51 to 75 of 3,878 SQL Jobs in the UK

Experience And Qualifications Product Specific Qualifications: Openlink Endur Product experience in implementation per role profile, Connex Integrations JMS and WebServices, Advanced Report Builder, Advanced Data Model, Advanced OpenJVS and SQL, User Defined Sim Results, Advanced TPM workflows, Advanced knowledge of concepts such as: Regulatory Reporting, Inventory Management, External Pricing Models, Grid Enabling. OpenComponents .Net is a plus. Business knowledge of … years working in consulting capacity Strong experience with Openlink: C# .NET, Java, C++, Soap Webservices Experience with business reporting tools such as Crystal Reports and Openlink's DMS Strong SQL scripting skills in Oracle or MSSQL High proficiency with RDBMS such Oracle or MS SQL Server is required High proficiency with Interface implementation following industry standard integration patterns Expert ability More ❯

Assist with the design of the schools data warehouse, providing the necessary infrastructure for Business Intelligence (BI) dashboards, analytics and reporting tools Support the design and configuration of Microsoft SQL-based databases Assist with database monitoring, backup routines, and data integration processes (ETL, API, etc.) Develop, maintain and enhance in-house software applications Provide expert-level software and database support … applications or GUI web design using similar frameworks and techniques. Use of RESTful APIs to obtain and manipulate data. At least one year's experience of Microsoft (or similar) SQL queries to extract and manipulate data in multi-tabled normalised databases (essential). Knowledge of Data Warehousing design and data presentation techniques especially using tools such as SSAS, PowerBI, Telerik More ❯

SOLID principles, and modern design patterns - Development experience in Microsoft .Net Framework and experience in Front-end JavaScript frameworks like Angular & React - Traditional Relational Database technologies like Oracle, MS SQL Server and - No SQL Databases like MongoDB or DynamoDB - SOA & Microservices architecture implementation using REST APIs, queue-based messaging patterns, exposure to Mulesoft/Kong is a plus - On-premise More ❯

role Proven experience in data analysis, engineering, or a related field, ideally within the built environment or engineering sector. Strong proficiency in data tools and languages such as Python, SQL, Power BI, or similar platforms for data manipulation and visualization. Familiarity with cloud-based data environments (e.g. Azure, AWS, or Google Cloud) and version control systems like Git. Experience working More ❯

with DBT for modular data modelling, testing, documentation, and CI/CD integration. Skilled in Azure Data Factory, Synapse, and Databricks for end-to-end data pipeline orchestration. Excellent SQL engineering capability; experience designing data models for analytics and operational reporting. Proven track record in the insurance or wider financial services sector , ideally with large dataset experience. Experience working in More ❯

and data platform testing, including ETL, data warehouse, and reporting validation. Strong hands-on knowledge of AWS data tools (Glue, Redshift, Athena, EMR, Lambda). Confident with Power BI, SQL, Python/PySpark, and QA automation tools. Solid grasp of data governance, GDPR, and data quality standards. Background in Agile delivery and experience leading or mentoring QA teams. Strong analytical More ❯

and data platform testing, including ETL, data warehouse, and reporting validation. Strong hands-on knowledge of AWS data tools (Glue, Redshift, Athena, EMR, Lambda). Confident with Power BI, SQL, Python/PySpark, and QA automation tools. Solid grasp of data governance, GDPR, and data quality standards. Background in Agile delivery and experience leading or mentoring QA teams. Strong analytical More ❯

and data platform testing, including ETL, data warehouse, and reporting validation. Strong hands-on knowledge of AWS data tools (Glue, Redshift, Athena, EMR, Lambda). Confident with Power BI, SQL, Python/PySpark, and QA automation tools. Solid grasp of data governance, GDPR, and data quality standards. Background in Agile delivery and experience leading or mentoring QA teams. Strong analytical More ❯

and data platform testing, including ETL, data warehouse, and reporting validation. Strong hands-on knowledge of AWS data tools (Glue, Redshift, Athena, EMR, Lambda). Confident with Power BI, SQL, Python/PySpark, and QA automation tools. Solid grasp of data governance, GDPR, and data quality standards. Background in Agile delivery and experience leading or mentoring QA teams. Strong analytical More ❯

requirements. It would be advantageous if you have some knowledge of MS Azure Modern Data Warehouse Architecture and Agile methodology, in addition to possessing knowledge and experience of writing SQL queries. What is equally important is that you are highly numerate and analytical, with an ability to deliver high standards of work and pay meticulous attention to detail. Your problem More ❯

alongside commercial teams. • 5+ years of experience with analytical tools such as Power BI and Azure Data Studio. • Strong data analysis skills with advanced Excel expertise. • Proven experience with SQL and Python. • Ability to translate large datasets into actionable insights. • Strong communication skills, with the ability to present data-driven findings to senior stakeholders. • Proficiency in creating impactful presentations in More ❯

alongside commercial teams. • 5+ years of experience with analytical tools such as Power BI and Azure Data Studio. • Strong data analysis skills with advanced Excel expertise. • Proven experience with SQL and Python. • Ability to translate large datasets into actionable insights. • Strong communication skills, with the ability to present data-driven findings to senior stakeholders. • Proficiency in creating impactful presentations in More ❯

alongside commercial teams. • 5+ years of experience with analytical tools such as Power BI and Azure Data Studio. • Strong data analysis skills with advanced Excel expertise. • Proven experience with SQL and Python. • Ability to translate large datasets into actionable insights. • Strong communication skills, with the ability to present data-driven findings to senior stakeholders. • Proficiency in creating impactful presentations in More ❯

alongside commercial teams. • 5+ years of experience with analytical tools such as Power BI and Azure Data Studio. • Strong data analysis skills with advanced Excel expertise. • Proven experience with SQL and Python. • Ability to translate large datasets into actionable insights. • Strong communication skills, with the ability to present data-driven findings to senior stakeholders. • Proficiency in creating impactful presentations in More ❯

alongside commercial teams. • 5+ years of experience with analytical tools such as Power BI and Azure Data Studio. • Strong data analysis skills with advanced Excel expertise. • Proven experience with SQL and Python. • Ability to translate large datasets into actionable insights. • Strong communication skills, with the ability to present data-driven findings to senior stakeholders. • Proficiency in creating impactful presentations in More ❯

Data Engineer - SQL Developer Mostly Remote role - Must be able to travel to rugby office 1-2 times per month An established organisation is seeking a talented SQL Data Engineer to join a collaborative and forward-thinking data team. This role is ideal for someone who thrives on solving complex data challenges, enjoys working with diverse data sources, and takes … pride in building scalable, secure and high-performing data solutions. Key Responsibilities Design, develop and maintain SQL databases and data pipelines, ensuring reliability, integrity and optimisation. Create and enhance complex T-SQL queries to support reporting, analytics and system integrations. Develop and maintain data models, mapping processes and documentation to support enterprise data architecture. Collaborate with analysts, data architects and … migrations and conversions. Ensure compliance with data governance, security, and privacy standards. Contribute to continuous improvement, automation and best practice adoption across DataOps functions. Skills & Experience Solid experience in SQL Server database development, with strong T-SQL skills and query performance optimisation. Demonstrated expertise in data modelling and data mapping , including conceptual, logical and physical design. Strong understanding of ETL More ❯

Job Title: SQL Developer Location: Completely Remote role, can be Located anywhere in the UK! Salary: Depending on experience WellData is looking to recruit an enthusiastic, self-motivated and dynamic SQL Server Developer with at least 3 years' experience working with SQL Server, with in depth experience of Performance Tuning. The role is part magician and part juggler, you will … maintain positive relationships with external stakeholders WellData is a proactive employer when it comes to training, and it is available should it be required. Experience The following are essential: SQL Server design and development Performance Tuning PowerShell Azure including (Databases and Runbooks, Logic Apps, Data Factory) We are looking for someone who can expand the knowledge in our current team … notification week commencing 3rd November 2025 First Interviews week commencing 10th November which will be virtual Second interviews will be in person on 19th November Candidates with experience of; SQL Server Developer, Database Developer, Data Engineer, SQL Performance Tuning Specialist, Azure SQL Developer, BI Developer, ETL Developer also be considered for this role. More ❯

and optimising a Snowflake-based data warehouse and delivering high-quality visualisations and reporting through Power BI. The role offers the chance to work on greenfield architecture, migrate legacy SQL Server solutions and collaborate closely with senior stakeholders on complex, high-impact data initiatives. What You’ll Be Doing Design, develop and maintain data pipelines and models using Snowflake, dbt … and Python. Enhance and support Power BI dashboards and data models, ensuring performance, accuracy and user accessibility. Contribute to the migration of legacy SQL Server (SSIS/SSAS/SSRS) systems into a modern Snowflake/Power BI environment. Work collaboratively with business users to understand requirements, translate them into technical solutions and deliver robust, scalable data products. Implement CI … Expertise in data modelling, query optimisation and Snowflake-specific features (virtual warehouses, time travel, etc.). Hands-on experience with dbt (Data Build Tool) for data transformations. Proficient in SQL and Python for data manipulation and automation. Knowledge of Azure Data Factory or similar orchestration tools. Exposure to large-scale or regulated environments where accuracy and governance are critical. More ❯

and optimising a Snowflake-based data warehouse and delivering high-quality visualisations and reporting through Power BI. The role offers the chance to work on greenfield architecture, migrate legacy SQL Server solutions and collaborate closely with senior stakeholders on complex, high-impact data initiatives. What You’ll Be Doing Design, develop and maintain data pipelines and models using Snowflake, dbt … and Python. Enhance and support Power BI dashboards and data models, ensuring performance, accuracy and user accessibility. Contribute to the migration of legacy SQL Server (SSIS/SSAS/SSRS) systems into a modern Snowflake/Power BI environment. Work collaboratively with business users to understand requirements, translate them into technical solutions and deliver robust, scalable data products. Implement CI … Expertise in data modelling, query optimisation and Snowflake-specific features (virtual warehouses, time travel, etc.). Hands-on experience with dbt (Data Build Tool) for data transformations. Proficient in SQL and Python for data manipulation and automation. Knowledge of Azure Data Factory or similar orchestration tools. Exposure to large-scale or regulated environments where accuracy and governance are critical. More ❯

and optimising a Snowflake-based data warehouse and delivering high-quality visualisations and reporting through Power BI. The role offers the chance to work on greenfield architecture, migrate legacy SQL Server solutions and collaborate closely with senior stakeholders on complex, high-impact data initiatives. What You’ll Be Doing Design, develop and maintain data pipelines and models using Snowflake, dbt … and Python. Enhance and support Power BI dashboards and data models, ensuring performance, accuracy and user accessibility. Contribute to the migration of legacy SQL Server (SSIS/SSAS/SSRS) systems into a modern Snowflake/Power BI environment. Work collaboratively with business users to understand requirements, translate them into technical solutions and deliver robust, scalable data products. Implement CI … Expertise in data modelling, query optimisation and Snowflake-specific features (virtual warehouses, time travel, etc.). Hands-on experience with dbt (Data Build Tool) for data transformations. Proficient in SQL and Python for data manipulation and automation. Knowledge of Azure Data Factory or similar orchestration tools. Exposure to large-scale or regulated environments where accuracy and governance are critical. More ❯

and optimising a Snowflake-based data warehouse and delivering high-quality visualisations and reporting through Power BI. The role offers the chance to work on greenfield architecture, migrate legacy SQL Server solutions and collaborate closely with senior stakeholders on complex, high-impact data initiatives. What You’ll Be Doing Design, develop and maintain data pipelines and models using Snowflake, dbt … and Python. Enhance and support Power BI dashboards and data models, ensuring performance, accuracy and user accessibility. Contribute to the migration of legacy SQL Server (SSIS/SSAS/SSRS) systems into a modern Snowflake/Power BI environment. Work collaboratively with business users to understand requirements, translate them into technical solutions and deliver robust, scalable data products. Implement CI … Expertise in data modelling, query optimisation and Snowflake-specific features (virtual warehouses, time travel, etc.). Hands-on experience with dbt (Data Build Tool) for data transformations. Proficient in SQL and Python for data manipulation and automation. Knowledge of Azure Data Factory or similar orchestration tools. Exposure to large-scale or regulated environments where accuracy and governance are critical. More ❯

and optimising a Snowflake-based data warehouse and delivering high-quality visualisations and reporting through Power BI. The role offers the chance to work on greenfield architecture, migrate legacy SQL Server solutions and collaborate closely with senior stakeholders on complex, high-impact data initiatives. What You’ll Be Doing Design, develop and maintain data pipelines and models using Snowflake, dbt … and Python. Enhance and support Power BI dashboards and data models, ensuring performance, accuracy and user accessibility. Contribute to the migration of legacy SQL Server (SSIS/SSAS/SSRS) systems into a modern Snowflake/Power BI environment. Work collaboratively with business users to understand requirements, translate them into technical solutions and deliver robust, scalable data products. Implement CI … Expertise in data modelling, query optimisation and Snowflake-specific features (virtual warehouses, time travel, etc.). Hands-on experience with dbt (Data Build Tool) for data transformations. Proficient in SQL and Python for data manipulation and automation. Knowledge of Azure Data Factory or similar orchestration tools. Exposure to large-scale or regulated environments where accuracy and governance are critical. More ❯

and Azure Monitor providing added flexibility for diverse migration and integration projects. Prior experience with tools such as MuleSoft, Boomi, Informatica, Talend, SSIS, or custom scripting languages (Python, PySpark, SQL) for data extraction and transformation. Prior experience with Data warehousing and Data modelling (Star Schema or Snowflake Schema). Skilled in security frameworks such as GDPR, HIPAA, ISO 27001, NIST … implementation. Cloud automation and orchestration tools like Terraform and Airflow. Strong analytical skills to assess data quality, identify inconsistencies, and troubleshoot data migration issues. Understanding of database management systems (SQL Server, Oracle, MySQL and NoSQL) and SQL query optimisation. Ability to plan and execute data migration projects, manage timelines, and coordinate with stakeholders. Precision in handling large volumes of data More ❯

and Azure Monitor providing added flexibility for diverse migration and integration projects. Prior experience with tools such as MuleSoft, Boomi, Informatica, Talend, SSIS, or custom scripting languages (Python, PySpark, SQL) for data extraction and transformation. Prior experience with Data warehousing and Data modelling (Star Schema or Snowflake Schema). Skilled in security frameworks such as GDPR, HIPAA, ISO 27001, NIST … implementation. Cloud automation and orchestration tools like Terraform and Airflow. Strong analytical skills to assess data quality, identify inconsistencies, and troubleshoot data migration issues. Understanding of database management systems (SQL Server, Oracle, MySQL and NoSQL) and SQL query optimisation. Ability to plan and execute data migration projects, manage timelines, and coordinate with stakeholders. Precision in handling large volumes of data More ❯

and Azure Monitor providing added flexibility for diverse migration and integration projects. Prior experience with tools such as MuleSoft, Boomi, Informatica, Talend, SSIS, or custom scripting languages (Python, PySpark, SQL) for data extraction and transformation. Prior experience with Data warehousing and Data modelling (Star Schema or Snowflake Schema). Skilled in security frameworks such as GDPR, HIPAA, ISO 27001, NIST … implementation. Cloud automation and orchestration tools like Terraform and Airflow. Strong analytical skills to assess data quality, identify inconsistencies, and troubleshoot data migration issues. Understanding of database management systems (SQL Server, Oracle, MySQL and NoSQL) and SQL query optimisation. Ability to plan and execute data migration projects, manage timelines, and coordinate with stakeholders. Precision in handling large volumes of data More ❯