Job Board
LogoLogo

Get Jobs Tailored to Your Resume

Filtr uses AI to scan 1000+ jobs and finds postings that perfectly matches your resume

NBCUniversal Logo

Sr Staff SAP Data Engineer

NBCUniversal

$150,000 - $180,000
Aug 18, 2025
Englewood, NJ, USA
Apply Now

NBCUniversal is implementing a data mesh and self-service data integration strategy using SAP Datasphere, requiring efficient migration of master and transactional data from SAP S/4HANA.

Requirements

  • 10+ years of experience in data and BI development – (SAP BW,SAP BW/4 )
  • 5+ years of BI modeling experience with SAP Analytics Cloud and/or SAP Datasphere, including at least 3 full implementation cycles.
  • Deep knowledge of SAP BW, ECC, S/4HANA, and SAC data structures.
  • Hands-on experience with SAP Datasphere and SAP Business Technology Platform.
  • Expertise in S/4HANA Analytics, CDS Views, SAP HANA Cloud, HANA 2.0, and BW/4HANA.
  • Proficiency in Graphical/SQL View modeling and complex dataflow design.
  • Python programming and familiarity with REST APIs.

Responsibilities

  • Lead the design and development of SAP Business Data Cloud/SAP Datasphere and SAP BW/4HANA solutions to support enterprise data and analytics initiatives.
  • Deliver and support analytical solutions using SAP Analytics Cloud (SAC), HANA, HANA Cloud, and Datasphere.
  • Apply best-practice architecture and design principles to build scalable analytical data models.
  • Translate business requirements into effective analytical solutions.
  • Identify and resolve reporting content issues to enhance business value.
  • Build secure, compliant cloud analytics solutions aligned with data privacy standards.
  • Improve master data interfaces across SAP ECC, S/4, BW, BPC, and downstream systems.

Other

  • Collaborate within agile teams, contributing development and analytical expertise.
  • Partner with Corporate Technology teams (BTP, Security, System Engineering) to implement best practices.
  • Maintain and update support and operations documentation.
  • Provide production support during critical periods (month-end, quarter-end, year-end).
  • Fully Remote