1 to 25 of 38 Permanent Azure Synapse Analytics Jobs in London

RESPONSIBILITIES Identify and understand customer data-centric use cases within regulated financial services environments Design and implement data ingestion, processing, and transformation pipelines on Azure Build and maintain data pipelines for cleaning, normalisation, enrichment, and preparation Apply appropriate data modelling techniques and architecture patterns, with a strong focus … medallion architecture Orchestrate, monitor, and optimise Azure Databricks jobs and Azure Data Factory pipelines across development, UAT, and production environments Configure platforms, clusters, and compute resources to optimise performance, cost, and reliability Use automated CI/CD pipelines to manage, deploy, and version data artefacts and pipelines Operationalise ...

About the Job you are considering: We are looking for an experienced Data Architect with strong expertise in Azure Databricks, Azure Data Factory, Azure Data Lake, Delta Lake, data modelling, data governance, and cloud data architecture, along with domain experience in London Market Insurance. The candidate will … defining and delivering scalable data architecture solutions for insurance transformation programmes covering underwriting, claims, policy administration, bordereaux, delegated authority, premium processing, regulatory reporting, reinsurance, analytics, and data migration.The ideal candidate should have strong hands-on architecture experience in Azure-based data platforms and should be able to work ...

Hybrid (Brentford, 1 Day per Week) I'm working with a forward-thinking organisation that is making significant investment in its data, analytics, AI, and automation capabilities. As part of a major digital transformation programme, they are looking to hire an experienced Data Engineer to play a key role … join a business that views data as a strategic asset and is committed to building a modern, scalable data platform that will support advanced analytics, business intelligence, and future AI initiatives. The successful candidate will work closely with technical and business stakeholders, helping to design, build, and optimise data ...

translate initial scope into actionable, commercially sound engagements. Build relationships across WWT to scope and deliver cross‐functional solutions spanning Digital, Security, AI, Analytics, Automation, and Enterprise Architecture. Spearhead the strategic design of innovative solutions by leveraging deep knowledge of the Microsoft ecosystem and the UK enterprise technology landscape. … solution client engagements with rigour and commercial clarity. Represent WWT's technical expertise to clients and internal teams through deep knowledge of Microsoft Azure, Copilot, and associated AI platform services. Maintain expert‐level knowledge of WWT's solution offerings and complete relevant Microsoft certification programmes as applicable. Stay current ...

will be responsible for designing, building, and optimising a scalable global data estate that integrates critical legal practice management systems with cutting-edge analytics platforms. The ideal candidate possesses deep expertise in Aderant (expert-level understanding of its underlying data structures and schemas) and a proven track record … tailored for legal metrics (e.g., lockup, realisation rates, WIP, billable hours, and utilisation). Ensure strict data governance, security, and compliance across global jurisdictions. Analytics Enabler: Partner with Business Intelligence (BI) teams to deliver clean, curated, and near-real-time data products, enabling advanced reporting and AI-driven insights ...

Azure Data Engineer London (Hybrid) You'll design and build scalable, automated data pipelines that bring together information from across the organisation. It's a hands-on engineering role covering everything from data ingestion to transformation, modelling and delivery, all within a modern Azure environment. You'll report … join our Data Engineering Team, working alongside architects, analysts, testers and agile delivery squads. Responsibilities: * Build and maintain scalable, automated data pipelines using Azure tools like Data Factory, Databricks and Logic Apps * Ingest, transform and model data from multiple sources into our enterprise data platform * Optimise data flows ...

contributing to AI-driven initiatives using OpenAI APIs. The ideal candidate will have solid exposure to modern data engineering practices, cloud platforms (Azure), and a passion for building intelligent, data-driven solutions. Key Responsibilities Design and develop real-time and ETL/ELT data pipelines integrating multiple data sources … scalable data warehouse for reporting and analytics. Build and enhance Power BI dashboards and reports for business stakeholders. Develop data integration workflows using Azure Data Factory, Logic Apps, and Azure Functions . Perform data processing and transformation using Python and SQL . Contribute to AI-driven solutions using ...

best suited to an experienced engineer with a strong background in Informatica-based data engineering , complemented by hands-on experience across AWS and Azure data platforms. Working as part of a multidisciplinary delivery team, you will collaborate with architects, analysts, developers, and business stakeholders to deliver reliable and maintainable … data ingestion, transformation, and delivery processes that support operational and analytical use cases. Cloud Data Engineering Develop and optimise data solutions across AWS and Azure platforms. Work with cloud services to improve scalability, resilience, and operational efficiency. Apply security best practices when managing data storage, processing, and access. Essential ...

technology and build a more sustainable, more inclusive world. Your Role: We are looking for an experienced Data Architect with strong expertise in Azure Databricks, Azure Data Factory, Azure Data Lake, Delta Lake, data modelling, data governance, and cloud data architecture, along with domain experience in London … defining and delivering scalable data architecture solutions for insurance transformation programmes covering underwriting, claims, policy administration, bordereaux, delegated authority, premium processing, regulatory reporting, reinsurance, analytics, and data migration. The ideal candidate should have strong hands-on architecture experience in Azure-based data platforms and should be able ...

transform how they operate, innovate and make decisions. Our solutions span Dynamics 365, Microsoft 365, Power Platform, Copilot and Agent technologies, Microsoft Fabric and Azure, enabling us to deliver connected, intelligent and responsible business solutions at scale. The Role: Microsoft Agentic Data Lead – Microsoft Business Solutions (MBS) The Microsoft … Lead senior client conversations on data-led AI and agentic transformation using Microsoft technologies. · Design and oversee end-to-end Microsoft architectures spanning Fabric, Azure data services, D365, Power Platform and Copilot. · Ensure delivery quality, consistency and scalability across all Microsoft data and agentic engagements. · Work closely with Microsoft ...

home; noting that you will be unable to work at home 100% of the time. Your Role: Define end-to-end data architecture for Azure-based data platforms using Azure Databricks, Azure Data Factory, ADLS Gen2, Delta Lake, Azure Synapse, and Power BI. Design scalable … secure lakehouse architecture using bronze, silver, and gold data layers. Lead architecture and design for data ingestion, transformation, curation, data marts, reporting, and analytics solutions. Create high-level and low-level data architecture documents, data flow diagrams, integration architecture, and data platform blueprints. Define architecture patterns for batch, incremental ...

skilled and motivated Data Engineer with Insurance experience to play a key role in the creation of a brand-new data platform within the Azure ecosystem and Databricks . This is an exciting opportunity to be at the forefront of data innovation, working within a newly formed Data & Analytics … platform, ensuring adaptability for new data sources, analytical models, and emerging technologies. What You’ll Bring ✅ Extensive hands-on experience with Databricks , and Microsoft Azure data tools (must-have: Azure Data Factory, Azure Synapse, or Azure SQL). ✅ Dimensional modelling/DWH Design ✅ Medallion Architecture ...

Databricks Specialist Data, Analytics & AI | Senior Individual Contributor Location: Manchester(preferred) And London 3 days onsite Shape the Future of Enterprise Data & AI Perm role 60000-80000 annually We are looking for an experienced Databricks Specialist to become the technical owner of a large-scale Azure Databricks platform … heart of a rapidly growing Data, Analytics & AI practice. This is a high-impact opportunity for a Databricks expert who enjoys combining platform engineering, data governance, cloud architecture, and AI innovation. You will play a pivotal role in driving the adoption of modern data engineering standards, enterprise governance frameworks ...

queries , stored procedures, and ETL workflows Translate business needs into technical BI solutions by working closely with stakeholders Model and structure data for analytics aligned with London Market standards Integrate and reconcile data from multiple sources including bordereaux and third-party feeds Ensure data quality and compliance through validation … Power Query) and building impactful dashboards Advanced SQL (T-SQL preferred) for managing and querying relational databases Experience with ETL tools (SSIS, Azure Data Factory, or similar) Strong data modelling skills (star/snowflake schema) Familiarity with Azure SQL, Synapse Analytics , or other cloud platforms ...

that support business-critical decision-making. Essential to this role are strong python skills, expertise in MS Fabric, SQL, data warehousing, Data Lake and Azure technologies. The Role As the Lead Data Engineer, you will be responsible for designing, developing, and maintaining modern data solutions using Microsoft Fabric … Azure technologies. You will contribute to the development of engineering standards, optimise platform performance, and support the adoption of secure, scalable, and observable data architectures. Working closely with stakeholders, product owners, analysts, data scientists, and platform specialists, you will play a key role in delivering high-quality data products ...

reporting. Acting as the technical point of contact during the Monthly, Quarterly and Year-end Close process. Design and build scalable ETL workflows using Azure Data Factory and Databricks, replacing legacy SSIS pipelines. Identifying opportunities to harden and automate manual steps within the Finance Close workflow Conduct … environments. Collaborate with IT and business stakeholders to fix data issues, gather requirements and produce technical documentation. Establish CI/CD best practices using Azure DevOps. Key Requirements Experience of supporting the Phinsys System is highly desirable. Hands-on experience of Cloud based platforms and technologies such as Synapse ...

About the Opportunity Our client is a leading cloud, data, and AI consultancy that helps organisations transform their businesses through modern data platforms, advanced analytics, and machine learning solutions. Working with enterprise clients across multiple industries, they design and deliver innovative cloud-native solutions that enable businesses to unlock … digital transformation. This is an opportunity to join a highly skilled team of data professionals working at the forefront of cloud technologies, data engineering, analytics, and AI. The Role As a Principal Data Architect, you will play a key role in designing and delivering modern, scalable data platforms ...

premises and cloud environments Good understanding of relational database theory and technology Knowledge and experience of working in the Microsoft BI Stack (e.g. Azure Data Factory, Azure Synapse, Power BI) Able to manipulate, analyse, and interpret complex data in a structured manner, and draw conclusions, whilst having ...

currently undergoing an ambitious transformation of their data and technology function, with substantial investment being made into modern cloud technologies, data platforms, and analytics capabilities. This transformation is enabling the organisation to unlock greater value from its data, improve operational insight, and support critical decision-making that … including Dynamics 365, into the enterprise data warehouse Leading data migration, cleansing, modelling, and transformation activities Supporting the evolution of data platform architecture using Azure technologies Ensuring strong data governance, quality, and documentation standards Collaborating with BI teams to enable high-quality reporting and analytics delivery YOUR SKILLS ...

including Dynamics 365, into the enterprise data warehouse Leading data migration, cleansing, modelling, and transformation activities Supporting the evolution of data platform architecture using Azure technologies Ensuring strong data governance, quality, and documentation standards Collaborating with BI teams to enable high-quality reporting and analytics delivery YOUR SKILLS … EXPERIENCE: You will bring strong capability in: Microsoft SQL Server and data warehousing (Synapse/Fabric/Azure SQL) Azure Data Factory, Databricks, and modern ETL tooling Data modelling, data migration, and large-scale data transformation Building and maintaining cloud-based data platforms Working within Agile delivery ...

translating requirements into solution blueprints, proposals, and presentations. Enterprise Solution Design – Architect end-to-end data and cloud solutions across platforms such as Azure, AWS, GCP, Databricks, Snowflake, Synapse, or Azure Fabric. Cloud Strategy & Adoption – Define and lead cloud migration, modernisation, and optimisation strategies using tools such … Terraform, Azure DevOps, and CI/CD pipelines. Data Products & Transformation – Position reusable data products and architectures that drive measurable transformation aligned to banking sector priorities. Client Advisory & Engagement – Act as a trusted advisor, leading workshops and influencing senior stakeholders on strategy, roadmaps, and innovation. ETL/ELT & Data ...

Responsibilities Define and own the multi-year roadmap for Systems of Execution (WMS, TMS, OMS) and Systems of Intelligence (demand planning, supply optimization, decision analytics). Architect transformation from monolithic legacy systems to composable, API-first, cloud-native SaaS using microservices and event-driven design. Embed AI/… strategy for forecasting, inventory optimization, routing, supplier risk, and digital twins. Deploy generative AI across product features (LLM assistants, automated reporting, anomaly explanation, conversational analytics). Build agentic AI frameworks for autonomous supply chain actions and integrate privacy-preserving and sandboxing patterns. Run an innovation lab for rapid POCs ...

Data Analytics Engineer | Hybrid | Basingstoke We're working with a growing financial services business looking to bring in a Data Analytics Engineer to help build out their data platform from the ground up.You'll own the end-to-end lifecycle of data products - ingestion, modelling and presentation - working … they can actually use and act on. What you'll be doing: Designing and building performant data ingestion pipelines using Apache Spark, ideally within Azure Databricks Contributing to the platform's data modelling and architecture Building dashboards and semantic models, and presenting these directly to stakeholders Working across ...

Data Analytics Engineer Hybrid Basingstoke We're working with a growing financial services business looking to bring in a Data Analytics Engineer to help build out their data platform from the ground up. You'll own the end-to-end lifecycle of data products - ingestion, modelling and presentation … they can actually use and act on. What you'll be doing: Designing and building performant data ingestion pipelines using Apache Spark, ideally within Azure Databricks Contributing to the platform's data modelling and architecture Building dashboards and semantic models, and presenting these directly to stakeholders Working across ...

complex problems, and connecting business outcomes to what actually gets built. Responsibilities as a Senior Data Scientist: • Build and deploy predictive models and advanced analytics solutions for high-value use cases • Define the features, datasets and structures required for modelling, working closely with the Lead Data Modeller and Data … statistical analysis • Strong proficiency in Python and SQL, with experience in Spark SQL • Familiarity with cloud platforms and distributed computing tools such as Azure Synapse, Snowflake, or Databricks • Ability to work with large datasets and complex data structures • Strong background in applying statistical and machine learning techniques ...