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ERP Integration Engineer; Coupa
Job in
Kingston upon Thames, Greater London, SW20 0AA, England, UK
Listed on 2026-05-07
Listing for:
La-Fosse-1
Full Time
position Listed on 2026-05-07
Job specializations:
-
IT/Tech
Data Engineer
Job Description & How to Apply Below
ERP Integration Engineer (Permanent | Hybrid)
We are looking for an experienced Integration Engineer to design, build, and support robust integrations across a complex enterprise environment. This role will focus on enabling reliable data flows between core systems, particularly across procurement and finance platforms.
Key Responsibilities- Design, develop, and maintain system integrations using APIs, messaging, and data transformation tools
- Support integration of finance and procurement data across ERP and third‑party systems
- Build scalable solutions using modern integration patterns (API‑led, event‑driven, batch)
- Monitor performance, troubleshoot issues, and ensure reliability of integrations
- Collaborate with business and technical stakeholders to define data and integration requirements
- Support testing, deployment, and continuous improvement initiatives
- Maintain clear technical documentation and ensure compliance with data governance standards
- Proven experience as an Integration Engineer or similar role
- Strong knowledge of API design (REST, JSON, XML) and integration patterns
- Hands‑on experience with middleware/integration platforms (e.g. Azure Integration Services, Mule Soft, Boomi)
- Experience working with finance and procurement data (e.g. invoices, purchase orders, suppliers)
- Strong data mapping, transformation, and troubleshooting skills
- Experience with cloud platforms (Azure, AWS, or GCP)
- Experience integrating with ERP systems (e.g. Dynamics 365, SAP, Oracle)
- Understanding of finance processes (P2P, O2C, R2R)
- Knowledge of messaging technologies and Dev Ops/CI/CD practices
- Basic SQL or data analysis skills
This is a great opportunity to work on large‑scale integration projects, driving automation, efficiency, and data reliability across the organisation.
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