Systems Accountant - ERP implementation - Interim Contract The Opportunity Our client is seeking a qualified accountant with ERP system project delivery experience to support the implementation of a new ERP system within their growing finance function. You'll be instrumental in ensuring a seamless transition from their current platform - safeguarding financial data accuracy, optimising finance processes, and encouraging adoption across the wider commercial teams. Key Responsibilities Support the full lifecycle ERP system implementation, including finance-specific scoping, configuration, testing, go-live, and post-implementation activities. Collaborate with finance leadership to design and embed efficient workflows, reporting frameworks, and internal controls. Act as an ERP system subject-matter expert for finance, providing guidance, troubleshooting, and training for system users. Use advanced Excel to validate financial data, reconcile balances, and strengthen reporting outputs. What You'll Bring Demonstrated experience supporting ERP system implementations, ideally with a finance/accounting focus. Strong technical understanding of ERP platforms, integrations, and financial data structures. Background in construction or a related industry. Advanced Excel proficiency and confidence working with large, complex financial datasets. Excellent communication skills, with the ability to explain technical solutions to finance and non-finance stakeholders. Organised, detail-oriented, and proactive, with solid project support and problem-solving capability. Fully qualified accountant (ACA, ACCA, CIMA, or equivalent) or working towards qualification. QBE applicants will also be considered. At Gleeson Recruitment Group, we embrace inclusivity and welcome applicants of all backgrounds, experiences, and abilities. We are proud to be a disability confident employer. By applying you will be registered as a candidate with Gleeson Recruitment Limited. Our Privacy Policy is available on our website and explains how we will use your data