Platform Engineering Expert - SAP Data Accelerator (m/f/d)

SAP

Berlin

Vor Ort

EUR 70.000 - 90.000

Vollzeit

14 Tage+

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Benefits dieser Stelle

Constant learning opportunities
Great benefits
Collaborative environment

Zusammenfassung

SAP in Berlin is seeking a Platform Engineering Expert to contribute to the innovative Big Data Fabric Services (BDFS). You will work on secure data access and connectivity capabilities while collaborating with a passionate team. Responsibilities include design, coding, and quality assurance, emphasizing Java, Python, and Go in cloud-native environments.

The ideal candidate will have strong analytical skills, with a Bachelor's degree in a related field and expertise in Kubernetes and networking concepts. Join us and shape the next generation of SAP Data Accelerator!

Qualifikationen

  • Strong programming skills in Java, Python, and Go.
  • Experience working in cloud-native environments.
  • Excellent analytical and problem-solving skills.

Aufgaben

  • Contribute across design, coding, and quality assurance.
  • Drive platform decisions balancing security and scalability.
  • Mentor team members to foster professional development.

Kenntnisse

Java
Python
Go
Algorithms
Data Structures
Networking Concepts
Analytical Skills

Ausbildung

Bachelor’s degree in Computer Science or related field

Tools

Kubernetes
Apache Spark

Jobbeschreibung

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.

Product

SAP Data Accelerator focuses on secure partner connectivity and access to SAP business data across SAP ERP and Line‑of‑Business 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
  • Bachelor’s degree in any of the following areas: 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
Core Engineering and Technical Leadership

Core engineering and technical leadership

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, including 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
Meet Your Team

You will work with your team on SAP Data Accelerator within SAP HANA Cloud & Data Lakehouse / 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.

SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities.

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