1 to 25 of 3,821 SQL Jobs in the UK

visualisation Interpret requirements and present data in a clear and compelling way, using data visualisations In this role you will need experience of the following as a minimum: Snowflake, SQL, Azure or AWS, Power BI and Python. The wider technology stack is: Visualisation tools- Power BI Data modelling tools- Python, R, Alteryx and Business Objects Cloud service experience - AWS and … or Azure Databases - SQL Server, Oracle, NoSQL Data Integration tools (Mulesoft, Fivetran, SSIS) Cloud based Big Data frameworks such as data lake, Snowflake Remote working, O365 Productivity stack We offer: Our offer to you We want everyone at Rathbones to fulfil their potential, in an environment where you are proud to work and feel like you belong. We offer a More ❯

multiple data analytics tools (e.g. Power BI) Deep understanding of data wareho using concepts, ETL/ELT pipelines and dimensional modelling Proficiency in advanced programming languages (Python/PySpark, SQL) Experience in data pipeline orchestration (e.g. Airflow, Data Factory) Familiarity with DevOps and CI/CD practices (Git, Azure DevOps etc) Ability to communicate technical concepts to both technical and More ❯

field. Essential Criteria Proven experience building and maintaining large-scale data pipelines using tools such as Databricks, Azure Data Factory, Snowflake, or similar Strong programming skills in Python and SQL, with proficiency in data engineering libraries (pandas, PySpark, dbt). Deep understanding of data modelling, ETL/ELT processes, and Lakehouse concepts. Experience with data quality frameworks, data governance, and More ❯

field. Essential Criteria Proven experience building and maintaining large-scale data pipelines using tools such as Databricks, Azure Data Factory, Snowflake, or similar Strong programming skills in Python and SQL, with proficiency in data engineering libraries (pandas, PySpark, dbt). Deep understanding of data modelling, ETL/ELT processes, and Lakehouse concepts. Experience with data quality frameworks, data governance, and More ❯

impact through data engineering, software development, or analytics Demonstrated success in launching and scaling technical products or platforms Strong programming skills in at least two of the following: Python, SQL, Java Commercial experience in client-facing projects is a plus, especially within multi-disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR) RDBMS (e.g., SQL Server More ❯

lead on the DevOps team, which currently consists of ten team members with varying levels of skills. The technology environment consists of newly developed Microsoft Business Intelligence systems using SQL Server BI stack tools like (SSIS, SSAS, SSRS), delivered via SharePoint and Power BI, as well as the new Trust EHR system (EPIC). The post holder will be expected … to ensure knowledge transfer and continuity. 12. Continuous Improvement: Research new technologies, improve development processes, and contribute to optimizing the teams workflow. Key Skills Required Technical Skills: Proficiency in SQL, database management systems (e.g., MySQL, PostgreSQL, Oracle, SQL Server), and familiarity with cloud databases (e.g., AWS RDS, Azure SQL). Data Modeling: Ability to design normalized, relational, and sometimes non … at a senior level in Information Technology, informatics or related specialist discipline Plus, additional specialist training Desirable Specialist training in database administration techniques including either of Oracle or Microsoft SQL Server. Specialist training in Microsoft Active Directory domain environment. Specialist training in Microsoft SharePoint administration or development. Specialist training in an object orientated programming language. ITIL Foundation Prince Foundation or More ❯

and engineers, sharing ideas and driving innovation across the globe. Cutting-Edge Technology: Get hands-on with the full Esri product suite (ArcGIS Pro, Enterprise, AGOL), Microsoft Azure, MS SQL Server, PostgreSQL and the latest open-source platforms - plus AI/ML frameworks that power truly intelligent mapping and analytics. Diverse, High-Impact Projects: From single-discipline proofs-of-concept … additional experience in .NET, Java or modern JavaScript libraries. Experience with Web GIS development, including React and integration with Enterprise/PostgreSQL backends. Experience with Enterprise Geodatabases, databases and SQL for handling large datasets. Experience with deployment, CI/CD, and version control (e.g., Azure DevOps, Git). AI literacy, with the ability to communicate concepts clearly and support skill More ❯

and engineers, sharing ideas and driving innovation across the globe. Cutting-Edge Technology: Get hands-on with the full Esri product suite (ArcGIS Pro, Enterprise, AGOL), Microsoft Azure, MS SQL Server, PostgreSQL and the latest open-source platforms - plus AI/ML frameworks that power truly intelligent mapping and analytics. Diverse, High-Impact Projects: From single-discipline proofs-of-concept … additional experience in .NET, Java or modern JavaScript libraries. Experience with Web GIS development, including React and integration with Enterprise/PostgreSQL backends. Experience with Enterprise Geodatabases, databases and SQL for handling large datasets. Experience with deployment, CI/CD, and version control (e.g., Azure DevOps, Git). AI literacy, with the ability to communicate concepts clearly and support skill More ❯

clinical reporting structures from disparate systems within a consistent and stable framework that is monitored and assured. We are seeking an experienced Data Engineer with a strong background in SQL Server and a commitment to formal change management procedures (RFC) and version control (Git). We are at the start of a five-year Data Engineering modernisation programme; this includes … qualification Microsoft certifications or equivalent technical qualifications. Experience Essential Substantial experience of design, build and deployment of Business Intelligence functions in a large/complex organisation. Substantial experience of SQL Server database/data warehouse development maintenance and support. Substantial experience of handling ETL solutions and issues across a range of systems. Substantial experience of delivering complex data and reporting … tasks to completion. Desirable Previous experience of working in the NHS. Database table partitioning. Data transfer using a web API. Transferring data using SFTP. Skills Essential Creating well-structured SQL Server Integration Services packages for data transfer and Data Warehouse ETL processes. Designing and implementing SQL Server Reporting Services reports. Data transfer using XML and JSON. Developing custom SSIS Script More ❯

data warehousing and modelling. Proficiency in C#, Python, Java, or Scala . Hands-on experience with ETL tools (e.g., SSIS) and orchestration tools (e.g., Azure Data Factory). Strong SQL skills and experience with relational databases (MSSQL, PostgreSQL, MySQL). Familiarity with Azure services (Fabric, Azure SQL, Synapse Analytics, Blob Storage) and hybrid cloud/on-prem solutions. Understanding of More ❯

collaboratively with the wider business to shape solutions that are future-ready, efficient and insight-driven. Technology Environment The organisation makes extensive use of the Microsoft data toolset, including SQL Server, Azure SQL, Azure Data Factory, Fabric and PowerBI, supporting robust data engineering and analytics across the business. Automation and workflow solutions are delivered through the Microsoft Power Platform and … and cloud data platforms. ** Familiarity with modern working practices such as DevOps, CI/CD, Agile, and collaborative coding. ** Solid knowledge of the Microsoft ecosystem and data toolset - Azure, SQL, Power Platform, LogicApps, PowerBI. ** Familiarity with programming languages such as C#, .NET, Python, and PowerShell. ** Experience working with Azure Data Factory for data integration and pipeline development. ** Strong vendor management More ❯

and data consistency across domains. Collaborate with data engineers to support robust ETL/ELT pipelines and maintain end-to-end data lineage. Deploy analytics engineering solutions using dbt, SQL transformations, and CI/CD best practice. Partner with analysts and data scientists to deliver performant and reliable datasets. Implement data quality monitoring, validation processes, and performance optimisation. Support AI … of modelling standards. Senior Analytics Engineer/Data Modeller Requirements Proven experience as an Analytics Engineer, Data Modeller, or similar position in a modern cloud-based data environment. Strong SQL skills and hands-on experience with platforms such as Snowflake, Azure Synapse, BigQuery, or Redshift. Deep understanding of Data Vault, Kimball, and dimensional modelling techniques. Experience designing data marts and More ❯

champion any actions that you can directly impact at all times. Skills and Experience Extensive experience with Microsoft Dynamics 365 F&O, particularly in data integration and reporting. Advanced SQL proficiency, with expertise in data warehouse modelling and working with large datasets. Proven experience with Azure SQL Databases, data lakes, and developing scalable ETL solutions. Proficiency with SQL Server Management 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 ❯

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 ❯

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 ❯

Enjoy. Enjoy learning, experimenting, and push for innovative designs to help us building better product experiences for our clients. Tech Stack You’ll Work On Backend: Python, Java, TypeScript, SQL, APIs, microservices, containers Frontend: Angular, JavaScript, HTML5/CSS Cloud: AWS (EC2, Lambda, Glue, EKS, SQS, SNS and any other as required) Databases: SQL Server, PostgreSQL, DynamoDB, possibly NoSQL CI More ❯

and presales. Programming & Scripting Languages: Proficiency in languages such as Python or R, with strong knowledge of relevant libraries for data manipulation, scripting, and custom solution development. Experience with SQL for complex queries and data extraction. Cloud Architecture & Data Management: Strong understanding of cloud platforms (e.g., AWS, Google Cloud, Microsoft Azure) and their architecture. Knowledge of data warehousing, ETL processes More ❯

and presales. Programming & Scripting Languages: Proficiency in languages such as Python or R, with strong knowledge of relevant libraries for data manipulation, scripting, and custom solution development. Experience with SQL for complex queries and data extraction. Cloud Architecture & Data Management: Strong understanding of cloud platforms (e.g., AWS, Google Cloud, Microsoft Azure) and their architecture. Knowledge of data warehousing, ETL processes More ❯

and presales. Programming & Scripting Languages: Proficiency in languages such as Python or R, with strong knowledge of relevant libraries for data manipulation, scripting, and custom solution development. Experience with SQL for complex queries and data extraction. Cloud Architecture & Data Management: Strong understanding of cloud platforms (e.g., AWS, Google Cloud, Microsoft Azure) and their architecture. Knowledge of data warehousing, ETL processes More ❯

and presales. Programming & Scripting Languages: Proficiency in languages such as Python or R, with strong knowledge of relevant libraries for data manipulation, scripting, and custom solution development. Experience with SQL for complex queries and data extraction. Cloud Architecture & Data Management: Strong understanding of cloud platforms (e.g., AWS, Google Cloud, Microsoft Azure) and their architecture. Knowledge of data warehousing, ETL processes More ❯

and presales. Programming & Scripting Languages: Proficiency in languages such as Python or R, with strong knowledge of relevant libraries for data manipulation, scripting, and custom solution development. Experience with SQL for complex queries and data extraction. Cloud Architecture & Data Management: Strong understanding of cloud platforms (e.g., AWS, Google Cloud, Microsoft Azure) and their architecture. Knowledge of data warehousing, ETL processes More ❯

and presales. Programming & Scripting Languages: Proficiency in languages such as Python or R, with strong knowledge of relevant libraries for data manipulation, scripting, and custom solution development. Experience with SQL for complex queries and data extraction. Cloud Architecture & Data Management: Strong understanding of cloud platforms (e.g., AWS, Google Cloud, Microsoft Azure) and their architecture. Knowledge of data warehousing, ETL processes More ❯

and presales. Programming & Scripting Languages: Proficiency in languages such as Python or R, with strong knowledge of relevant libraries for data manipulation, scripting, and custom solution development. Experience with SQL for complex queries and data extraction. Cloud Architecture & Data Management: Strong understanding of cloud platforms (e.g., AWS, Google Cloud, Microsoft Azure) and their architecture. Knowledge of data warehousing, ETL processes More ❯

and presales. Programming & Scripting Languages: Proficiency in languages such as Python or R, with strong knowledge of relevant libraries for data manipulation, scripting, and custom solution development. Experience with SQL for complex queries and data extraction. Cloud Architecture & Data Management: Strong understanding of cloud platforms (e.g., AWS, Google Cloud, Microsoft Azure) and their architecture. Knowledge of data warehousing, ETL processes More ❯