1 to 25 of 311 Permanent SQL Jobs in Cambridgeshire

SQL Developer Location: Remote 12 Month FTC Our Client They are looking for a skilled SQL Developer to join their team, reporting to the Application Development Manager. In this role, you will develop SQL queries and procedures, create and maintain custom reports, and modify ERP user forms to enhance business … will be beneficial as you support the business with project delivery, system enhancements, and issue resolution. This is an excellent opportunity for an experienced SQL Developer looking to expand their skills into Azure. Key Responsibilities Design, develop, and maintain high-quality SQL databases to solve complex business challenges. Identify and … Head of Application Development. Actively participate in team planning and contribute to continuous improvement efforts. Duties & Tasks Develop, support, and optimise solutions in Microsoft SQL Server, T-SQL, and Reporting Services, ensuring comprehensive documentation. Gather and document requirements, working closely with stakeholders to ensure solutions meet business needs. Support and More ❯

SQL Developer Location: Remote 12 Month FTC Our Client They are looking for a skilled SQL Developer to join their team, reporting to the Application Development Manager. In this role, you will develop SQL queries and procedures, create and maintain custom reports, and modify ERP user forms to enhance business … will be beneficial as you support the business with project delivery, system enhancements, and issue resolution. This is an excellent opportunity for an experienced SQL Developer looking to expand their skills into Azure. Key Responsibilities Design, develop, and maintain high-quality SQL databases to solve complex business challenges. Identify and … Head of Application Development. Actively participate in team planning and contribute to continuous improvement efforts. Duties & Tasks Develop, support, and optimise solutions in Microsoft SQL Server, T-SQL, and Reporting Services, ensuring comprehensive documentation. Gather and document requirements, working closely with stakeholders to ensure solutions meet business needs. Support and More ❯

using ETL tools and frameworks. Familiarity with data warehousing concepts and experience in developing scalable, high-performance data architectures. Technical Expertise: Strong command of SQL and scripting languages, along with experience in programming languages such as Python or Java. Experience with the Microsoft Azure ecosystem is essential, including proficiency with More ❯

using ETL tools and frameworks. Familiarity with data warehousing concepts and experience in developing scalable, high-performance data architectures. Technical Expertise: Strong command of SQL and scripting languages, along with experience in programming languages such as Python or Java. Experience with the Microsoft Azure ecosystem is essential, including proficiency with More ❯

knowledge of REST APIs, data mapping, and system integration. Scripting or coding experience in one or more of: .Net, C#, Python, or JavaScript. Strong SQL skills. Agile/Scrum delivery experience. Excellent communication and stakeholder engagement skills. Ability to produce high-quality documentation and technical specifications. Track record of delivering More ❯

knowledge of REST APIs, data mapping, and system integration. Scripting or coding experience in one or more of: .Net, C#, Python, or JavaScript. Strong SQL skills. Agile/Scrum delivery experience. Excellent communication and stakeholder engagement skills. Ability to produce high-quality documentation and technical specifications. Track record of delivering More ❯

Engineer working with Microsoft Fabric or related Azure data services. Knowledge of using PySpark in notebooks for data analysis and manipulation. Strong proficiency with SQL and data modelling. Experience with modern ELT/ETL tools within the Microsoft ecosystem. Solid understanding of data lake and lakehouse architectures. Hands-on experience More ❯

Engineer working with Microsoft Fabric or related Azure data services. Knowledge of using PySpark in notebooks for data analysis and manipulation. Strong proficiency with SQL and data modelling. Experience with modern ELT/ETL tools within the Microsoft ecosystem. Solid understanding of data lake and lakehouse architectures. Hands-on experience More ❯

language. Proficiency in working with third-party APIs, preferably with previous experience working with various ad platform APIs. Ability to use at least one SQL/NoSQL DBMS and familiarity with SQL. Understanding of digital marketing principles, including campaign management and key performance metrics. Ability to use a version control More ❯

language. Proficiency in working with third-party APIs, preferably with previous experience working with various ad platform APIs. Ability to use at least one SQL/NoSQL DBMS and familiarity with SQL. Understanding of digital marketing principles, including campaign management and key performance metrics. Ability to use a version control More ❯

you'll need to succeed Great experience working in Financial Services and in Asset Management or private equity. Fantastic experience with Microsoft Azure Cloud, SQL as well as with Microsoft Data Factory & Logic App/Azure Functions to support/development. Expertise with Power BI and DAX (for business intelligence More ❯

you'll need to succeed Great experience working in Financial Services and in Asset Management or private equity. Fantastic experience with Microsoft Azure Cloud, SQL as well as with Microsoft Data Factory & Logic App/Azure Functions to support/development. Expertise with Power BI and DAX (for business intelligence More ❯

leading reporting development (advanced/expert levels only). Key Tools & Technologies Visualization Tools: Tibco Spotfire, Tableau, Power BI, or QlikView Data Management & Querying: SQL, ETL pipelines, Data Warehousing (e.g., ODW) Scripting/Programming: Iron Python, R, R Shiny, SAS Collaboration & Platforms: SharePoint, clinical trial data platforms Qualifications Entry Level More ❯

leading reporting development (advanced/expert levels only). Key Tools & Technologies Visualization Tools: Tibco Spotfire, Tableau, Power BI, or QlikView Data Management & Querying: SQL, ETL pipelines, Data Warehousing (e.g., ODW) Scripting/Programming: Iron Python, R, R Shiny, SAS Collaboration & Platforms: SharePoint, clinical trial data platforms Qualifications Entry Level More ❯

such as Git and GitHub to ensure collaborative, well-documented code development. Demonstrate in-depth knowledge of relational and geospatial databases including MySQL, T-SQL, PostGIS, and PostgreSQL. Write and maintain scripts in PowerShell, Bash, R, and Python to automate data workflows and support analysis. Oversee multiple technical projects, ensuring More ❯

such as Git and GitHub to ensure collaborative, well-documented code development. Demonstrate in-depth knowledge of relational and geospatial databases including MySQL, T-SQL, PostGIS, and PostgreSQL. Write and maintain scripts in PowerShell, Bash, R, and Python to automate data workflows and support analysis. Oversee multiple technical projects, ensuring More ❯

such as Git and GitHub to ensure collaborative, well-documented code development. Demonstrate in-depth knowledge of relational and geospatial databases including MySQL, T-SQL, PostGIS, and PostgreSQL. Write and maintain scripts in PowerShell, Bash, R, and Python to automate data workflows and support analysis. Oversee multiple technical projects, ensuring More ❯

Experienced with Azure cloud technologies Modern Data Estate such as Azure Data Factory, Azure DevOps, Azure Synapse, Azure Data Lake Services Skilled with advanced SQL working with relational databases Knowledgeable of database and data warehouse design best practices Experienced designing, building, and scaling streaming and batch data pipelines Able to More ❯

Experienced with Azure cloud technologies Modern Data Estate such as Azure Data Factory, Azure DevOps, Azure Synapse, Azure Data Lake Services Skilled with advanced SQL working with relational databases Knowledgeable of database and data warehouse design best practices Experienced designing, building, and scaling streaming and batch data pipelines Able to More ❯

work-related experience. Experience in information security, in areas such as cybersecurity, metrics, analytics, forecasting and reporting, cybersecurity risk or governance. Understanding of Python, SQL databases, Windows Server, Azure services and Powershell. Understanding or experience in automation of scripts and pipelining processes. Basic understanding or experience working in Agile environments. More ❯

asked. Key Tech Experience Needed: Azure Data technologies (Synapse, Databricks, Data Factory, Data Lake, Microsoft Fabric) Azure DevOps, Git Stream Analytics, Event Hubs T-SQL, Python Power BI expertise, including DAX What's On Offer: Comprehensive, uncapped training—your growth is fully supported. Meaningful benefits (Private Medical, Income Protection, Gym More ❯

asked. Key Tech Experience Needed: Azure Data technologies (Synapse, Databricks, Data Factory, Data Lake, Microsoft Fabric) Azure DevOps, Git Stream Analytics, Event Hubs T-SQL, Python Power BI expertise, including DAX What's On Offer: Comprehensive, uncapped training—your growth is fully supported. Meaningful benefits (Private Medical, Income Protection, Gym More ❯

or a related field. 5+ years of experience in building data pipelines, models and maintaining Data Warehouses for reporting and analytics. Strong skills in SQL, Python, problem-solving and data analysis. Deep Experience with Snowflake and AWS Deep Experience with dbt. Excellent communication and collaboration skills. An eagerness to learn More ❯

or a related field. 5+ years of experience in building data pipelines, models and maintaining Data Warehouses for reporting and analytics. Strong skills in SQL, Python, problem-solving and data analysis. Deep Experience with Snowflake and AWS Deep Experience with dbt. Excellent communication and collaboration skills. An eagerness to learn More ❯

multiple projects effectively. - Capable of tailoring analysis approaches to different client environments. Preferred: - SAFe certification or Lean/Six Sigma experience. - Working knowledge of SQL/Python for data discovery. - Experience with business glossary management. - Knowledge of Snowflake and data management best practices (DMBOK certification beneficial). - Background in the More ❯