1 to 25 of 302 Permanent T-SQL Jobs in the UK excluding London

engineering. Qualifications Key Skills and Experience Technical • Proven experience building data pipelines in Azure Data Factory and Snowflake. • Proficiency in MS SQL Server, including T-SQL programming, stored procedures, and functions. • Extensive experience with SQL Server Integration Services (SSIS) & Visual Studio and Azure Data Factory (ADF) and GitHub, for ETL More ❯

role will lead a squad focused on delivering robust data solutions across our five businesses. You will leverage your deep expertise in traditional data engineering (database design, T-SQL) and Microsoft Azure's data services (Data Factory, Power BI, and pipelines) to address complex business challenges. We are looking for a candidate who can effectively translate … and ensuring alignment with business objectives The Person Essential: Minimum 5+ years of experience in designing and implementing data ETL processes and design Expert-level proficiency in T-SQL, SSIS, and the Microsoft data stack (SQL Server, Azure SQL Database) Proven proficiency in Azure Data Factory Proven experience in designing More ❯

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 More ❯

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 More ❯

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 More ❯

non-technical teams. Youll have strong analytical and problem-solving skills, with the ability to translate complex business requirements into data models. Youll have extensive experience of T-SQL/Azure SQL with demonstrable experience writing SQL to extract data from databases in an enterprise environment. Together with experience of More ❯

data strategy Strong experience with Microsoft SQL Server, including: Designing and maintaining tables, views, stored procedures, and functions Optimising indexes for performance Writing complex T-SQL queries for data extraction, analysis, and reporting Ensuring data integrity and performance at scale Strong knowledge of SSRS and SSIS Experience delivering to tight deadlines in client More ❯

onboarding, new lending, and securitisations. Experience with Kimball-based star schema data warehouses. Strong capabilities in reporting and data visualisation using: Microsoft SQL Server T-SQL Power BI SSRS Microsoft Excel Azure DevOps Performance tuning techniques Solid understanding of interpreting business requirements into technical solutions. Knowledge of the software development lifecycle and quality More ❯

be successful in this role, you should: Proven experience building data pipelines in Azure Data Factory and Snowflake. Proficiency in MS SQL Server, including T-SQL programming, stored procedures, and functions. Extensive experience with SQL Server Integration Services (SSIS) & Visual Studio and Azure Data Factory (ADF) and GitHub, for ETL More ❯

SQL development using Azure DevOps to automate database deployments. Collaborate with development and DevOps teams to ensure smooth database operations and with optimizing complex T-SQL queries, stored procedures, and functions. Identify and troubleshoot database performance bottlenecks. Maintain clear and comprehensive documentation for database structures, procedures, and best practices. Participate in agile team … best practices and troubleshooting techniques. Skills We're Looking For Minimum 5 years of experience with MS SQL Server, SSMS, and T-SQL, with a proven ability to write and optimize complex queries. Database schema design and performance tuning. Power BI and SSRS reporting tools for business intelligence solutions. SSIS More ❯

Proficient with Azure Data Factory, Synapse Analytics, Data Lake Storage, Stream Analytics, and Event Hubs. Skilled using Python, Scala, C#, .NET, and advanced SQL (T-SQL). Experience with CI/CD pipelines using Azure DevOps and infrastructure as code (Terraform, BICEP, ARM). Solid understanding of data engineering, distributed computing, and cloud More ❯

Proficient with Azure Data Factory, Synapse Analytics, Data Lake Storage, Stream Analytics, and Event Hubs. Skilled using Python, Scala, C#, .NET, and advanced SQL (T-SQL). Experience with CI/CD pipelines using Azure DevOps and infrastructure as code (Terraform, BICEP, ARM). Solid understanding of data engineering, distributed computing, and cloud More ❯

be successful in this role, you should: Proven experience building data pipelines in Azure Data Factory and Snowflake. Proficiency in MS SQL Server, including T-SQL programming, stored procedures, and functions. Extensive experience with SQL Server Integration Services (SSIS) & Visual Studio and Azure Data Factory (ADF) and GitHub, for ETL More ❯

maintain, and optimize dynamic reports and dashboards using SSRS and Power BI to aid business decision making. Extract, transform, and load (ETL) data from diverse sources with T-SQL, SSIS, and Azure Data Factory Pipelines. Collaborate with business stakeholders to gather requirements and create visually impactful data visualizations. Optimize and manage Azure SQL … Follow best practices for data governance, security, and compliance. Provide support and training to end users on BI tools and reporting functionalities. Key Requirements: Extensive experience in T-SQL and Azure SQL database management. Expertise in SSRS and Power BI for developing and maintaining reports and dashboards. Proficient in SSIS and Azure Data More ❯

both relational and dimensional), and normalization techniques. Extensive experience with Microsoft SQL Server (on-prem) and Azure SQL databases. Proficiency in T-SQL, including complex queries, stored procedures, functions, views, and triggers. Experience with performance tuning and query optimization techniques. Strong knowledge of database administration, including backup/restore strategies More ❯

Microsoft tooling as possible including Azure Data Factory, Azure Data Lake, Azure SQL, Azure Synapse Analytics, SQL Server/SSIS/T-SQL Strong skills across Data Modelling, Warehousing and ETL processes Skills in Business Intelligence tooling such as Power BI/similar Scripting with Python/PowerShell/similar More ❯

Databricks (Unity Catalog, DLT), Data Factory, Synapse, Data Lake, Stream Analytics, Event Hubs. Strong knowledge of Python, Scala, C#, .NET. Experience with advanced SQL, T-SQL, relational databases. Azure DevOps, Terraform, BICEP, ARM templates. Distributed computing, cloud-native design patterns. Data modelling, metadata management, data quality, data as a product. Strong communication, empathy More ❯

Databricks (Unity Catalog, DLT), Data Factory, Synapse, Data Lake, Stream Analytics, Event Hubs. Strong knowledge of Python, Scala, C#, .NET. Experience with advanced SQL, T-SQL, relational databases. Azure DevOps, Terraform, BICEP, ARM templates. Distributed computing, cloud-native design patterns. Data modelling, metadata management, data quality, data as a product. Strong communication, empathy More ❯

Microsoft tooling as possible including Azure Data Factory, Azure Data Lake, Azure SQL, Azure Synapse Analytics, SQL Server/SSIS/T-SQL Strong skills across Data Modelling, Warehousing and ETL processes Skills in Business Intelligence tooling such as Power BI/similar Scripting with Python/PowerShell/similar More ❯

Microsoft tooling as possible including Azure Data Factory, Azure Data Lake, Azure SQL, Azure Synapse Analytics, SQL Server/SSIS/T-SQL Strong skills across Data Modelling, Warehousing and ETL processes Skills in Business Intelligence tooling such as Power BI/similar Scripting with Python/PowerShell/similar More ❯

across the team. Required Skills and Experience 5+ years of commercial experience in C#/.NET development. Strong experience with SQL Server and advanced T-SQL development. Deep understanding of data modeling and relational databases. Experience with large datasets, performance tuning, indexing, and query optimisation. Hands-on experience with ETL tools or custom More ❯

analysts, technical specialists and business stakeholders Skills & Experience Hands-on experience with data integration tools like Azure Data Factory or SSIS Developing reports and custom queries using T-SQL Experience with Azure SQL Database Experience designing, developing and implementing data warehouse solutions Solid understanding of data normalisation techniques and database concepts Ability to More ❯

background, especially Azure PaaS. Familiarity with CI/CD implementations and IaC tools (e.g., Terraform, Bicep, ARM). Proficient in multiple programming languages (e.g., .Net (C#), PowerShell, T-SQL). Desirable: Python, Java/JavaScript, Microsoft Power Platform (Apps, Automate, BI). Desirable: Awareness of Microsoft frameworks like the Cloud Adoption Framework. Strong analytical and problem More ❯

and written skills, a believer that documentation is valuable. Self-motivated team player who is committed to achieving results. Technical skills: MS SQL Server T-SQL SSIS SQL Server Sharepoint MS Experience: Proven ability to deliver the application of data driven decisions based on business analytics technical solutions. A proven More ❯

Manage own tasks, plans, and priorities effectively Stay updated on data and reporting technology trends Skills & Experience Extensive experience with Power BI, Tabular Models, and DAX Strong T-SQL skills for querying and data manipulation Experience in insurance or financial services is advantageous Analytical and problem-solving skills with attention to detail Effective communication and presentation More ❯