1 to 25 of 27 Permanent Integration Patterns Jobs in the City of London

interactions. The Role As a MarTech Technical Architect , you will design enterprise-grade, multi-product MarTech solutions that integrate customer data, campaign orchestration, and analytics. You will create blueprints, integration patterns, and data architectures that enable real-time personalization and scalable marketing operations. Your responsibilities: Lead the technical solution design for multi-platform implementations (Adobe Experience Cloud, CDPs … Braze, Salesforce Marketing Cloud). Design data architecture including XDM/XDB schemas (AEP), identity graphs, event models, and canonical data models for customer 360. Define integration patterns: API-first approaches, event streaming (Kafka, Pub/Sub), batch ETL/ELT, and data warehouse connectors (Snowflake, BigQuery). Specify security, compliance, and privacy controls (PII handling, encryption, consent … functional requirements (NFRs). Provide technical leadership during build: review designs, perform architecture spikes, and support troubleshooting and performance tuning. Define CI/CD pipelines for MarTech configurations and integration code; automate testing and deployments where possible. Mentor engineering teams, drive architectural governance, and ensure adherence to best practices. Your Profile Essential skills/knowledge/experience: Extensive experience More ❯

into efficient, well-integrated stable soutlions. Responsibilities: Design end-to-end solutions, ensuring alignment with best practices and business needs Lead solution architecture across Oracle modules and third-party integration's (e.g., Oracle Integration Cloud, MuleSoft) Translate complex business processes into scalable, secure technical designs Create architecture documentation, data models, and integration flows Provide technical guidance to … For: Ideally, 10+ years of experience with Oracle Fusion Cloud applications, including strong expertise in Sales, Service, and Marketing modules Strong understanding of Oracle data models, workflow automation, and integration patterns Experience with integration platforms such as MuleSoft, Boomi, or Informatica Proven track record designing enterprise-scale solutions Excellent communication and stakeholder management skills Ideally You’ll More ❯

Integration Engineer Permanent - Up to £49,500 Hybrid - Central London Based I'm representing an industry leading client operating within the Food and Beverage industry who have just released an exciting new role! We're looking for a skilled Integration Engineer to design, build, and maintain high-quality, reusable integrations and APIs that drive value across a global … enterprise. This role is ideal for someone with hands-on MuleSoft experience and a passion for building secure, scalable solutions. Key Responsibilities: Design and prototype integration and API solutions Develop and configure integrations to meet business needs Monitor and maintain integration performance and reliability Diagnose and resolve faults to ensure smooth operations Collaborate with cross-functional teams and … external vendors Contribute to project delivery and continuous improvement initiatives What We’re Looking For: Essential : 1+ year of experience engineering APIs and integrations using MuleSoft Strong understanding of integration patterns and secure development practices Desirable : Degree in Computer Science, Engineering, or related field Experience in global or complex enterprise environments MuleSoft Developer I certification Additional language skills More ❯

advisory and assurance across delivery lifecycles, ensuring alignment with enterprise architecture. Evaluate, integrate and implement SaaS/COTS platforms (e.g. Microsoft Dynamics , composable MarTech solutions). Define architectural standards, integration patterns and technical documentation. Collaborate with engineering teams, chairing Technical Design Authority forums. Support modern cloud-based ( Azure/AWS) architecture patterns and data integration strategies. … of CRM and MarTech/CDP platforms ( Microsoft Dynamics preferred). Experience with cloud-native architectures ( Azure , AWS or GCP). Strong understanding of SaaS/COTS implementations and integration patterns. Familiarity with Agile delivery (Scrum) and enterprise-level governance models. Excellent stakeholder engagement and ability to communicate complex technical concepts clearly. Solutions Architect | CRM, D365, Azure More ❯

advisory and assurance across delivery lifecycles, ensuring alignment with enterprise architecture. Evaluate, integrate and implement SaaS/COTS platforms (e.g. Microsoft Dynamics, composable MarTech solutions). Define architectural standards, integration patterns and technical documentation. Collaborate with engineering teams, chairing Technical Design Authority forums. Support modern cloud-based (Azure/AWS) architecture patterns and data integration strategies. … of CRM and MarTech/CDP platforms (Microsoft Dynamics preferred). Experience with cloud-native architectures (Azure, AWS or GCP). Strong understanding of SaaS/COTS implementations and integration patterns. Familiarity with Agile delivery (Scrum) and enterprise-level governance models. Excellent stakeholder engagement and ability to communicate complex technical concepts clearly. CRM Solutions Architect | D365, Azure | London Hybrid More ❯

wide data governance frameworks and design scalable data platforms. You'll define architectural standards that enable advanced analytics, AI/ML capabilities, and regulatory compliance while solving complex data integration, quality, and lineage challenges. Deep knowledge of Microsoft data technologies - including Azure Data Lake, Synapse Analytics, Fabric, and Power BI. This role is perfect for a strategic thinker who … maximum value from existing Microsoft platform investments Transform the data landscape by creating unified approaches to information management across disconnected applications and legacy environments Define connectivity strategies and service integration patterns that eliminate system silos and improve interoperability Facilitate technical design reviews, ensuring solutions meet quality, security, and compliance standards without bottlenecking delivery Partner with executive stakeholders to … institutions, or compliance-driven sectors Must-have experience in own end-to-end Data Enterprise Architecture - from hands-on data modelling and logical/physical schema design, through data integration and connectivity strategies, to strategic roadmap planning and enterprise-wide data capability development. Expert-level understanding of Azure capabilities, including foundation architecture, infrastructure patterns, and platform services Deep More ❯

best practices for Databricks development and deployment. Optimise Databricks workloads for performance and cost. Need to program using the languages such as SQL, Python, R, YAML and JavaScript Data Integration: Integrate data from various sources, including relational databases, APIs, and streaming data sources. Implement data integration patterns and best practices. Work with API developers to ensure seamless … 3+ years of hands-on experience with Azure Databricks. Strong proficiency in Python and Spark (PySpark) or Scala. Deep understanding of data warehousing principles, data modelling techniques, and data integration patterns. Extensive experience with Azure data services, including Azure Data Factory, Azure Blob Storage, and Azure SQL Database. Experience working with large datasets and complex data pipelines. Experience with More ❯

Unity Catalog, Profisee, Alation, DQ Pro . Client Advisory – Act as a trusted consultant supporting strategy, cloud migrations, architecture assessments, and solution roadmaps. Documentation & Compliance – Produce high-quality models, integration patterns, and technical artefacts. Continuous Improvement – Stay on top of emerging technologies and bring fresh thinking into client engagements. 🎓 What You’ll Bring 10+ years in BI/ More ❯

the business to bring products to life. The Role As a Principal Data Engineer, you will be responsible for the technical design, engineering quality, and delivery of data ingestion, integration, transformation, and data product pipelines. The ideal candidate will bring deep expertise in AWS cloud-native data platforms, Snowflake, and modern data engineering practices, with proven experience in banking … and insurance domains. Key responsibilities: Lead the design and development of data ingestion, integration, and transformation frameworks. Architect and deliver data products that are modular, reusable, and aligned with business domains. Ensure technical accountability for detailed design, engineering quality, and delivery of all data engineering solutions. Drive continuous improvement in engineering processes to enhance efficiency, production stability, and ROI. … knowledge/experience: Deep hands-on experience with AWS Cloud-native data platforms, including: AWS Glue, Lambda, Step Functions, Athena, Redshift, S3, CloudWatch AWS SDKs, Boto3, and serverless architecture patterns Strong programming skills in Python and Apache Spark Proven experience in Snowflake data engineering, including: Snowflake SQL, Snowpipe, Streams & Tasks, and performance optimization Integration with AWS services and More ❯

AdTech & MarTech Tech Consultant/Architect (Privacy & Consent) Experienced Technical Consultant with solid experience in the AdTech & MarTech Domain. Strong privacy and consent expertise to lead the design and integration of privacy-centric digital marketing and data activation platforms. You will bridge marketing technology, data governance, privacy compliance, ensuring regulatory requirements and consent principles are embedded in platform design … integration, data flows, audience strategies and measurement capabilities. Architecture Oversee integration of AdTech and MarTech solutions, including CDPs, consent platforms, identity & tagging stacks and activation pipelines. Assess architectures covering tagging, event tracking, attribution, experimentation, audience management and media integrations. Data flows, system interactions and integration patterns across first-party, third-party and cloud-based platforms. Establish More ❯

and security across services Core Technologies: Languages: Node.js, Python Databases: PostgreSQL, DynamoDB Cloud: AWS (Lambda, DynamoDB, PostgreSQL, Infrastructure as Code) Practices: Microservices, TDD, Agile methodologies, CI/CD, system integration patterns Requirements: Significant hands-on experience with Node.js and Python in production systems Strong background in database design and development (PostgreSQL, DynamoDB) Proven experience building and deploying applications More ❯

/re‐architecture exposure Mentoring/tech‐lead experience (or appetite to step up) Modern software engineering/development practices, including micro-services, agile, TDD, etc. and common system integration patterns Knowledge of AWS services and IaC Why Join/Projects Re‐architect and scale core services powering a must‐have analytics product Get the product ready for … some serious scale & growth Shape data models and access patterns for huge datasets and new product lines (beyond bonds & credit into new systems like loans, etc.) High‐trust engineering culture: own your code to production with you personally making 10–12 deploys per day Direct impact on customers who analyse and ingest your data via APIs at a serious More ❯

/.NET in an Azure environment Experience with DevOps, CI/CD tools (TFS, Azure DevOps, MSBuild, Release Management). Strong understanding of Microsoft platforms, AKS, and micro services integration patterns. Applies SOLID principles, TDD, and BDD in development. Able to translate architectural vision into practical business solutions. Provides technical leadership, mentoring, and coaching to team members. Collaborative team More ❯

on technical vision and execution Influence and guide on best practices in data modelling, platform strategy, and pipeline design Support analytics and digital product teams through robust architecture and integration patterns Tech Environment & Tooling Deep focus on Microsoft Azure and associated services: Azure Data Factory, DataBricks, CosmosDB, Azure SQL Strong usage of SQL Server and modern data warehouse … or complex environments Strong ability to communicate architectural principles to both technical and non-technical stakeholders Hands-on data modelling to at least 3NF, with a deep grasp of integration and warehousing design Skilled in balancing business needs, technology constraints, and delivery timelines Passionate about emerging tech and delivering real-world value through architectural excellence Why Join? Be the More ❯

plans, and success metrics. Guide the team on technical standards, code quality, and solution architecture. Support enablement and training sessions for the teams, promoting safe citizen development. Advise on integration patterns (MCP, A2A), security, and data handling. Engage with senior stakeholders to gather requirements, present solutions, and drive adoption. Stay current with Microsoft Copilot, Power Platform, and AI … management requirements. Required Skills & Experience Proven experience leading technical delivery of AI/automation solutions using Microsoft Copilot Studio and Power Platform. Hands-on expertise in Python for automation, integration, or AI/ML tasks. Strong understanding of MCP (Microsoft Cloud Platform), A2A (Application-to-Application) integration, and Azure AI Foundry. Track record of embedding controls, governance, and More ❯

releases and innovations. What You'll Bring 5+ years of Salesforce implementation experience. Strong expertise in Apex, LWC, Aura, VisualForce & REST/SOAP APIs. Solid grasp of SOQL, SOSL & integration patterns. Salesforce Certified (PD1, Admin, App Builder). Sales/Service Cloud or Architect certs, SQL/Java knowledge, Agile background. Why Join Competitive package & growth opportunities Chance to More ❯

within consultancy or digital agency environments - Highly desirable Demonstrated client-facing experience , including presenting technical approaches and managing expectations. Solid understanding of modern backend architecture, API development, microservices, and integration patterns. Experience with TypeScript , RESTful APIs , and ideally GraphQL. Strong understanding of CI/CD pipelines, modern DevOps workflows, and cloud platforms (AWS, GCP, or Azure) Familiarity with testing More ❯

Python/Java/Typescript) with experience building APIs and integrating backend systems. Solid Machine Learning fundamentals. Model Context Protocol for managing context and tool interfaces for agents. LLM integration patterns, including prompt orchestration and tool calling. Retrieval-Augmented Generation (RAG) for dynamic context injection. Understanding of user-centric design for AI interfaces and intelligent automation. Experience with More ❯

Strong knowledge of Salesforce architecture and core clouds (Service Cloud, Experience Cloud). Proficiency in Salesforce Classic and Lightning Experience. Familiarity with Lightning Web Components/Aura, APIs, and integration patterns. Experience in Case Management, Knowledge Management, and Contact Centre solutions. Understanding of DevOps processes and secure design principles. Nice to Have: Exposure to Einstein products, Agentforce, Data Cloud. More ❯

the B2B Fintech payments space. The Implementation Manager will work closely with customers to understand ERP systems such as NetSuite, SAP, and Microsoft Dynamics, gather technical requirements, and oversee integration of the solutions. Experience required: Good background in roles such as Solutions Engineer, Implementation Specialist, or Technical Consultant Strong knowledge of APIs, data mapping, and integration patterns More ❯

culture as the company scales You’ll bring: 3–6+ years’ SAP/ABAP experience and curiosity for what’s next Solid understanding of S/4HANA and modern integration patterns Interest in automation, data, or AI-driven technologies A collaborative mindset and willingness to challenge convention Why you’ll love it: $12M funding = growth and stability Ground More ❯

as the company scales You'll bring: 3-6+ years' SAP/ABAP experience and curiosity for what's next Solid understanding of S/4HANA and modern integration patterns Interest in automation, data, or AI-driven technologies A collaborative mindset and willingness to challenge convention Why you'll love it: $12M funding = growth and stability Ground More ❯

They are providing the utmost level of quality and security in everything they do. Key Responsibilities Design, build, and maintain Azure Data Factory (ADF) pipelines to support complex data integration and transformation needs. Develop scalable and optimised data models in Azure Synapse Analytics for analytical and operational reporting. Govern and enhance Power BI datasets and semantic models, ensuring best … and report design. Lead the development of data architecture and standards across Azure Data Lake and Synapse environments. Contribute to the migration to Microsoft Fabric, shaping platform architecture and integration patterns. Implement and maintain data validation, monitoring, and quality frameworks. Work collaboratively with cross-functional teams to translate business requirements into robust technical solutions. Mentor and support data engineers … managing enterprise models, datasets, and governance processes. SQL: Expert-level proficiency in query design, optimisation, and data transformation. Azure Data Lake: Deep understanding of data structures, storage layers, and integration for analytics. Microsoft Fabric (Emerging): Contribute to the organisation’s transition and adoption strategy. Git/Azure DevOps: Skilled in version control, release management, and CI/CD. Azure More ❯

and implement automated testing and verification processes for the platform and its services. Contribute to the definition and evolution of Motilent’s platform architecture. Design, implement, and maintain Continuous Integration and Continuous Delivery (CI/CD) pipelines. Work in accordance with Motilent’s Quality Management System (QMS) to support the release of regulatory-cleared medical devices. Participate actively in … GCP). Working knowledge of containers and container orchestration (e.g. Docker, Kubernetes). Experience with non-SQL databases (e.g. DynamoDB, MongoDB). Strong understanding of RESTful APIs and service integration patterns. Familiarity with OAuth 2.0 and OpenID Connect (OIDC). Understanding of Agile software development, CI/CD pipelines, and version control systems (Git). Knowledge of unit testing … pipelines, observability, and automated deployment at scale. Demonstrated ability to mentor junior engineers, lead code reviews, and shape architectural decisions. Knowledge of DICOM/DICOMWeb standards or healthcare data integration workflows. Our Tech Stack Java and Spring Boot AWS DynamoDB Docker ...and more Ways of Working Operate within Motilent’s QMS, maintaining traceability and documentation as required by regulated More ❯

solution architecture, coding standards, and best practices. Collaborate with Solution Architects to validate the feasibility and scalability of technical designs. Lead technical reviews, including design reviews, code reviews, and integration strategies. Team Coordination & Leadership Coordinate work across cross-functional teams including developers, QA, business analysts, UI/UX designers, project managers, solution architect, process engineers, etc., Mentor and guide … Power Automate, Dataverse): Understanding of custom app development, connectors, and governance. Enterprise Tools: Experience with tools such as SharePoint, Dataverse, Dynamics 365, Azure DevOps. API Enterprise Service Bus and Integration Delivery & Project Management Experience End-to-End Solution Delivery: Proven experience managing full project lifecycles from initiation to deployment. Agile/Lean Delivery: Experience delivering in Agile environments, leading … influence senior stakeholders, including C-level executives. Business Acumen: Understands how technology impacts business outcomes and customer experience. Governance, Compliance & Quality Testing & QA: Knowledge of testing strategies including unit, integration, UAT, and performance testing. Audit and Documentation: Experience maintaining documentation, change logs, and audit trails. Technical Skills: Software Development Lifecycle (SDLC): Understanding of waterfall, agile (Scrum), and hybrid methodologies. More ❯