23 of 23 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 ...

Azure Data Engineer Rate - up to £350/day Outside IR35 Location - 2 days a week onsite in Central London Duration - 6 Months + Likely Extension We are working with a well-established consultancy supporting a high-impact data transformation programme for an end client based in Central London. … They are seeking an experienced Azure Data Engineer to join the project on an initial 6-month contract, with strong potential for extension. Key Responsibilities - Azure Data Engineer: Design, build and maintain scalable and secure data pipelines on the Azure platform. Develop and deploy data ingestion processes ...

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 ...

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 ...

Data Architect – Azure, Databricks & Snowflake Remote First (UK) | Monthly London Meetups | £100,000–£110,000 A fast-growing international fintech organisation is seeking an experienced Data Architect to lead the design and evolution of a modern cloud-native data platform. This is a senior-level opportunity to shape enterprise … wide data strategy and architecture across a highly scalable Azure and Snowflake ecosystem, supporting advanced analytics, AI/ML, business intelligence, and data-driven product innovation. You will take ownership of the organisation’s modern data architecture roadmap, designing secure, scalable, and high-performing platforms that enable analytics ...

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 ...

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 ...

accuracy and completeness Write, optimise and maintain SQL/T-SQL queries for efficient data transformation Develop and maintain data models to support reporting, analytics and KPI tracking Monitor and improve data quality, performance and reliability across platforms Collaborate with business and technical stakeholders to deliver scalable, high-impact … with both technical and non-technical stakeholders, translating business requirements into data solutions Experience with Python or PySpark, particularly within Fabric Notebooks Exposure to Azure data services such as Data Factory, Synapse or Data Lake Power BI experience, including supporting reporting and dashboarding requirements What's on Offer ...

/T-SQL at scale Confidence taking ownership of workstreams and mentoring junior team members Desirable for both: PySpark/Python in Fabric Notebooks, Azure Data Factory/Synapse/Data Lake, Power BI, AI/ML exposure, DP-600 or DP-203 certifications. With two roles live ...

Hybrid or Remote) About the Role We're looking for experienced Data Engineers at all levels—from Data Engineer through to Senior, Lead, Principal, Analytics Engineer and Data Platform Engineer positions—for upcoming roles across data pipelines, warehouses, lakehouses and the platforms that data teams depend on. These … hands-on engineering roles where you'll build and operate the foundations that analytics, BI, data science and ML all stand on. You'll work across the full data engineering lifecycle—from ingestion and modelling through to transformation, orchestration, quality, observability and platform operation. The role suits someone ...

Synapri are supporting Non-Profit Membership Organisation looking to hire a API & Integration Engineer to support and maintain integrations across Azure-based cloud platform, ensuring critical services remain secure, stable, and well-managed. You'll work across Azure API Management, Logic Apps, integrations, and Dynamics 365. Responsibilities: Design … build, and maintain integration flows using Azure Logic Apps and Azure Service Bus, Manage the source system access service for the data platform: provisioning service principals and API keys into Azure Key Vault Maintaining API documentation for each business system Conduct production deployment reviews for data pipeline ...

Build modern data platforms using Microsoft Fabric and Azure Remote first role with monthly trips to the office closest to you. Work with Microsoft Fabric, Azure, SQL and PySpark. Join a growing data function where you'll have real ownership and influence. We're working with a large … data products, integrating data from multiple source systems and ensuring data is accessible, reliable and fit for purpose. You'll work within a modern Azure environment and contribute to the ongoing development of the organisation's data platform.This isn't a role where you'll simply sit behind ...

clients Strong commercial acumen able to spot high-value opportunities and articulate ROI Solid grounding in modern data platforms, governance, and AI tooling; Microsoft Azure Data & AI experience (Azure OpenAI, Synapse, Fabric) preferred Understanding of GenAI risk, bias, accuracy, and compliance considerations Confident operating in ambiguity able ...

Data Mesh, Data Warehouse modernisation (Teradata/Oracle/Netezza to Snowflake/Databricks/BigQuery). Solid understanding of cloud data platforms: Microsoft Azure (Fabric, Synapse, ADLS), AWS (Redshift, Glue, Lake Formation), GCP (BigQuery, Dataproc, Dataplex). Strong working knowledge of AI/ML engineering, MLOps, LLMOps … executive advisory. Preferred Qualifications Advanced degree in Computer Science, Engineering, Data Science, or a related field. Certifications in Enterprise Architecture (TOGAF, ZACHMAN), Cloud (Azure Expert, AWS SA Pro, GCP Professional Data Engineer), or AI/ML platforms. Recognised industry thought leader with a public profile in enterprise ...