design, coding, testing, and quality assurance.
• Drive platform decisions to balance security, scalability, and operability.
• Develop features in Java, Python, and Go.

Conhecimentos

Java programming

Python programming

Go programming

Cloud-native development

Kubernetes expertise

Problem-solving skills

Communication skills

Formação académica

Bachelor’s degree in Computer Science or related field

Ferramentas

Apache Spark

Rust

Descrição da oferta de emprego

Platform Engineering Expert - SAP's Big Data Fabric Services (BDFS)

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.

PURPOSE AND OBJECTIVES

Join an innovative, collaborative development environment and help shape secure data access and connectivity capabilities as part of SAP’s Big Data Fabric Services (BDFS). We are looking for a Platform Engineering Expert to help shape the next generation of SAP Data Accelerator and related BDFS platform capabilities across architecture, engineering execution, and production readiness. We do not work as data scientists analyzing or extracting data directly. We build the platform capabilities that make this possible.

THE PRODUCT

SAP Data Accelerator focuses on secure partner connectivity and access to SAP business data across SAP ERP and LoB applications in on‑premise, private cloud, and public cloud landscapes. This work sits within the broader BDFS portfolio, which enables SAP Lines of Business and customers to enter the world of big data more easily. BDFS delivers platform capabilities such as Apache Spark as a service, multi‑language data processing on Kubernetes‑based infrastructure, and access to hyperscaler‑agnostic data sources using the Delta Sharing protocol on top of the HANA Data Lake File Service (HDLFS). As the product evolves through future phases, the scope expands from secure connectivity into broader API‑driven and platform‑managed data access capabilities.

WHAT YOU’LL DO

As a Platform Engineering 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 Java, Python, and Go, with Rust as a plus.
• 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.

WHAT YOU BRING

Required skills

Core engineering and technical leadership

• Bachelor’s degree in Computer Science, Systems Analysis, Information Technology, Mathematics, Physics, 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 expertise in Java, Python, and/or Go in cloud‑native and Kubernetes‑based environments.
• Strong analytical and problem‑solving skills.
• Ability to troubleshoot complex software issues leveraging technical and product skills.
• Good communication skills.
• Willingness to continuously learn both new technologies and business processes.

Platform, security, and operability

• Strong expertise in networking concepts relevant to distributed systems, secure partner connectivity, and cloud environments.
• Strong command of secure connectivity and platform engineering patterns, including OAuth 2.0, mTLS, multi‑tenant service design, and proxy or tunnel‑based architectures.
• Strong background in production hardening, SRE practices, observability, and scalable multi‑tenant service operation.
• Experience with observability practices including metrics, tracing, health checks, alerting, and OpenTelemetry.
• Experience with scalability, autoscaling, capacity management, and performance tuning for distributed services.
• Experience with secure software engineering, threat modeling, and automated testing across unit, integration, end‑to‑end, and scale scenarios.
• Knowledge of AI‑assisted and agentic engineering tools, and the ability to use them effectively across the software development lifecycle.

SAP and platform architecture

• Strong expertise in SAP backend integration, including SAP ERP (ECC or S/4HANA), the NetWeaver stack, and related extensibility patterns.
• Experience shaping technical direction for secure partner connectivity and SAP data access scenarios.
• Experience designing API‑driven platform capabilities such as self‑service enrollment, endpoint discovery, connection and session management, capacity management, or related control‑plane workflows.
• Experience shaping control‑plane and data‑plane architectures for secure, scalable enterprise data access.
• Willingness to take ownership, drive new developments, and work creatively on challenging and groundbreaking tasks in accordance with the highest technical standards, plus a high level of commitment, team spirit, flexibility, and initiative.

Nice to have

• Rust development experience.
• Hands‑on ABAP development experience.
• Experience building SAP add‑ons or backend extensions.
• Current hands‑on experience using AI‑assisted or agentic tools across the software development lifecycle.

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.

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.

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, etc.), 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.