SAP Data Engineer

2 days ago

Sydney, New South Wales, Australia CareCone Group Full time $80,000 - $120,000 per year

Title: SAP Data Engineer

Location: Sydney

Permanent Role.

Role Overview:

The Data & Analytics team sits within Client Technology's Platform Engineering division and is responsible for building, operating, and maintaining data systems and pipelines that underpin our customers' data and workloads.

Key Responsibilities:

  • Design, develop, package, test, support, and operate cloud, on-premises, and hybrid batch-mode data pipelines and datasets with a broad range of technology stacks, including SAP Data Services, SAP BusinessObjects, Google Cloud Platform, Amazon Web Services, Tableau, TIBCO Data Virtualization, and TIBCO Spotfire.
  • Explore, analyze, enhance, integrate, catalogue, and document datasets and data pipelines.
  • Develop, implement, maintain, and report on data quality standards and metrics.
  • Support business, governance, and operations teams with data and metadata inquiries, and implement required data processing, storage, automation, and access controls and enhancements.
  • Follow Change, Incident, and Problem Management policies and processes, including risk identification, risk mitigation, and communications with relevant business, technology, market, and vendor stakeholders.
  • Ensure data pipelines and products are designed and built to be run within a critical market infrastructure environment.

Must have

  • 2+ years of hands-on experience engineering data pipelines with SAP Data Services.
  • Good knowledge of data modeling and how to structure data within data lakes and data warehouses, while following best practice data management standards.
  • Solution design experience with a good working knowledge of DevSecOps practices to achieve high levels of automation across complex data pipelines.
  • Bachelor's degree in Computer Science, Engineering or equivalent background.

Nice to have

  • AWS Data Engineer - Associate certification.
  • A hands-on engineer with experience working with a variety of data engineering tools across ingestion, curation, storage, orchestration, data management, reporting, analytics, and distribution on AWS data platforms, Tableau, TIBCO Data Virtualization, Spotfire, and/or equivalent technologies.
  • Experience working within a platform/product operating model where frameworks and development kits are leveraged to achieve standardization, re-use, and scale.
  • A working knowledge of data mesh/data product concepts with federated data ownership at the domain-level, but operating on centralized platforms and governance.
  • Experience working within financial markets and related datasets will be of benefit.

Interested Candidates can share their CVs at ""

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