(Senior) Developer and Data Scientist for Semantic Technologies (f/m/d)

SAP
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Job Description

Our company culture is focused on helping our employees enable innovation by building breakthroughs together. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from. Apply now!

What you’ll do:

Within the Industry Cloud Architecture team in BTP Foundation Engineering specifically looks after the BTP Readiness for new Business Models and supports strategic projects like CATENA-X. The major topics are sovereign and decentralized data infrastructure and identities. We want to build an inter-company foundation that enables SAP and its customers to trustfully collaborate and share, to gain deep insights and help to improve products, protect the environment and be more efficient. Technology-wise this shall be based on industry-specific standards and initiatives (e. g. Gaia-X, IDTA), and incorporate technology trends such as AI, Self-Sovereign Identities, Semantic Web etc. In your role as (Senior) Developer and Data Scientist (f/m/d) you:

  • Ideate, prototype, evaluate and help productize as member of a cross-company development team applications and infrastructure in the context of Digital Twins on relationships and linked data in the context of cross company data federation
  • Data modelling, data storage (cassandra/mongodb/hana) in distributed/decentralized environments (data spaces) 
  • Research and evaluate new technologies and frameworks in the context of the business application domain
  • Tool and infrastructure development according to the evolving requirements of the agile consortium 
  • Concept development for next generation Graph based data storage and data access in distributed environments (data spaces) 
  • Research and evaluate new technologies and frameworks in the context company networks and data sharing

What you bring:

  • Readiness to work in a virtual team which consist of various internal and external stakeholders, esp. Product Owner 
  • A startup-like open mind set to take up end to end responsibilities of tasks beyond development 
  • Experiences in working in agile software development processes (Scrum) and experience with DevSecOps and Open Source development 
  • Creative thinking, willingness and ability to quickly learn new concepts and technologies
  • Excellent team player, with strong communication skills, passionate about his/her work, self-motivated and driven
  • Excellent communication (written, verbal and presentation) in English and German, interpersonal and cultural skills
  • Role specific for Developers:
  • Strong development skills (Java) with focus on distributed/federated data
  • A degree in statistics, applied mathematics, computer science, machine learning, economics or a related field 
  • Experience with Graph related data formats like RDF and query languages (SPARQL and GraphQL) would be a plus
  • Role specific for Data Scientists:
  • Experience with ontologies (OWL and TrOWL) 
  • Experience with SPARQL (in particular Apache Jena Fuseki), SHACL, GraphQL and alike 
  • Strong development skills (Java) in context of FOSS and corresponding development pipelines

Company Info.

SAP

SAP SE is a German multinational software corporation based in Walldorf, Baden-Württemberg, that develops enterprise software to manage business operations and customer relations. The company is especially known for its ERP software. SAP is the largest non-American software company by revenue, the world's third-largest publicly-traded software company by revenue, and the largest German company by market capitalisation.

  • Industry
    Information Technology
  • No. of Employees
    100,330
  • Location
    Walldorf, Germany
  • Website
  • Jobs Posted

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