5 of 5 Permanent Integration Patterns Jobs in Yorkshire

regulatory needs. Communicate technical decisions, architectural changes, delivery timelines, and risks clearly and consistently. Lead engineering contributions to change management, assessing system impacts, integration touchpoints, and rollout considerations. Backend Engineering Leadership Guide engineers in building and maintaining Java microservices, internal APIs, event‐driven systems, and backend integration layers. … backend systems are performant, observable, resilient, and well‐documented. Drive improvements in reliability practices-including alerting, runbooks, dashboards, and post‐incident processes. Ensure clean integration patterns between backend services, Salesforce, and external systems. Salesforce Platform Engineering Leadership Lead engineering work across Salesforce schema design, automation, Apex/ ...

leading Salesforce implementations, major enhancements, and complex integrations across the platform - Set and govern technical standards, including data models, security architecture, sharing strategies, and integration patterns, while reviewing and approving designs, configurations, and code - Provide trusted technical leadership, mentoring developers and administrators, guiding stakeholders through architectural decisions ...

will specialise in one or more of our strategic technologies and be comfortable working across the stack (front end, back end, data, and integration). Specialist technology areas include Oracle technologies: Oracle SCM/EBS, PL/SQL, Oracle Fusion Middleware, ATP, VBCS Front end: React, TypeScript/JavaScript … Responsibilities Develop and unit-test high-performance, scalable and secure solutions aligned to agreed architecture and standards. Build APIs, services, and UIs using approved patterns; prepare and release software components through CI/CD pipelines. Create technical documentation and handover materials for successful transition into BAU support. Write ...

science use cases. Lead and support data platform migrations into Databricks from legacy or alternative data platforms. Define architectural standards, best practices, and reference patterns for Databricks implementations. Collaborate with data engineers, platform teams, and stakeholders to translate business requirements into scalable technical solutions. Ensure solutions meetperformance, security, scalability … migrations , modernisation, or large-scale data transformations. Strong understanding of data architecture principles, including: Data lakes/lake house architectures. Data modelling and data integration patterns Performance optimisation and scalability Experience working with cloud-based data platforms. Strong stakeholder communication and documentation skills. Desirable Skills & Experience Databricks certifications ...

operational improvements in a service-led environment Hands-on familiarity with tools such as Zapier, n8n, Make, Activepieces, or equivalents Practical understanding of system integration patterns and API-enabled workflows Experience working in a low code and no code automation environment Experience working with third-party developers ...