3 of 3 Permanent Integration Patterns Jobs in Hertfordshire

tech stack. This is a hands-on role ideal for someone who enjoys working with APIs, data mapping, authentication flows, and solving real-world integration challenges in enterprise environments. What You’ll Do Develop and maintain secure, scalable integrations between Oak and third-party systems (e.g. Azure AD, Workday … custom APIs) Collaborate with customer success and implementation teams to support integration requirements Own authentication flows (OAuth2, SAML, etc.) and integration-specific APIs Maintain integration documentation and configuration guides Troubleshoot and resolve integration issues across customer environments Build reusable components and tools to streamline future integrations ...

Data Engineer - Azure Integration | Hotel Chocolat Hybrid working - 2 Days per week in office Hertfordshire/Cambridgeshire borders & Home/Remote Negotiable DoE £50,000 to £65,000 plus benefits Job Reference J13125 No sponsorship available for this opportunity As we continue our mission to make people and nature … Senior Data Manager, the SQL Data Engineer will play a key role in the organisation's data transformation programme, working across SQL Server, Azure Integration Services, data warehousing and enterprise data architecture. You will be responsible for helping shape Logical and Canonical Data Models (LDM/CDM), supporting ...

applications leveraging LLMs, RAG architectures, Agentic frameworks, and multi-modal AI systems. Translate business requirements into technical specifications, API contracts, data schemas, and system integration patterns. Guide model selection, evaluation criteria, and deployment strategies for ML models in production environments. Champion MLOps practices including model versioning, monitoring, performance tracking … modernizations, and cloud data platform migrations. Define data product requirements including ingestion pipelines, transformation logic, data quality rules, governance policies, and access patterns. Oversee integration of multiple data domains, ensuring interoperability, data lineage, and metadata management. Partner with data engineering teams on performance optimization, cost management, and scalability planning. ...