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Lead Data Engineer

Government Recruitment Service
Sheffield
2 days ago
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Overview

As a Lead Data Engineer specialising in Oracle EPM, you will bring a passion to deliver the data engineering vision aligned with the enterprise performance management strategy, as set by the EPM Product Manager. Your focus will be on designing and implementing robust data pipelines and integrations that support Oracle EPM modules.


You will lead the development of data flows between Oracle EPM, ERP systems, and analytics platforms, ensuring high-quality, timely, and secure data delivery. This includes identifying and onboarding new data sources, developing ETL/ELT processes, and optimising data models to support planning, forecasting, and reporting needs.


You will collaborate closely with the EPM functional team, Data Acquisition, Analytics, and Infrastructure teams, you will ensure the successful execution of the data strategy. You will also work with Principal Data Engineers, Data Architects, EPM Solution Architects, and Database Administrators to define and enforce data governance, integration standards, and best practices across the Oracle EPM landscape.


Responsibilities

  • Managing and integrating data sources across Oracle EPM and connected systems (e.g., ERP, HCM, FDI, data warehouses) to improve data quality, consistency, and readiness for planning, forecasting, and reporting.
  • Designing and developing EPM-specific data models and ETL/ELT processes, working closely with the Analytics and Finance teams to map and transform data into structures that support Oracle EPM modules such as Planning, FCCS, and PCMCS.
  • Engage with key stakeholders across Finance, IT, and business units to understand performance management needs, manage expectations, communicate progress, and foster a service-oriented approach to data delivery and support.
  • Oversee the performance of third-party vendors and internal data teams, enhancing delivery capability, and creating a roadmap that balances immediate EPM reporting needs with long-term data platform investments.
  • Optimise data lifecycle processes including data availability, capacity planning, and archiving strategies, while continuously improving the efficiency and reliability of data ingestion into Oracle EPM.
  • Line managing and mentoring team members, supporting their professional development and fostering a culture of continuous improvement and technical excellence within the Oracle EPM data engineering function


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