1 to 25 of 35 Azure Synapse Analytics Jobs in the Thames Valley

Engineer will play a key role in developing and maintaining Power BI reports and dashboards to support the business’s operational MI, while contributing to broader data initiatives within Azure Data Factory, Synapse Analytics, and the ongoing migration to Microsoft Fabric. This is a hands-on delivery role suited to a mid-level engineer with strong technical … environment. Key Responsibilities Build and maintain Power BI reports and dashboards that deliver accurate and timely insights for operational and business stakeholders. Develop, test, and maintain ETL pipelines in Azure Data Factory (ADF) to ensure reliable data integration and transformation. Work with Azure Synapse Analytics to model, query, and optimise data for analysis and reporting. Support … business teams to understand requirements and deliver fit-for-purpose solutions. Contribute to data quality checks, documentation, and continuous improvement across the data platform. Participate in Agile delivery using Azure DevOps for task management and version control. Technical Skills Power BI: Strong experience in developing and publishing reports, dashboards, and data models using DAX and Power Query. Azure More ❯

and reliable service to their continuously expanding client base. 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 practice in DAX, performance tuning, 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, ensuring adherence to engineering best practices. Participate in Agile delivery using Azure DevOps for backlog management, sprint planning, and CI/CD. Technical Skills Azure Data Factory: Expert in building, automating, and optimising ETL pipelines. Azure Synapse Analytics More ❯

areas, enabling us to provide our clients with an integrated end-to-end solution. Our solutions are based on the Dynamics 365, Microsoft 365, Copilot and Agents, Fabric and Azure range of products, which enables us to deliver powerful, connected business solutions that drive significant client value. The Role: Pre-Sales Data Solutions Architect – Microsoft Business Solutions (MBS) The … with clients and internal teams to define data architecture and strategy within the Microsoft ecosystem. Designing and presenting end-to-end Microsoft data architectures that integrate data technologies like Azure Synapse Analytics, Fabric and Power BI with Dynamics 365, Power Platform, AI Foundry, and Copilot Studio. Supporting sales and solution design processes by creating Microsoft-aligned proposals … all proposed data solutions align with Microsoft best practices and KPMG’s MBS vision. Collaborating with AI, Application, and Data Engineering teams to design AI-augmented data solutions leveraging Azure ML, AI Foundry, or OpenAI on Azure. Contributing to the Microsoft Partner ecosystem by staying current on new releases, patterns, and certifications across the Microsoft Data and AI stack. More ❯

business outcomes. Key Responsibilities: Technical Implementation of GenAI Capabilities Analyze, organize, and transform raw data into structured, usable formats. Build and maintain data systems, pipelines, and algorithms for advanced analytics and AI. Conduct complex data analysis to uncover trends, insights, and optimization opportunities. Prepare datasets for prescriptive and predictive modeling . Design, prototype, and validate GenAI applications aligned with … Machine Learning, or GenAI . Proven experience with fine-tuning and training LLMs , and developing Graph RAG solutions in production environments. Technical Expertise: Proficiency in cloud platforms – particularly Microsoft Azure and Databricks . Experience with tools and services such as: Azure Machine Learning, Azure AI Services, Azure OpenAI, AI Search, Data Lake Storage, Data Factory, Databricks … HDInsight, Azure Synapse Analytics, Azure SQL Database, Functions, and Azure DevOps. Strong programming skills in Python, Java, Scala, R, or .NET/C# . Proficiency in SQL and database design . Solid understanding of data models, data mining, analytics, and segmentation techniques . Experience with ETL pipelines and data transformation tools. Desirable/Nice More ❯

of their digital ecosystem. This is a greenfield opportunity to establish enterprise-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 can bridge business objectives with technical execution, translating data challenges into architectural solutions that drive competitive advantage in the financial services sector. Key Responsibilities: Shape the technology roadmap and create architectural guardrails that support business expansion and operational efficiency Design cloud foundations and service … 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 knowledge of Microsoft identity platforms (Entra ID), authentication frameworks, and collaboration suite administration Demonstrated success with information architecture, including More ❯

candidate will have a strong mix of business acumen, technical expertise, and excellent communication skills. Key Responsibilities: Client Engagement & Business Analysis Engage with business stakeholders to understand their reporting, analytics, and data visualization needs Conduct discovery workshops to gather requirements, define use cases, and assess data sources Translate business requirements into clear functional and technical specifications Provide recommendations on … Act as a trusted advisor to clients on Power ON strategies and future enhancements Qualifications Preferred Qualifications & Experience: Bachelor’s or Master’s degree in Mathematics, Computer Science, Data Analytics, Business Intelligence, or a related field Experience in Power BI development and business intelligence consulting Experience in the finance industry Microsoft Power BI certification (e.g., PL-300: Power BI … BI Service, DAX, and M Query) Experience designing data models and ETL processes within Power BI Proficiency in SQL for querying and transforming data from various sources Understanding of Azure services (e.g., Azure Synapse, Azure Data Factory, Azure SQL) Knowledge of Power Automate and Power Apps integration with Power BI Experience with non-Microsoft data More ❯

Role – Sr. Technology Architect Technology – Data Modelling, ERWIN Modelling, Azure Architect, PySpark Location – UK(London) Job Description Data Architect should have key understanding of building Data Models, Experience in Data Architecting and Engineering space on Spark, Pyspark, ADF, Azure Synapse and Data Lake. Your role In the role of a Sr Technology Architect, you will primarily be … application across multiple projects Involve in Discovery/solution planning discussions to define the solution roadmap. Guide the integration of legacy systems with new data pipelines and reporting/Analytics tools Required Should have minimum 14-15 years of experience in Information Technology with 7-8 years in technical design and architecting solutions. 7+ years of experience in technology … consulting, enterprise and solutions architecture and architectural frameworks, Data Modelling, Experience on ERWIN Modelling. 7+ years of hands-on experience in ADF, Azure Databricks, Azure Synapse, Spark, PySpark, Python/Scala, SQL. Hands on Experience in Designing and building Data Lake from Multiple Source systems/Data Providers. Experience on Data Modelling, architecture, implementation & Testing. Experienced in More ❯

Role – Sr. Technology Architect Technology – Data Modelling, ERWIN Modelling, Azure Architect, PySpark Location – UK(London) Job Description Data Architect should have key understanding of building Data Models, Experience in Data Architecting and Engineering space on Spark, Pyspark, ADF, Azure Synapse and Data Lake. Your role In the role of a Sr Technology Architect, you will primarily be … application across multiple projects · Involve in Discovery/solution planning discussions to define the solution roadmap. · Guide the integration of legacy systems with new data pipelines and reporting/Analytics tools Required · Should have hands on experience in Information Technology in technical design and architecting solutions. • Hand on experience in technology consulting, enterprise and solutions architecture and architectural frameworks … Data Modelling, Experience on ERWIN Modelling. • Hands on experience in ADF, Azure Databricks, Azure Synapse, Spark, PySpark, Python/Scala, SQL. • Hands on Experience in Designing and building Data Lake from Multiple Source systems/Data Providers. • Experience on Data Modelling, architecture, implementation & Testing. • Experienced in designing & implementation of End-to-End Data Engineering process using Azure More ❯

Job Title: Azure Databricks Data Engineer Primary skills: Advanced SQL, Azure Databricks, Azure Data Factory, Azure Datalake. Secondary skills: Azure SQL, PySpark, Azure Synapse. Experience: 10+ Years of Experience Hybrid - 3 Days/Week onsite is MUST About the job We are looking for an experienced Databricks Data Engineer to design, develop, and manage … data pipelines using Azure services such as Databricks, Data Factory, and Datalake. The role involves building scalable ETL solutions, collaborating with cross-functional teams, and processing large volumes of data. You will work closely with business and technical teams to deliver robust data models and transformations in support of analytics and reporting needs. • Responsibilities: • Design and develop ETL … pipelines using ADF for data ingestion and transformation. • Collaborate with Azure stack modules like Data Lakes and SQL DW to handle large volumes of data. • Write SQL, Python, and PySpark code to meet data processing and transformation needs. • Understand business requirements and create data flow processes that meet them. • Develop mapping documents and transformation business rules. • Ensure continuous communication More ❯

one or more of the following enterprise cloud systems - Anaplan, DealCloud, Workiva, Alteryx or Microsoft 365 Basic familiarity with technologies that underpin an enterprise data platform built using Microsoft Azure technologies (Azure Data Lake, Synapse Analytics, Data Factory, Purview, Power BI) Awareness or experience with Generative AI, Agentic AI, or automation technologies (eg, ChatGPT, Microsoft Copilot More ❯

Lead Data Engineer (Azure Stack) £95k + 10% bonus Hybrid – 1 day a week Central London I’m helping a growing fintech find their next Lead Data Engineer, they are looking for someone who loves building modern data platforms in Azure and wants to make a genuine impact. This role offers the best of both worlds by allowing … the architecture, mentor the team, and help drive a modern, data-driven culture all within a collaborative environment that values innovation and ownership. Tech you’ll be working with: Azure Data Lake Azure Synapse Databricks Data Factory Python, SQL, PySpark Terraform, GitHub Actions, CI/CD pipelines You’ll thrive here if you: Have strong experience building … and leading Azure-based data platforms Enjoy mentoring and guiding other engineers Love designing scalable, automated data pipelines Bring a hands-on approach and enjoy problem-solving Want to shape data strategy in a growing fintech If you’re an experienced Azure Data Engineer who enjoys leading without losing your hands-on edge, then this is a great More ❯

and normalisation principles. Skilled in creating impactful data visualisations and dashboards. Familiarity with data quality and governance principles . Desirable (or trainable) Experience: Tools such as Power BI , Alteryx , Azure Synapse , or Azure Fabric . Data modelling methodologies such as 3NF , Kimball , or Data Vault . If this sounds like an interesting position to you, please apply More ❯

Engineer (Databricks) to support the growth of a global technology provider within the Insurtech space. The role focuses on designing and delivering ETL pipelines and scalable solutions using the Azure ecosystem, with an emphasis on enabling advanced analytics and data-driven decision-making. As a key player in a high-performing data engineering team, you will contribute to … a team that invests in your growth, with comprehensive training and certification programs and a real opportunity to showcase your talents. Key Responsibilities Design and develop ETL pipelines using Azure Data Factory for data ingestion and transformation Work with Azure Data Lake, Synapse, and SQL DW to manage large volumes of data Develop data transformation logic using …/CD deployments, and agile delivery models Requirements 8+ years' experience in data engineering, ETL development and big data solutions Recent experience within Insurance Technology essential Solid expertise with Azure Databricks, Data Factory, ADLS, Synapse, and Azure SQL Strong skills in SQL, Python, and PySpark Solid understanding of DevOps, CI/CD, and Agile methodologies Excellent communication More ❯

This global logistics business, based in central London, is undergoing an exciting data transformation programme as it invests in a new team charged with building and implementing a new Azure Databricks platform. Working five days a week in the central London office, you'll join this growing team and play a key role in building and deploying modern Azure … an opportunity to build data solutions that have a significant impact on the performance of the business. Working closely with a multi skilled team of the Data Science, Engineers, Analytics and Analyst professionals, you will have the opportunity build your skills in analytics engineering, responding to business and project needs rather than operating as a narrow silo. You … ll work hands-on with Azure Databricks, Azure Data Factory, Delta Lake, and Power BI to design scalable data pipelines, implement efficient data models, and ensure high-quality data delivery. This is a fantastic opportunity to join a newly created team, work on new development projects and contribute to the implementation of a new data strategy. The Position More ❯

a highly capable and motivated Data Engineer to join a growing data team. This is a pivotal role, leading the migration of a data infrastructure from AWS to Microsoft Azure and shaping the future of their data platform. This role will play a key role in enabling seamless data integration, transformation, and reporting across diverse sources. This is a … hands on opportunity and perfect for someone who loves innovation, embraces change, and enjoys building robust, future-ready data solutions. Lead the migration of data infrastructure from AWS to Azure, defining the roadmap, proposing scalable Azure-native solutions, and collaborating with the Solution Architect and Head of Data. Design and build data pipelines into Azure (Data Lake … Synapse, Blob Storage, Azure SQL) to ingest structured, semi-structured, and unstructured data from multiple sources and APIs. Develop and optimise ETL/ELT workflows using Azure Data Factory, applying robust transformation logic, validation, and lineage tracking to support analytics and reporting. Modernise and manage databases , ensuring performance optimisation, governance standards, and scalable architecture across regions More ❯

is a greenfield opportunity to establish enterprise-wide data governance frameworks and design scalable data platforms. You'll be responsible for designing the firm’s architectural standards, enabling advanced analytics, AI/ML capabilities, and regulatory compliance while solving complex data integration, quality, and lineage challenges. You’ll have in-depth knowledge of Microsoft data technologies - including Azure Data Lake, Synapse Analytics, Fabric, and Power BI - be a strategic thinker who bridges business objectives with technical execution, translating data challenges into architectural solutions. Get in touch to learn more about this fantastic opportunity! Services offered by Computappoint Limited are those of an Employment Business and/or Employment Agency in relation to this vacancy. More ❯

Data Engineer – Azure, SQL, Databricks SDS yet to be determined - could be inside or outside Flexible day rate - 3-6 months Location: Hybrid (London-based) Type: Contract Industry: Consultancy We are looking for a skilled Data Engineer to join a fast-paced consultancy delivering data-driven solutions across a range of industries. This role is ideal for someone who … thrives in client-facing environments and enjoys working on varied, impactful projects. Key Responsibilities Design, build, and maintain scalable data pipelines using Azure Data Factory, Databricks, and SQL-based solutions. Develop and optimise ETL/ELT workflows to support analytics, reporting, and machine learning use cases. Work closely with clients to understand data requirements and translate them into … scientists, analysts, and software engineers to deliver end-to-end data solutions. Ensure data security, compliance, and governance standards are met across all projects. Required Skills Strong experience with Azure data services (Data Factory, Synapse, Blob Storage, etc.). Proficiency in SQL for data manipulation, transformation, and performance optimisation. Hands-on experience with Databricks (Spark, Delta Lake, notebooks More ❯

Role Overview: BW: Workplace Experts, a leading fit-out construction company based in Central London, is seeking a Data & Analytics Engineer to continue our journey towards leading the construction industry with data driven intelligent decisions. You will own the architecture, governance, and optimisation of BW’s Microsoft Fabric environment, design and deliver enterprise grade Power BI dashboards, and play … accuracy, consistency, and compliance across all systems. Partner with IT, operations, and commercial teams to drive adoption of data-driven decision-making. Mentor and support junior members of the analytics team, fostering technical excellence and collaboration. Champion best practices in data architecture, visualisation, and automation. Essential Skills: Proven experience architecting and supporting solutions within Microsoft Fabric (including Data Factory … Synapse, and OneLake). Advanced proficiency in Power BI, including DAX, Power Query (M), and data modelling. Deep understanding of data warehousing, ETL, and data lakehouse concepts. Strong working knowledge of Databricks, including Delta Lake and notebooks. Strong interpersonal skills with the ability to influence and communicate complex data topics clearly. Excellent analytical, organisational, and problem-solving abilities. Experience More ❯

each project’s context. Evaluate emerging tools, technologies, and design patterns to recommend optimal solutions. Guide the design and implementation of data platforms using cloud and hybrid environments (e.g. Azure, AWS). Oversee the design of data pipelines, APIs, and services to ensure efficient data flow and interoperability. Collaborate with Data Engineers and Developers to ensure alignment between architectural …/ELT, and data pipeline design. Hands-on experience with data lakehouse, warehouse, and streaming data architectures. Working knowledge of SQL, Python, and relevant data engineering frameworks (e.g. Databricks, Synapse, Snowflake, Redshift). Experience designing data platforms leveraging PaaS and SaaS solutions. Solid understanding of information governance, metadata management, and master data management principles. Experience leading data design across … sector digital standards and GDS practices. Experience in agile and DevOps delivery environments. Prior consultancy or client-facing experience, including pre-sales engagement. Certification in a major cloud platform (Azure Solutions Architect, AWS Certified Data Analytics, etc.). Knowledge of data engineering best practices and testing frameworks. Strong stakeholder engagement and consulting skills, including requirements elicitation and workshop More ❯

their customers are transformed through data and AI. The Role: We are seeking a Snowflake Data Engineer to lead the design, development and deployment of cloud data platforms and analytics solutions using Snowflake. This combines hands-on engineering, solution architecture and technical leadership. You will translate business requirements into scalable Snowflake solutions, guide project teams on best practices for … meet both functional and non-functional requirements such as scalability, security, reliability and cost optimisation Key Requirements & Technical Experience At least 3 years of experience in data engineering or analytics, including designing and delivering enterprise grade data solutions Strong hands-on experience with Snowflake (or comparable cloud data warehouses like BigQuery, RedShift, Synapse) including data modelling, performance tuning … SQL best practices, ELT patterns, and modern data transformation frameworks such as dbt Competence in at least one programming language (Python preferred) for automation. Experience with cloud platforms (AWS, Azure, or GCP), including security, IAM, and storage services Experience deploying and maintaining production pipelines using tools such as Airflow or Dagster Understanding of CI/CD principles, version control More ❯

Objectives & Outcomes Define and socialise target state architectures across Azure/AWS/GCP (networking, identity, landing zones, operations). Deliver reference architectures and reusable patterns for containerised, serverless, and data workloads. Establish/extend Cloud Landing Zones (policy, guardrails, RBAC, tagging, network segmentation). Lead migration and modernisation (re‐host/re‐platform/re‐factor) for priority … data, AI/ML, integration). Define multi‐cloud connectivity (hub‐and‐spoke, transit gateways, ExpressRoute/Direct Connect/Cloud Interconnect, SD‐WAN). Design identity and access (Azure AD/Microsoft Entra, AWS IAM, GCP IAM; SSO; workload identities). Platform Engineering Standardise Terraform modules; enforce code quality, policy‐as‐code (OPA/Conftest/Azure Policy). Build/optimise Kubernetes platforms (AKS/EKS/GKE), service mesh (Istio/Linkerd), ingress, and autoscaling. Implement CI/CD (GitHub Actions/Azure DevOps/GitLab), environment promotion, secrets management, artifact repos. Security & Compliance Define guardrails (CIS benchmarks), cloud security posture management (Defender for Cloud, AWS Security Hub, GCP SCC). Vaulting and More ❯

Objectives & Outcomes Define and socialise target state architectures across Azure/AWS/GCP (networking, identity, landing zones, operations). Deliver reference architectures and reusable patterns for containerised, serverless, and data workloads. Establish/extend Cloud Landing Zones (policy, guardrails, RBAC, tagging, network segmentation). Lead migration and modernisation (re‐host/re‐platform/re‐factor) for priority … data, AI/ML, integration). Define multi‐cloud connectivity (hub‐and‐spoke, transit gateways, ExpressRoute/Direct Connect/Cloud Interconnect, SD‐WAN). Design identity and access (Azure AD/Microsoft Entra, AWS IAM, GCP IAM; SSO; workload identities). Platform Engineering Standardise Terraform modules; enforce code quality, policy‐as‐code (OPA/Conftest/Azure Policy). Build/optimise Kubernetes platforms (AKS/EKS/GKE), service mesh (Istio/Linkerd), ingress, and autoscaling. Implement CI/CD (GitHub Actions/Azure DevOps/GitLab), environment promotion, secrets management, artifact repos. Security & Compliance Define guardrails (CIS benchmarks), cloud security posture management (Defender for Cloud, AWS Security Hub, GCP SCC). Vaulting and More ❯

concepts in business terms. Skilled in modelling tools, architecture repositories, and visual communication. Experience in assessing emerging technologies and their impact on enterprise architecture. Desirable Skills Experience with Microsoft Azure technologies (e.g., Data Factory, Synapse, ADLS, Databricks, Power BI). Understanding of enterprise data architecture and analytics platforms. More ❯

real impact. We’re looking for an Head of Data & BI to lead on the delivery of A2Dominion’s Data & BI Strategy. You’ll oversee governance, data quality, and analytics, building an operating model that enables the business to make better decisions through insight and innovation. You help us deliver our data Quality Action Plan in collaboration with the … business to drive continual data quality improvements. As the senior lead for data, you’ll manage a talented in-house team and external partners, ensuring our platforms, reporting and analytics capability are robust, secure, and future-focused. Key Responsibilities: Data Strategy & Culture – Develop and implement a sustainable Data & BI Strategy, aligned with IT and business priorities, and embed a … data-driven culture across the organisation. Data Governance & Quality – Establish standards, principles and processes for data stewardship, ensuring compliance, classification, and quality monitoring are embedded. Analytics & Insight – Design, build and manage data platforms and reporting solutions, including dashboards, KPIs and wider regulatory returns; self-service tools for senior leaders and operational teams. Security & Compliance – Working closely with the Cyber More ❯

real impact. We’re looking for an Head of Data & BI to lead on the delivery of A2Dominion’s Data & BI Strategy. You’ll oversee governance, data quality, and analytics, building an operating model that enables the business to make better decisions through insight and innovation. You help us deliver our data Quality Action Plan in collaboration with the … business to drive continual data quality improvements. As the senior lead for data, you’ll manage a talented in-house team and external partners, ensuring our platforms, reporting and analytics capability are robust, secure, and future-focused. Key Responsibilities: Data Strategy & Culture – Develop and implement a sustainable Data & BI Strategy, aligned with IT and business priorities, and embed a … data-driven culture across the organisation. Data Governance & Quality – Establish standards, principles and processes for data stewardship, ensuring compliance, classification, and quality monitoring are embedded. Analytics & Insight – Design, build and manage data platforms and reporting solutions, including dashboards, KPIs and wider regulatory returns; self-service tools for senior leaders and operational teams. Security & Compliance – Working closely with the Cyber More ❯