1 to 25 of 272 Azure Synapse Analytics Jobs in the UK

Role Overview: We are seeking a highly skilled and experienced Senior Azure Data Engineer to join our team. In this role, you will lead the design, development, and maintenance of scalable data solutions in Microsoft Azure. You will work closely with cross-functional teams to transform complex data into actionable insights, driving business decisions and innovation. This is a … which is based in Burton-on-Trent, Staffordshire. Key Responsibilities: Data Architecture and Design: Design, develop, and implement end-to-end data pipelines in Azure. Architect data solutions using Azure Data Lake, Azure Synapse Analytics, and Azure Databricks. Ensure solutions are scalable, efficient, and aligned with business objectives. ETL/ELT Processes: Build and optimize … ETL/ELT pipelines using Azure Data Factory (ADF). Develop data ingestion processes for structured and unstructured data sources. Data Modelling and Warehousing: Design and implement enterprise data models and data warehousing solutions. Optimize data models for performance and scalability in Azure environments. Data Governance and Security: Implement data governance best practices, ensuring data quality and consistency. More ❯

And may also supervise other support staff members, along with serving as the liaison for external contractors or service providers. Role Accountabilities Responsible for owning the MI, BI and Analytics relationship and working closely with operational leaders to ensure all reporting meets the business requirements. Importantly, this role must ensure that these functions are carried out in line with …/Claims). Ensure that data is well-structured and of sufficient quality so that it can be leveraged to provide meaningful insights Help to define a data and analytics strategy which makes optimal use of business data according to industry best practice Utilise knowledge of insurance industry processes combined with the effective use of data to aid decision … Mapping skills, knowledge of Data Warehousing Concepts, and Logical Modelling Skills. Strong Business Analyst skills, including process mapping, requirements gathering,and stakeholder management Previous experience and good understanding of Azure data tools Proficient in Power BI Proven ability to motivate and influence small and/or large technical teams Experience of working to defined strategies and goals, taking ownership More ❯

Senior Data Engineer – Azure Platform Overview Amtis is proud to be recruiting for an exciting opportunity to join a forward-thinking data team. This role is ideal for a technically skilled and proactive data engineer passionate about building scalable, secure, and high-performing data solutions in Azure. You’ll play a key role in shaping the data strategy, enhancing … platform capabilities, and supporting business intelligence initiatives. Key Responsibilities Design and develop Azure data pipelines using Data Factory, Databricks, and related services. Implement and optimize ETL processes for performance, reliability, and cost-efficiency. Build scalable data models and support analytics and reporting needs. Design and maintain Azure-based data warehouses and data lakes. Ensure data governance, security … and compliance with GDPR and other regulations. Collaborate with cross-functional teams to gather requirements and deliver solutions. Manage Azure SQL databases, including performance tuning and monitoring. Monitor and maintain data infrastructure, resolving issues proactively. Document technical designs and share knowledge through training and code reviews. Contribute to big data analytics and machine learning initiatives. Continuously improve platform More ❯

Senior Data Engineer – Azure Platform Overview Amtis is proud to be recruiting for an exciting opportunity to join a forward-thinking data team. This role is ideal for a technically skilled and proactive data engineer passionate about building scalable, secure, and high-performing data solutions in Azure. You’ll play a key role in shaping the data strategy, enhancing … platform capabilities, and supporting business intelligence initiatives. Key Responsibilities Design and develop Azure data pipelines using Data Factory, Databricks, and related services. Implement and optimize ETL processes for performance, reliability, and cost-efficiency. Build scalable data models and support analytics and reporting needs. Design and maintain Azure-based data warehouses and data lakes. Ensure data governance, security … and compliance with GDPR and other regulations. Collaborate with cross-functional teams to gather requirements and deliver solutions. Manage Azure SQL databases, including performance tuning and monitoring. Monitor and maintain data infrastructure, resolving issues proactively. Document technical designs and share knowledge through training and code reviews. Contribute to big data analytics and machine learning initiatives. Continuously improve platform More ❯

Be Doing Lead and coordinate a team of MI Analysts, Data Analysts, and BI Developers to deliver insightful analysis and reporting supporting business managers. Own the MI, BI, and Analytics function, working with operational leaders to ensure reporting meets business needs. Ensure compliance with policies, procedures, legislative, and regulatory requirements while maintaining excellent internal customer service. Develop and execute … plus. Proficient in SQL, R or Python, data visualisation, statistical programming, and data science techniques. Strong understanding of data warehousing, data mapping, logical modelling, and business analysis. Experience with Azure data tools and Power BI. Proven ability to lead and influence technical teams. Experience with project management and Agile methodologies. Strong communication skills, capable of explaining technical concepts to … technical audiences. Problem-solving skills with a business focus and stakeholder management experience. Knowledge of change management and systems processes. Comfortable with cloud platforms and Microsoft stack tools like Synapse, Databricks, Azure Data Factory, and Azure DevOps. Programming experience in Python, SQL, T-SQL, and SSIS. Understanding of ELT/ETL processes, RESTful APIs, and integration concepts. More ❯

Be Doing Lead and coordinate a team of MI Analysts, Data Analysts, and BI Developers to deliver insightful analysis and reporting supporting business managers. Own the MI, BI, and Analytics function, working with operational leaders to ensure reporting meets business needs. Ensure compliance with policies, procedures, legislative, and regulatory requirements while maintaining excellent internal customer service. Develop and execute … plus. Proficient in SQL, R or Python, data visualisation, statistical programming, and data science techniques. Strong understanding of data warehousing, data mapping, logical modelling, and business analysis. Experience with Azure data tools and Power BI. Proven ability to lead and influence technical teams. Experience with project management and Agile methodologies. Strong communication skills, capable of explaining technical concepts to … technical audiences. Problem-solving skills with a business focus and stakeholder management experience. Knowledge of change management and systems processes. Comfortable with cloud platforms and Microsoft stack tools like Synapse, Databricks, Azure Data Factory, and Azure DevOps. Programming experience in Python, SQL, T-SQL, and SSIS. Understanding of ELT/ETL processes, RESTful APIs, and integration concepts. More ❯

Job Title: QA Tester – ETL Testing (Informatica) & Azure Data Engineering Location: Westminster, London Type: Full-time Department: Quality Assurance/Data Engineering Reporting to: Data Engineering Lead Job Summary: We are looking for a skilled and detail-oriented QA Tester with hands-on experience in ETL testing (Informatica or Microsoft Fabric) and a strong understanding of Azure Data … Engineering tools such as Azure SQL Database , Azure Blob Storage , and Azure Data Factory . The ideal candidate will possess good hands-on knowledge of writing and executing SQL queries to validate data across systems. Experience in Microsoft Fabric is considered a strong bonus. Key Responsibilities: Perform ETL/data pipeline testing using Informatica PowerCenter or IICS … . Validate data ingestion , transformation , and loading processes across Azure services. Execute source-to-target data validation , data profiling, and data reconciliation. Write and execute complex SQL queries to validate data transformations, aggregations, and business rules in Azure SQL Database and other relational platforms. Test data flows and integrations involving: Azure Data Factory (ADF) Azure Blob More ❯

Job Title: QA Tester – ETL Testing (Informatica) & Azure Data Engineering Location: Westminster, London Type: Full-time Department: Quality Assurance/Data Engineering Reporting to: Data Engineering Lead Job Summary: We are looking for a skilled and detail-oriented QA Tester with hands-on experience in ETL testing (Informatica or Microsoft Fabric) and a strong understanding of Azure Data … Engineering tools such as Azure SQL Database , Azure Blob Storage , and Azure Data Factory . The ideal candidate will possess good hands-on knowledge of writing and executing SQL queries to validate data across systems. Experience in Microsoft Fabric is considered a strong bonus. Key Responsibilities: Perform ETL/data pipeline testing using Informatica PowerCenter or IICS … . Validate data ingestion , transformation , and loading processes across Azure services. Execute source-to-target data validation , data profiling, and data reconciliation. Write and execute complex SQL queries to validate data transformations, aggregations, and business rules in Azure SQL Database and other relational platforms. Test data flows and integrations involving: Azure Data Factory (ADF) Azure Blob More ❯

to Microsoft Fabric, including hands-on development and implementation of a robust strategy for transitioning datasets, ETL pipelines, and reporting solutions to the cloud. Build scalable ETL processes using Azure Data Factory, Azure Synapse, and other Fabric-native tools, ensuring a smooth integration between the on-prem and future cloud environments. Design and implement Azure-based … data architecture, leveraging tools like Azure Data Lake, Azure Synapse Analytics, and Fabric’s data capabilities to future-proof the platform. Utilise Azure tools such as Synapse Analytics, Logic Apps, and Azure Functions to streamline data processing and orchestration across the business. Empower stakeholders to build their own reports and dashboards by … self-service capabilities. Required Background Extensive experience in maintaining and optimising on-premises SQL Server data warehouses, focusing on stored procedures, indexing, partitioning, and load performance. An understanding of Azure cloud tools such as Azure Synapse Analytics, Azure Data Lake, Azure Data Factory, and Logic Apps Proficiency in writing advanced SQL queries, stored procedures More ❯

/LeadData Engineer to join their growing data team. This role will be instrumental in designing, building, and maintaining a modern data warehouse and data infrastructure to support advanced analytics and reporting needs for a fast-growing organisation. Key Responsibilities: Design, develop, and maintain scalable data pipelines using SQL and Python (PySpark) . Ingest, transform, and curate data from … multiple sources into Azure Data Lake and Delta Lake formats. Build and optimize datasets for performance and reliability in Azure Databricks . Collaborate with analysts and business stakeholders to translate data requirements into robust technical solutions. Implement and maintain ETL/ELT pipelines using Azure Data Factory or Synapse Pipelines . Design and develop a fit … policies. Monitor and troubleshoot production jobs and processes. Preferred Skills & Experience: Strong proficiency in SQL for data transformation and performance tuning. Solid experience with Python , ideally using PySpark in Azure Databricks . Hands-on experience with Azure Data Lake Storage Gen2 . Understanding of data warehouse concepts , dimensional modelling , and data architecture . Experience working with Delta Lake More ❯

make the UK what it is. Why Join KPMG Data and AI Team We are looking for a skilled and proactive Data Engineer with strong expertise in the Microsoft Azure data ecosystem , including Microsoft Fabric , Synapse Analytics , and Delta Lake . This role requires hands-on experience in building and optimising data pipelines and notebooks, transforming large … stakeholders (CFO, CDO, CIO) to cultivate relationships as a trusted partner through articulating and realizing the value of data. Design, develop, and maintain robust data pipelines and notebooks using Synapse Analytics and Microsoft Fabric. Build and optimise complex data transformation and ingestion logic to support enterprise-level reporting and analytics. Leverage Delta Lake architecture to support both batch … processes. Develop high-quality, reusable code in Python and PySpark , following best practices and ensuring maintainability. Create insightful, interactive reports and dashboards using Power BI . Use Git and Azure DevOps (ADO) for version control and deployment workflows. Continuously improve the performance, reliability, and scalability of data systems. Advocate for best practices in data governance, data quality, and documentation More ❯

client, a forward-thinking organization using data to drive innovation and business performance. They’re expanding their team and are looking for a talented Data Engineer with experience in Azure and Databricks to join the team. Salary and Benefits £55,000 – £65,000 salary depending on experience 10% performance-related bonus Hybrid working model – 2 days in the Greater … The Role: As a Data Engineer, you'll play a key role in designing, building, and maintaining high-quality data pipelines and architectures that support our business intelligence and analytics goals. You'll work closely with data scientists, analysts, and other engineers to deliver reliable and performant data solutions. Key Responsibilities: Develop and manage scalable data pipelines using Azure Data Factory, Data Lake, Synapse, and Databricks. Build and maintain Delta Lake architectures to support both batch and real-time processing. Collaborate with stakeholders to define data requirements and translate them into robust technical solutions. Ensure data quality, performance tuning, and cost efficiency across cloud services. Contribute to DevOps processes, including CI/CD pipelines and infrastructure-as More ❯

have been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation. Apexon brings together distinct core competencies – in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences – to help businesses capitalize on the … the Role: We are currently looking for a Senior Data Engineer to manage teams on client projects. Your Profile: Proven experience as a Data Engineer with a focus on Azure cloud services. Experience of managing small teams whilst also being hands-on. Strong database fundamentals including SQL/TSQL, performance and schema design. Experience architecting and building data applications … using Azure, specifically a Data Warehouse and/or Data Lake. Technologies : Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, Azure Databricks and Power BI. Experience with creating low-level designs for data platform implementations. ETL pipeline development for the integration with data sources and data transformations including the creation of supplementary More ❯

National Lottery that delivers more money to good causes. Role Purpose: TheSenior Reporting Developer (Power BI)is responsible for designing, building, and maintaining high-quality, scalable, and user-friendly analytics solutions usingPower BI. This role focuses ontabular model design, data visualization best practices, and end-to-end report lifecycle management-ensuring that business stakeholders receive accurate, insightful, and timely … reports and dashboards. Maintain consistency in visual standards, data definitions, and nomenclature across all reports. Data Modelling & Integration Build and maintain robust, scalable tabular models that support self-service analytics and enterprise reporting. Collaborate with data engineering/platform teams to align on data warehouse design, create and maintain aggregate tables, and ensure reliable data pipelines feeding into Power … promoting the adoption of accessible and reliable BI artifacts. Participate in design reviews and regularly synchronize with the data engineering team to ensure data models align with reporting and analytics needs. Governance & Compliance Implement reporting governancebest practices, ensuring data quality, integrity, and security across Power BI solutions. Collaborate with theData Governance teamto maintain areport catalogue, data dictionary,and data More ❯

data professional with a strong foundation in modern data platforms and engineering practices. Key competencies include: Databricks Platform Expertise : Proven experience designing and delivering data solutions using Databricks on Azure or AWS. Databricks Components : Proficient in Delta Lake, Unity Catalog, MLflow, and other core Databricks tools. Programming & Query Languages : Strong skills in SQL and Apache Spark (Scala or Python … Warehousing, Master Data Management, and Business Intelligence. Engineering Delivery Practices : Solid understanding of Agile, DevOps, Git, APIs, Containers, Microservices, and Data Pipelines. Modern Data Tools : Experience with Kafka, Snowflake, Azure Data Factory, Azure Synapse, or Microsoft Fabric (highly desirable). Data Architecture Frameworks : Knowledge of Inmon, Kimball, and Data Vault methodologies. Nice to have certifications: Databricks Certified … part of a dynamic, integrated team. Stays ahead of industry trends, standards, and regulatory developments. If you're passionate about data and looking to join a leading data and analytics company based in the UK, we invite you to apply at Dufrain. Please submit your CV highlighting your relevant experience and certifications. Applicants must have the right to work More ❯

have been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation. Apexon brings together distinct core competencies – in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences – to help businesses capitalize on the … Goldman Sachs Asset Management and Everstone Capital, Apexon now has a global presence of 15 offices (and 10 delivery centers) across four continents. Job Title : Senior Data Engineer with Azure Experience Location : Sunderland, UK About the Role We are seeking a talented and motivated Senior Data Engineer with hands-on experience in Azure cloud technologies to join our … a great opportunity for an individual who is passionate about data engineering and keen to work with modern cloud solutions. Key Responsibilities Design, develop, and maintain ETL pipelines using Azure services, with a focus on Azure Synapse Analytics and Azure Data Factory . Develop and optimize ETL processes leveraging Notebooks to ensure efficient data movement More ❯

Senior Data Engineer - Azure Data - Burton-on-Trent - Permanent - Hybrid Salary - £60,000 - £65,000 per annum This role requires 1 day/week in Burton-on-Trent, with hybrid working arrangements. Our client is seeking a highly skilled Senior Data Engineer to join their dynamic IT team, based in Burton-on-Trent. The Senior Data Engineer will come … an efficient Business Intelligence technical service. Assisting in the advancement of our cloud-based data platforms, providing options for timely processing and cost-efficient solutions. A strong background in Azure Data Pipeline development is key for this position. Key Skills & Responsibilities: Build and manage pipelines using Azure Data Factory, Databricks, CI/CD, and Terraform. Optimisation of ETL … processes for performance and cost-efficiency. Design scalable data models aligned with business needs. Azure data solutions for efficient data storage and retrieval. Ensure compliance with data protection laws (e.g., GDPR), implement encryption and access controls. Work with cross-functional teams and mentor junior engineers. Manage and tune Azure SQL Database instances. Proactively monitor pipelines and infrastructure for More ❯

Job Title: Data Engineer (Fabric, Synapse & ADF) Location: Remote (UK-based candidates only) Contract: 3–6 Month Rolling Contract IR35 Status: Outside IR35 Day Rate: £500–£600 per day Overview: We’re looking for an experienced Data Engineer to join a dynamic team working across a variety of exciting data projects. This role involves a blend of greenfield builds … remote-based position, open to UK-based candidates only, and is offered on an Outside IR35 basis. Key Responsibilities: Design, build, and maintain scalable data pipelines using Microsoft Fabric, Azure Synapse, and Azure Data Factory (ADF). Develop and optimise ETL/ELT processes to support business intelligence and analytics solutions. Collaborate with data architects, analysts … practices are followed throughout. Troubleshoot performance issues and support existing solutions as needed. Key Skills & Experience: Proven experience as a Data Engineer working in cloud-native environments. Microsoft Fabric Azure Synapse Analytics Azure Data Factory (ADF) Strong understanding of data modelling, ETL/ELT development, and data warehouse best practices. Experience working across greenfield and brownfield More ❯

Job Title: Data Engineer (Fabric, Synapse & ADF) Location: Remote (UK-based candidates only) Contract: 3–6 Month Rolling Contract IR35 Status: Outside IR35 Day Rate: £500–£600 per day Overview: We’re looking for an experienced Data Engineer to join a dynamic team working across a variety of exciting data projects. This role involves a blend of greenfield builds … remote-based position, open to UK-based candidates only, and is offered on an Outside IR35 basis. Key Responsibilities: Design, build, and maintain scalable data pipelines using Microsoft Fabric, Azure Synapse, and Azure Data Factory (ADF). Develop and optimise ETL/ELT processes to support business intelligence and analytics solutions. Collaborate with data architects, analysts … practices are followed throughout. Troubleshoot performance issues and support existing solutions as needed. Key Skills & Experience: Proven experience as a Data Engineer working in cloud-native environments. Microsoft Fabric Azure Synapse Analytics Azure Data Factory (ADF) Strong understanding of data modelling, ETL/ELT development, and data warehouse best practices. Experience working across greenfield and brownfield More ❯

experiences. As a Senior Consultant at TTEC Digital, you will lead the design, development, and delivery of enterprise-grade business intelligence solutions using Microsoft Power BI and the broader Azure data platform. This role focuses on enabling data-driven decision-making by transforming complex data into actionable insights for strategic customers. You will act as a trusted advisor, collaborating … to-end delivery of Power BI solutions, from requirements gathering and data modelling to dashboard design and deployment, ensuring alignment with client objectives. Engage with enterprise customers to define analytics strategies, develop KPIs, and translate business needs into technical specifications, fostering strong stakeholder relationships. Design and optimize semantic data models using Power BI and Azure Analysis Services, applying … in DAX and Power Query (M). Drive governance, security (e.g., Row-Level Security, workspace management), and performance tuning best practices for enterprise BI environments. Integrate Power BI with Azure Data Services (e.g., Azure Synapse, Data Lake, Databricks) and M365 platforms, with familiarity in Power Platform and Microsoft Fabric where applicable. Deliver hands-on workshops, coaching sessions More ❯

Data Engineering Consultant (all levels) We’re working with a globally recognised consultancy that delivers cutting-edge digital, data, and analytics solutions to some of the most complex infrastructure projects across the UK and beyond. With a strong commitment to technical excellence, inclusion, and client impact, they partner with high-profile organisations to help them unlock the full potential … at various seniority levels — from experienced engineers to those ready to step into leadership roles. The Role As a Data Engineering Consultant, you will: Collaborate with stakeholders across development, analytics, and business teams to define and implement components of the data landscape in line with strategic data goals Translate business and end-user needs into robust technical solutions, delivery … new technologies, and drive technical innovation across client projects Document processes and contribute to internal knowledge repositories and best practice libraries Key Skills & Experience Strong hands-on experience with Azure tooling, including: Databricks, Data Factory, Data Lake, and Synapse (or similar data warehouse tools) Azure Analysis Services or comparable BI tooling Solid programming capability in: SQL, Python More ❯

Data Engineering Consultant (all levels) We’re working with a globally recognised consultancy that delivers cutting-edge digital, data, and analytics solutions to some of the most complex infrastructure projects across the UK and beyond. With a strong commitment to technical excellence, inclusion, and client impact, they partner with high-profile organisations to help them unlock the full potential … at various seniority levels — from experienced engineers to those ready to step into leadership roles. The Role As a Data Engineering Consultant, you will: Collaborate with stakeholders across development, analytics, and business teams to define and implement components of the data landscape in line with strategic data goals Translate business and end-user needs into robust technical solutions, delivery … new technologies, and drive technical innovation across client projects Document processes and contribute to internal knowledge repositories and best practice libraries Key Skills & Experience Strong hands-on experience with Azure tooling, including: Databricks, Data Factory, Data Lake, and Synapse (or similar data warehouse tools) Azure Analysis Services or comparable BI tooling Solid programming capability in: SQL, Python More ❯

Data Engineering Consultant (all levels) We’re working with a globally recognised consultancy that delivers cutting-edge digital, data, and analytics solutions to some of the most complex infrastructure projects across the UK and beyond. With a strong commitment to technical excellence, inclusion, and client impact, they partner with high-profile organisations to help them unlock the full potential … at various seniority levels — from experienced engineers to those ready to step into leadership roles. The Role As a Data Engineering Consultant, you will: Collaborate with stakeholders across development, analytics, and business teams to define and implement components of the data landscape in line with strategic data goals Translate business and end-user needs into robust technical solutions, delivery … new technologies, and drive technical innovation across client projects Document processes and contribute to internal knowledge repositories and best practice libraries Key Skills & Experience Strong hands-on experience with Azure tooling, including: Databricks, Data Factory, Data Lake, and Synapse (or similar data warehouse tools) Azure Analysis Services or comparable BI tooling Solid programming capability in: SQL, Python More ❯

Data Engineering Consultant (all levels) We’re working with a globally recognised consultancy that delivers cutting-edge digital, data, and analytics solutions to some of the most complex infrastructure projects across the UK and beyond. With a strong commitment to technical excellence, inclusion, and client impact, they partner with high-profile organisations to help them unlock the full potential … at various seniority levels — from experienced engineers to those ready to step into leadership roles. The Role As a Data Engineering Consultant, you will: Collaborate with stakeholders across development, analytics, and business teams to define and implement components of the data landscape in line with strategic data goals Translate business and end-user needs into robust technical solutions, delivery … new technologies, and drive technical innovation across client projects Document processes and contribute to internal knowledge repositories and best practice libraries Key Skills & Experience Strong hands-on experience with Azure tooling, including: Databricks, Data Factory, Data Lake, and Synapse (or similar data warehouse tools) Azure Analysis Services or comparable BI tooling Solid programming capability in: SQL, Python More ❯

Data Engineering Consultant (all levels) We’re working with a globally recognised consultancy that delivers cutting-edge digital, data, and analytics solutions to some of the most complex infrastructure projects across the UK and beyond. With a strong commitment to technical excellence, inclusion, and client impact, they partner with high-profile organisations to help them unlock the full potential … at various seniority levels — from experienced engineers to those ready to step into leadership roles. The Role As a Data Engineering Consultant, you will: Collaborate with stakeholders across development, analytics, and business teams to define and implement components of the data landscape in line with strategic data goals Translate business and end-user needs into robust technical solutions, delivery … new technologies, and drive technical innovation across client projects Document processes and contribute to internal knowledge repositories and best practice libraries Key Skills & Experience Strong hands-on experience with Azure tooling, including: Databricks, Data Factory, Data Lake, and Synapse (or similar data warehouse tools) Azure Analysis Services or comparable BI tooling Solid programming capability in: SQL, Python More ❯