26 to 50 of 6,716 SQL Jobs in the UK excluding London

insights. By developing and optimizing ETL/ELT pipelines, we ensure data accuracy, consistency, and performance across the warehouse. Leveraging Azure Data Services such as Synapse, Data Factory, and SQL Server, we provide scalable solutions that enable stakeholders to make data-driven decisions. We create clear, easy-to-read Power BI dashboards, transforming complex data into visually compelling, actionable insights … business stakeholders to define key business metrics and reporting needs. Ensure data quality, consistency, and performance across the warehouse. Work with Azure Data Services (Synapse, Data Factory, Data Lake, SQL DB, etc.) to build scalable solutions. Implement data governance, security, and best practices for the warehouse. Develop and maintain documentation on data models, processes, and business rules. SKILLS AND QUALIFICATIONS … experience with ETL tools (e.g., Azure Data Factory, SSIS, or other data integration tools). Experience handling incremental data loads, data transformations, and data cleansing. Databases & Querying: Proficiency in SQL Server, T-SQL, and performance tuning for data warehouses. Experience working with Azure Synapse Analytics, Azure SQL DB, or similar cloud-based platforms. Microsoft Dynamics 365 (Desirable): Familiarity with Dynamics More ❯

insights. By developing and optimizing ETL/ELT pipelines, we ensure data accuracy, consistency, and performance across the warehouse. Leveraging Azure Data Services such as Synapse, Data Factory, and SQL Server, we provide scalable solutions that enable stakeholders to make data-driven decisions. We create clear, easy-to-read Power BI dashboards, transforming complex data into visually compelling, actionable insights … business stakeholders to define key business metrics and reporting needs. Ensure data quality, consistency, and performance across the warehouse. Work with Azure Data Services (Synapse, Data Factory, Data Lake, SQL DB, etc.) to build scalable solutions. Implement data governance, security, and best practices for the warehouse. Develop and maintain documentation on data models, processes, and business rules. SKILLS AND QUALIFICATIONS … experience with ETL tools (e.g., Azure Data Factory, SSIS, or other data integration tools). Experience handling incremental data loads, data transformations, and data cleansing. Databases & Querying: Proficiency in SQL Server, T-SQL, and performance tuning for data warehouses. Experience working with Azure Synapse Analytics, Azure SQL DB, or similar cloud-based platforms. Microsoft Dynamics 365 (Desirable): Familiarity with Dynamics More ❯

maintain data processes that transform, clean, and present information in user-friendly formats. You'll build integrations feeding data into live systems and analytical workflows, working hands-on with SQL databases, backend applications, REST APIs, and modern web interfaces. Leveraging both Azure and AWS cloud services, you'll deploy scalable solutions that power real-time insights and keep our systems … running smoothly. To succeed, you'll need solid experience in SQL database design and querying, proficiency in a backend language (such as Python, C#, or Rust), and a knack for building RESTful integrations. We're looking for someone eager to work with multiple tech stacks and continuously learn new ones. Familiarity with cloud platforms--particularly Azure and AWS--is essential … and Applications: Create and maintain back-end APIs, automate data ingestion, and build front-end tools (Astro, React, or low-code) for user access to insights. Manage Infrastructure: Administer SQL servers and cloud environments, ensuring performance, redundancy, and regular maintenance. Cross-Team Collaboration: Partner with BI, IT, clinical, and business teams to gather requirements, deliver insights, and advise on systems More ❯

Minimum of 5 years of experience in software development, with a strong focus on Microsoft Azure. • Technical skills: Proficiency in Azure services, including Azure DevOps, Azure Functions, and Azure SQL Database. • Programming languages: Expertise in programming languages such as C#, JavaScript, Python, or similar. • Certifications: Azure certifications (e.g., Azure Developer Associate) are highly desirable. • Tools: Experience with development tools and More ❯

decision-making within a dynamic and fast-paced insurance environment. You will be responsible for designing, developing, and maintaining end-to-end BI solutions using Power BI, DAX, and SQL, working closely with underwriters, actuaries, finance, and senior stakeholders. Key Responsibilities Design, build and optimize interactive Power BI dashboards and reports tailored to the Lloyd's insurance market. Working specifically … with underwriting teams to support their BI processes. Write efficient DAX measures and calculated columns to support analytical requirements. Develop robust SQL queries, stored procedures, and ETL processes to source and transform data. Translate complex data requirements into scalable BI solutions. Collaborate with business users to gather requirements and deliver meaningful insights. Lead data governance and quality initiatives to ensure … insurance-specific data models including premiums, claims, exposures, and bordereaux. Hands-on experience working with data warehouses, data marts, and ETL pipelines. Solid knowledge of relational databases (e.g., MS SQL Server, Azure SQL). Excellent problem-solving skills and ability to work independently or as part of a team. Strong stakeholder management and communication skills. Desirable Experience with cloud-based More ❯

Web API). Experience with solutions involving .NET Core, AWS functions, Logic Apps, Service Queues, etc., following design patterns. Understanding of system design, data structures, and experience with relational (SQL Server, Oracle) and NoSQL databases. Deep knowledge of AWS services like EC2, Lambda, API Gateway, RDS, DynamoDB, S3, Redis. Advanced SQL skills, including stored procedures, complex queries, and performance tuning. More ❯

Microsoft Dataverse. Experience configuring and deploying Dynamics 365 applications. Experience with Power Apps Test Studio or other Power Platform testing solutions. Experience in configuring and using other data stores (SQL/SharePoint/Lists). Experience developing and deploying Microsoft Teams Apps. Experience with Azure DevOps (or similar tools) for CI/CD and backlog/progress tracking. Experience with … Power BI solutions would be a plus. Experience integrating Power Apps solutions with APIs or third-party solutions. Development experience using Microsoft stack (.NET/C#/TypeScript/SQL Server). Experience with Azure DevOps (or similar tools) for CI/CD and backlog/progress tracking. Experience with Microsoft Azure PaaS/Azure Integration Services. Power Platform Certifications More ❯

to the company's success. There are opportunities for professional development, such as training programs, certifications, and career advancement paths. KEY RESPONSIBILITIES Design, develop, and maintain scalable data pipelines SQL, Azure ADF, Azure Functions, DBT Collaborate with analysts and stakeholders to understand their data needs, scoping and implementing solutions Optimising and cleaning of data warehouse, cleaning existing codebase and creating … documentation. Monitor and troubleshoot data pipeline issues Provide technical support and guidance to junior team members Provide ongoing support for business applications. Provide help with data analysis using SQL, Qube, Tableau, Hubspot and excel. Perform systems analysis, business process analysis and design. Project Management, developing project plans, and monitoring performance. Monitoring deliverables and ensuring timely completion of projects. Research and More ❯

of fundamental programming principles (e.g. SOLID, clean code) Basic experience with version control systems (e.g. Git) Desirable Skills: Degree in Computer Science or a related field Basic understanding of SQL and relational databases (e.g. SQL Server) Familiarity with web development technologies (e.g. HTML, CSS, JavaScript) Exposure to DevOps concepts and tools (e.g. CI/CD pipelines) Understanding of unit test More ❯

Cloud Platforms: Experience with Azure, AWS, or Google Cloud for data engineering. Cloud Data Tools: Expertise in Databricks, Snowflake, BigQuery, or Synapse Analytics. Programming & Scripting: Strong knowledge of Python, SQL, Spark, or similar. Data Modelling & Warehousing: Experience with cloud-based data architecture. CI/CD & DevOps: Knowledge of Terraform, GitHub Actions, Docker, Kubernetes. Agile & Collaboration: Ability to work in agile More ❯

AWS, or Google Cloud for data engineering. Cloud-Based Data Tools: Expertise in Databricks, Snowflake, BigQuery, or Synapse Analytics for scalable data solutions. Programming & Scripting: Strong knowledge of Python, SQL, Spark, or equivalent cloud technologies. Data Modelling & Warehousing: Experience with modern cloud-based data architecture and methodologies. CI/CD & DevOps: Understanding of Terraform, GitHub Actions, Docker, Kubernetes in cloud More ❯

AWS, or Google Cloud for data engineering. Cloud-Based Data Tools: Expertise in Databricks, Snowflake, BigQuery, or Synapse Analytics for scalable data solutions. Programming & Scripting: Strong knowledge of Python, SQL, Spark, or equivalent cloud technologies. Data Modelling & Warehousing: Experience with modern cloud-based data architecture and methodologies. CI/CD & DevOps: Understanding of Terraform, GitHub Actions, Docker, Kubernetes in cloud More ❯

Science). Minimum of 2 5 years of relevant experience in data analysis, business analysis, or technology consulting within financial services, ideally funds or asset management. Working knowledge of SQL or similar querying languages. Skills and Competencies Strong analytical and problem-solving skills with the ability to interpret and manipulate large datasets. Experience working on transformation or change projects involving More ❯

be beneficial. Understanding of the System Delivery Life Cycle. Experience of using agile delivery tools such as JIRA, Pivotal, Collab, Confluence Experience of engineering based on the likes of SQL, SSIS, Python, Java, Scala, XML/FpML and Power BI Solution architecture (Business, Functional, Technical) Data architecture, data lineage and all aspects of AI including, but not limited to, NLP More ❯

governance) to understand reporting requirements and KPIs. Support real-time project monitoring and automated reporting solutions for cost, schedule, risk, safety, and sustainability metrics. Apply Power Query, DAX, and SQL for data modeling, transformation, and performance optimisation. Ensure compliance with data governance, security protocols, and company standards for digital delivery. Support the use of predictive analytics and trend analysis to … data pipelines and reporting frameworks for enterprise-level infrastructure programs. Requirements: Proven experience in Power BI development in complex infrastructure, engineering, or construction environments. Proficiency in Power Query, DAX, SQL, and data integration techniques. Experience working with large-scale projects in sectors such as energy, transport, rail, highways, or utilities. Strong understanding of project lifecycle, project controls, or engineering workflows More ❯

years of professional experience in data analysis, business intelligence, or a related field. Strong experience with Microsoft Power Platform (PowerBI, Power Automate, Microsoft Copilot). Proficiency in SQL, Python, and advanced data querying techniques. Experience in data modelling and data warehouse concepts. Familiarity with API data integration methods. Excellent analytical and problem-solving skills. Outstanding communication skills, with the ability More ❯

using C#, .NET 6, ASP.NET Core/MVC Frontend development using TypeScript/JavaScript and modern frameworks (Angular, Vue, or React) Design and develop APIs and backend logic using SQL Server and MySQL Collaborate in an Agile environment (Scrum, Sprints, Stand-Ups) Participate in code reviews, unit testing (XUnit, NUnit), and CI/CD pipelines (TeamCity) Work closely with international … experience: 5+ years of Full Stack experience using the Microsoft stack Strong front-end skills using HTML5, CSS3 and a modern JS framework (Angular, Vue, or React) Proficient in SQL development including procedures and query optimisation Experience with source control tools like Git Exposure to Cloudflare, AWS, Terraform (bonus) Familiarity with logging and monitoring tools like ElasticSearch, Rollbar or Sentry More ❯

Experience Experience with Dotnet Frameworks, microservices, and cloud platforms like Azure and AWS. Proficiency in C#, .NET Core, and related technologies. Understanding of system design, data structures, and databases (SQL Server, Oracle, NoSQL). Knowledge of AWS services such as EC2, Lambda, RDS, DynamoDB, S3, Redis. Skills in SQL programming, performance optimization, and test automation. Experience with CI/CD More ❯

data visualisations and reports. This will also include the delivery of accurate data extracts and the development of robust data transformations. The successful candidate will be an experienced MS SQL and MS BI stack developer, with a proven ability to play a lead role in large and complex projects. They will be proactive in their approach and confident dealing with … a range of stakeholders, both internal and external alike. The successful candidate will: Lead on the development of data warehouses (SQL Server), data visualisations and reports (SSRS and Power BI), and data transformations (SQL, SSIS) Provide ongoing support for on-premise and Azure production data warehouses and reporting, including remote installs and upgrades on live customer sites Take on the … validation as required The role requires: In-depth working knowledge and experience working with relational databases Background in data warehouse design (e.g. dimensional modelling) and data analysis Advanced MS SQL Server skillset (T-SQL, stored procedures, functions, dynamic SQL) Proven experience of developing complex reports using SSRS or closely equivalent tools Experience of working with large or complex datasets and More ❯

modern data engineering and reporting. Including storage, data pipelines to ingest and transform data, and querying & reporting of analytical data. You've worked with technologies such as Python, Spark, SQL, Pyspark, PowerBI etc. You’ve got a background in software engineering, including Front End technologies like JavaScript. You’re a problem-solver, pragmatically exploring options and finding effective solutions. An More ❯

modern data engineering and reporting. Including storage, data pipelines to ingest and transform data, and querying & reporting of analytical data. You've worked with technologies such as Python, Spark, SQL, Pyspark, PowerBI etc. You’ve got a background in software engineering, including Front End technologies like JavaScript. You’re a problem-solver, pragmatically exploring options and finding effective solutions. An More ❯

modern data engineering and reporting. Including storage, data pipelines to ingest and transform data, and querying & reporting of analytical data. You've worked with technologies such as Python, Spark, SQL, Pyspark, PowerBI etc. You’ve got a background in software engineering, including Front End technologies like JavaScript. You’re a problem-solver, pragmatically exploring options and finding effective solutions. An More ❯

programming experience in at least one language (e.g. Java, Python, C#, Go). Experience with modern front-end technologies such as React. In-depth knowledge of relational and columnar SQL databases, including database design and performance optimization. Experience with industry standard frameworks and tools such as SpringBoot, DropWizard, Maven, Web/RESTful service development, etc. Knowledge of ORM frameworks. Experience More ❯

programming experience in at least one language (e.g. Java, Python, C#, Go). Experience with modern front-end technologies such as React. In-depth knowledge of relational and columnar SQL databases, including database design and performance optimization. Experience with industry standard frameworks and tools such as SpringBoot, DropWizard, Maven, Web/RESTful service development, etc. Knowledge of ORM frameworks. Experience More ❯

and principles. Solid understanding of data warehousing data modeling and data integration principles. Proficiency in at least one scripting/programming language (e.g. Python Scala Java). Experience with SQL and NoSQL databases. Familiarity with data quality and data governance best practices. Strong analytical and problem-solving skills. Excellent communication interpersonal and presentation skills. Desired Skills: Experience with containerization technologies More ❯