26 to 50 of 520 Azure Synapse Analytics Jobs in the UK

Microsoft Fabric Expertise: evidence of designing, developing, and maintaining data solutions using key Microsoft Fabric components (Lakehouse, Data Factory, Notebooks, Dataflow Gen2, OneLake). * Azure Ecosystem Knowledge: Strong experience with other Azure Data Services including Azure Databricks, Azure Data Factory, Azure Synapse Analytics and Azure SQL. Also requires knowledge of Azure DevOps CI/CD pipelines. * Data Modelling & ETL/ELT: Experience of implementing robust data models and developing efficient ETL/ELT processes using SQL and Azure Data Factory/Dataflow Gen2. * Power BI Development: Experience in designing ...

enthusiast with a passion for transforming raw information into meaningful insights? We’re looking for a talented Fabric/Data Consultant with expertise in Azure and Power BI to join our dynamic team. This role is perfect for someone who enjoys working with cutting-edge technology, developing robust data … unlock the full potential of their data, we’d love to hear from you. Essential Expertise: Proven experience in data engineering with exposure to Azure Synapse or Azure Data Factory or Databricks. Familiarity with Microsoft Fabric or a strong willingness to learn and adapt to its ecosystem. ...

engagement with a major insurance client. This is a hands-on technical role focused on designing, building, and optimising cloud-based data integration and analytics solutions in the insurance domain. This is an opportunity to work on complex, enterprise-scale data transformation programmes using cutting-edge Azure … Professional development and certification support Comprehensive benefits package including pension scheme and PMI Role and Responsibilities Design, build, and deploy scalable data pipelines using Azure Databricks, Azure Data Factory, and Azure SQL Database Optimise Databricks environments for performance, cost efficiency, and security Develop and maintain ETL/ ...

APAC. Our teams bring extensive cross-sector knowledge in critical technology areas such as mobility, software services, robotics, simulations, cybersecurity, AI, and data analytics, enabling clients to tackle complex challenges in today’s rapidly evolving markets. Scope: Akkodis is launching a new technical delivery team to drive … data-driven recruitment ecosystem. Through redesigning, building, and rolling out a sophisticated Big Data system, our diverse roles span across architecture, project management, data analytics, development, and technical support, giving you the chance to shape a dynamic, next-gen digital infrastructure. You’ll be integral to our mission ...

Data & Analytics Engineer Location: London (Hybrid, 3 days in office) Salary: £60,000–£65,000 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 ...

Data & Analytics Engineer Location: London (Hybrid, 3 days in office) Salary: £60,000–£65,000 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 ...

Data & Analytics Engineer Location: London (Hybrid, 3 days in office) Salary: £60,000–£65,000 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. 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. 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 ...

hiring Data Architect for London location JD Below ✅ Key Skills Technical Expertise Deep understanding of Azure Data Platform capabilities (Data Lake, Synapse Analytics, Data Factory, Databricks, Power BI). Knowledge of data architecture principles , data modeling, ETL/ELT processes, and cloud-native solutions. Familiarity with data … governance, security, and compliance in Azure environments. Project Management Proven ability to manage end-to-end technical projects with budgets, timelines, and stakeholder alignment. Expertise in Agile and Waterfall methodologies , sprint planning, and resource allocation. Strong risk management , issue resolution, and change control skills. Customer Engagement Excellent communication ...

hiring Data Architect for London location JD Below ✅ Key Skills Technical Expertise Deep understanding of Azure Data Platform capabilities (Data Lake, Synapse Analytics, Data Factory, Databricks, Power BI). Knowledge of data architecture principles , data modeling, ETL/ELT processes, and cloud-native solutions. Familiarity with data … governance, security, and compliance in Azure environments. Project Management Proven ability to manage end-to-end technical projects with budgets, timelines, and stakeholder alignment. Expertise in Agile and Waterfall methodologies , sprint planning, and resource allocation. Strong risk management , issue resolution, and change control skills. Customer Engagement Excellent communication ...

Data Solution Architect - Microsoft Azure Data Services Microsoft Fabrics, Databricks, and Azure AI - Presales UK (Hybrid) - Must be SC Cleared or eligible for SC Clearance - no sponsorship Permanent What You’ll Do Lead the data architecture workstream throughout the pre-sales cycle , helping customers envision innovative, scalable, value … driven solutions. Design and present end-to-end architectures leveraging Microsoft Azure cloud data services , including Microsoft Fabric, Azure Synapse Analytics, Power BI, Databricks, and Azure AI Foundry. Shape business cases, commercial models, and bid content that clearly articulate technical feasibility and measurable business outcomes. ...

Azure Data Architect/DBA/SQL Server 2016/2022/YSQL/ADF/ADL/Fabric. Superb London based client with a site in Birmingham have an urgent need for an experienced Azure/SQL Server Data Architect. 12 months, Inside IR35, Remote, with some … Server 2016 & 2022 (engine internals, performance, HA/DR); T-SQL development, stored procedures, triggers, and query optimization; SSIS (package design, orchestration, deployment); Azure Data Factory (pipelines, triggers, integration runtimes); Azure Data Lake Storage (Gen2, security, folder structures); Microsoft Fabric (Lakehouse, OneLake, Data Engineering); Databricks (Spark SQL, notebooks ...

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 … 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 ...

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 … 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 ...

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 … 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 ...

Title: SQL Data Architect - Azure Stack Location: Remote with occasional travel to Birmingham Salary/Rate: Up to £600 per day inside IR35 Start Date: 12/01/2026 Job Type: Contract - 12 months Company Introduction: We have an exciting opportunity now available with one of our sector … Server 2016 & 2022 (engine internals, performance, HA/DR); T-SQL development, stored procedures, triggers, and query optimization; SSIS (package design, orchestration, deployment) Azure Data Factory (pipelines, triggers, integration runtimes); Azure Data Lake Storage (Gen2, security, folder structures); Microsoft Fabric (Lakehouse, OneLake, Data Engineering); Databricks (Spark SQL, notebooks ...

seeking a highly accomplished and results-oriented Senior Data Scientist Subject Matter Expert (SME) with over 10 years of experience to lead our advanced analytics and AI initiatives. This is a pivotal role requiring deep technical mastery across large-scale Big Data technologies, multi-cloud environments, and cutting-edge … model training and inference. Cross-Cloud Execution: Lead the design and deployment of ML models and data infrastructure across multiple major cloud providers (AWS, Azure, and GCP), ensuring portability, scalability, and cost efficiency. Specialized Model Development: Lead hands-on development, fine-tuning, and deployment of production-grade models ...

seeking a highly accomplished and results-oriented Senior Data Scientist Subject Matter Expert (SME) with over 10 years of experience to lead our advanced analytics and AI initiatives. This is a pivotal role requiring deep technical mastery across large-scale Big Data technologies, multi-cloud environments, and cutting-edge … model training and inference. Cross-Cloud Execution: Lead the design and deployment of ML models and data infrastructure across multiple major cloud providers (AWS, Azure, and GCP), ensuring portability, scalability, and cost efficiency. Specialized Model Development: Lead hands-on development, fine-tuning, and deployment of production-grade models ...

seeking a highly accomplished and results-oriented Senior Data Scientist Subject Matter Expert (SME) with over 10 years of experience to lead our advanced analytics and AI initiatives. This is a pivotal role requiring deep technical mastery across large-scale Big Data technologies, multi-cloud environments, and cutting-edge … model training and inference. Cross-Cloud Execution: Lead the design and deployment of ML models and data infrastructure across multiple major cloud providers (AWS, Azure, and GCP), ensuring portability, scalability, and cost efficiency. Specialized Model Development: Lead hands-on development, fine-tuning, and deployment of production-grade models ...

seeking a highly accomplished and results-oriented Senior Data Scientist Subject Matter Expert (SME) with over 10 years of experience to lead our advanced analytics and AI initiatives. This is a pivotal role requiring deep technical mastery across large-scale Big Data technologies, multi-cloud environments, and cutting-edge … model training and inference. Cross-Cloud Execution: Lead the design and deployment of ML models and data infrastructure across multiple major cloud providers (AWS, Azure, and GCP), ensuring portability, scalability, and cost efficiency. Specialized Model Development: Lead hands-on development, fine-tuning, and deployment of production-grade models ...

seeking a highly accomplished and results-oriented Senior Data Scientist Subject Matter Expert (SME) with over 10 years of experience to lead our advanced analytics and AI initiatives. This is a pivotal role requiring deep technical mastery across large-scale Big Data technologies, multi-cloud environments, and cutting-edge … model training and inference. Cross-Cloud Execution: Lead the design and deployment of ML models and data infrastructure across multiple major cloud providers (AWS, Azure, and GCP), ensuring portability, scalability, and cost efficiency. Specialized Model Development: Lead hands-on development, fine-tuning, and deployment of production-grade models ...

seeking a highly accomplished and results-oriented Senior Data Scientist Subject Matter Expert (SME) with over 10 years of experience to lead our advanced analytics and AI initiatives. This is a pivotal role requiring deep technical mastery across large-scale Big Data technologies, multi-cloud environments, and cutting-edge … model training and inference. Cross-Cloud Execution: Lead the design and deployment of ML models and data infrastructure across multiple major cloud providers (AWS, Azure, and GCP), ensuring portability, scalability, and cost efficiency. Specialized Model Development: Lead hands-on development, fine-tuning, and deployment of production-grade models ...