16 of 16 Permanent Azure Synapse Analytics Jobs in London

Senior Data Engineer Microsoft Azure data This is a new and exclusive opportunity for a Senior Data Engineer with strengths in Microsoft Azure data to be a key lead in strengthening, evolving, and modernising our core data platforms. Job details Title: Senior Data Engineer Technical Stack: Microsoft Azure … salary £50- £70,000 dependant on skills and location Requirements: Strong experience as a Senior Data Engineer in enterprise data environments. Technical stack: Microsoft Azure data platforms, including Azure Synapse or equivalent data platform, Azure SQL Server, Azure Data Factory, Azure DevOps This ...

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 ...

within the insurance sector. Key Responsibilities Shape Go to Market Propositions Contribute to evolution of our Insurance Technology Consulting propositions by embedding modern data, analytics & AI capabilities into market‐facing solutions. Collaborate with Insurance and Technology Consulting leaders to develop differentiated data‐led propositions. Apply emerging data capabilities … Claims, Pricing and Rating, Actuarial and Reserving, Capital Modelling, Finance and Regulatory Reporting. Candidates must be able to demonstrate how modern data platforms, governance, analytics, and AI capabilities can support decision‐making and operational improvement within these domains. Data & Technology Expertise Data Infrastructure & Platform Architecture – Strong understanding of modern ...

customers digital and data transformation journey using the modern cloud platforms.We specialise on using the latest frameworks, reference architectures and technologies using AWS, Azure and GCP along with various data platforms like Databricks, Snowflake, Quantexa, Palantir, SAS.The Focus Of The RoleAs a Solution Architect with an Azure … integral part of our team dedicated to building scalable and secure data platforms. You will leverage your expertise in Databricks, Apache Spark, and Azure to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations.What You Will Be DoingWe ...

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 ...

Data Analytics Architect Permanent - Remote (UK) with occasional travel to London £100k + bonus + benefits (depending on experience and level) All candidates must be eligible for Security Clearance (SC) Are you the kind of Analytics Architect who doesn’t just deliver solutions but defines how entire enterprise … data platforms should be built? We’re looking for experienced Architects to join a high-growth consultancy delivering large-scale cloud data and analytics transformations for major UK organisations. This isn’t a delivery-only role. You’ll be responsible for setting the architectural vision across complex, multi-system ...

demonstrable architecture and technical leadership experience Direct, hands-on expertise with dbt Deep proficiency across the Microsoft data stack, including: Microsoft Fabric Power BI Azure Synapse Azure Data Factory Working knowledge of Databricks Working knowledge of AWS environments (Redshift, RDS) Solid grounding in database technologies, API architecture ...

Develop, optimise and maintain SQL/T-SQL queries for efficient data processing and transformation Create and maintain scalable data models to support reporting, analytics and KPI measurement Monitor, troubleshoot and enhance data quality, platform performance and solution reliability Work collaboratively with business and technical stakeholders to deliver scalable … Experience designing and implementing data models for reporting and analytical requirements Experience using Python and/or PySpark, particularly within Fabric Notebooks Exposure to Azure data technologies such as Azure Data Factory, Synapse Analytics or Data Lake What's on Offer Salary ...

London, UK/HybridJob Type: FTEWe are seeking a highly experienced AI Consultant to design, implement, and drive enterprise-grade AI solutions on the Azure platform Microsoft AI Foundry. This role combines hands-on experience, solution architecture, and technical leadership, with responsibility for guiding teams and proactively supporting multiple … survey documents, correspondence).Experience applying Responsible AI frameworks in practice: bias assessment, fairness metrics, explainability techniques and model cards.Demonstrable hands-on experience with Microsoft Azure AI Foundry: project setup, model catalogue, evaluation frameworks, and deployment pipelines.Proficiency with Azure OpenAI Service: GPT model deployment, fine-tuning, content filtering ...

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 … 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 ...

forefront of Data & AI transformation. You'll work with major organisations to design and deliver next-generation data platforms that enable AI, advanced analytics and intelligent automation, while developing your own expertise in one of the fastest-growing areas of technology consulting. If you're passionate about cloud architecture … platforms that underpin AI-driven transformation. Your responsibilities will include: Designing and delivering secure, scalable and cost-effective cloud-native data platforms across AWS, Azure and GCP to support analytics, AI and operational workloads. Leading cloud transformation initiatives, migrating legacy environments to modern data platforms including Snowflake, Databricks ...

into IT solutions and delivering on them. Strong hands-on expertise in Databricks, PySpark, Python and SQL is central to this role. Key Skills Azure Stack ELT Experience Data Modeling Data Integration & Ingestion Data Manipulation and Processing GitHub, GitHub Actions, Azure DevOps Data Factory, Databricks, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, PyTest AI based Code developed and AI-built automated data pieplines Key Characteristics Technology expert who constantly pursues knowledge enhancement and has an inherent curiosity to understand work from multiple dimensions. Deep data focus with expertise across relevant technology domains. ...

expertise in core data architecture disciplines including data modelling, data analysis, metadata management, data transformation, data migration and master data. Experience in establishing data analytics and supporting AI solutions. Data quality/validation experience: designing metrics and KPIs to verify and automate management of data quality. Good working experience … e.g. S3, Kinesis, Glue, Redshift, Lambda and EMR) and/or Azure data services (e.g. ADF, Synapse, Fabric, Azure Functions). Desirable Skills Working experience in Data Lakehouse environments such as Databricks, Snowflake and/or Microsoft Fabric. Security Clearance Requirements The successful candidate must be eligible ...

into IT solutions and delivering on them. Strong hands-on expertise in Databricks, PySpark, Python and SQL is central to this role. Key Skills: Azure Stack ELT Experience Data Modeling Data Integration & Ingestion Data Manipulation and Processing GitHub, GitHub Actions, Azure DevOps Data Factory, Databricks, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, PyTest Key Characteristics Technology expert who constantly pursues knowledge enhancement and has an inherent curiosity to understand work from multiple dimensions. Deep data focus with expertise across relevant technology domains. A skilled communicator capable of engaging both technical developers and business ...

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 ...