11 of 11 Azure Synapse Analytics Jobs in Central London

Your responsibilities: Define target-state Azure AI reference architectures leveraging Azure AI Foundry , Azure OpenAI , and Azure AI Document Intelligence for enterprise use cases (IDP, GenAI copilots, knowledge retrieval). Establish standards for RAG architectures (vectorization, indexing, chunking, grounding, citation policies) using Azure Search … stores. Create architectural decision records (ADRs), guardrails, and reusable blueprints for solution teams. Lead end-to-end solution designs including API contracts, integration patterns (Azure Functions, Logic Apps, Event-driven), security boundaries, and observability. Architect document intelligence pipelines (classification/extraction/OCR/validation) and integrate with downstream ...

Data & Analytics Engineer Location: London (Hybrid, 3 days in office) Salary: £58,000–£62,000 We are seeking a skilled Data & Analytics Engineer to join a leading financial services and insurance client. You will play a key role in building, maintaining, and enhancing the company’s data systems … into actionable insights. About the Role: You will design and implement reporting solutions and business intelligence (BI) tools that improve data accessibility and strengthen analytics across the organisation. Working closely with internal teams and external partners, you will support the delivery of the company’s data strategy while producing ...

modern cloud-based data technologies. Role Overview As a Data Platform Engineer, you will design, build, and maintain scalable cloud-based data infrastructure using Azure and Databricks. You'll play a key role in ensuring that data pipelines, architecture, and analytics environments are reliable, performant, and secure. … Responsibilities Platform Development & Maintenance Design and implement data pipelines using Azure Data Factory, Databricks, and related Azure services. Build ETL/ELT processes to transform raw data into structured, analytics-ready formats. Optimise pipeline performance and ensure high availability of data services. Infrastructure & Architecture Architect and deploy ...

modern cloud-based data technologies. Role Overview As a Data Platform Engineer, you will design, build, and maintain scalable cloud-based data infrastructure using Azure and Databricks . Youll play a key role in ensuring that data pipelines, architecture, and analytics environments are reliable, performant, and secure. … Responsibilities Platform Development & Maintenance Design and implement data pipelines using Azure Data Factory , Databricks , and related Azure services. Build ETL/ELT processes to transform raw data into structured, analytics-ready formats. Optimise pipeline performance and ensure high availability of data services. Infrastructure & Architecture Architect and deploy ...

processes - including data extraction, transformation, and loading. Experience with database migration - validating and testing data movement across heterogeneous systems. Hands-on testing experience with Azure Data Factory - including pipelines, triggers, and data flows. Familiarity with Azure Synapse Analytics - understanding data warehousing concepts and testing strategies. Proficiency ...

Role Overview We are seeking an experienced Databricks Data Engineer to design and deliver cloud-based data integration and analytics solutions within our Insurance portfolio. This is a hands-on role focused on building scalable data pipelines, optimising performance, and applying best practices in data quality and governance within … requirements into robust, production-ready data solutions. Insurance domain experience is beneficial but not essential. Key Responsibilities Design and deliver scalable data pipelines using Azure Databricks, Azure Data Factory, and Azure SQL Build and maintain ETL/ELT processes and data quality frameworks Develop consistent data models ...

Title Senior Data Analyst (Service Delivery & AI Analytics) Department Service Delivery Location Remote or Hybrid (split between site-based and home-working) Country Flexible (UK/EU/US/Hong Kong) Level Individual Contributor Reports to Global Head of Service Delivery, IT & Repairs Contract Type Permanent/Full … decision-making across Reveal’s global service organisation. This role is responsible for extracting, transforming, analysing, and visualising data from multiple enterprise systems—including Azure, Salesforce, Halo ITSM, and repair/logistics platforms—to deliver high-quality insights for senior executives, sales teams, service delivery, engineering, product teams ...

Position: Azure Data Engineering Lead (Investment Platform) Salary: £170k per annum Industry: Investment firm Workplace: 1-2 days a week in the office Central London Our client are a global investment/pensions firm in the city of London. If you're able to lead the development … Data Engineering practice, design and implement databases and collections systems, specifically in Azure DevOps environment, then this is the ideal next step for you. Tech environment: Python, Spark, SQL Agile practices Enterprise experience building data pipelines and data warehouses Azure DevOps - CI/CD pipelines Azure Cloud ...

across the business globally. The Data Engineer will be joining a close knit friendly team that is the hub of our clients global data & analytics operation. The role would suit a mid-level data engineer, or a junior engineer with 2 years experience looking to take the next step … experience with MS Fabric would be beneficial but is by no means essential. Interested candidates must have experience in a similar role with MS Azure Data Platforms, Synapse, Databricks or other Cloud platforms such as AWS, GCP, Snowfake etc. Key Responsibilities will include; Design, implement, and optimize ...

paying up to £110,000 plus benefits. The Mission Own the Strategy: Design the architecture for ingestion, storage, and governance (moving to Databricks/Azure ). Build from Zero: Act as the most senior hands-on developer, writing production-grade Python/Spark code for core pipelines. Create Truth … Your Toolkit Expertise: 7+ years in Data Engineering with experience in a Lead or Principal capacity. Tech Stack: Deep knowledge of Databricks and the Azure ecosystem (ADF, Synapse, Cosmos DB). Coding: Expert-level Python and SQL ; experience with Terraform and containerization. Complexity: Comfortable handling scientific, geospatial ...

specialist who lives and breathes the Microsoft data stack. You should bring: Fabric Mastery: Deep, practical experience across the entire Fabric ecosystem (Data Factory, Synapse Data Engineering, Data Activator, etc.). The "Lake" Mindset: Expert knowledge of Delta Lake formats, Medallion Architecture, and OneLake integration. Coding Chops: Strong … PySpark skills for complex data transformations. Infrastructure & Security: Solid understanding of Entra ID (Azure AD) integration, Row-Level Security (RLS), and workspace permissions. Consulting Edge: The ability to translate complex technical requirements into clear business value for London’s leading enterprises. Why This Role? True Greenfield Work: No legacy ...