1 to 25 of 660 T-SQL Jobs

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 ❯

in the analysis, design, development, testing and implementation of enterprise scale applications and solutions 5+years experience developing with C#, ASP.NET, Web Services, MVC, JavaScript, jQuery, CSS, HTML, T-SQL, XML, Visual Studio, and SQL Server Management Studio, with additional expertise in Bootstrap, React, Mobile Development and Service-Oriented Architecture desired. 4+years experience of 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 ❯

consulting team into support. Skills and Attributes Required Experience working with Microsoft Data Analytics solutions on-premise and in the cloud. A good breadth of core technologies: T-SQL (Azure SQL Database, Synapse Serverless DB), Data Factory/Synapse Pipelines, SQL Server BI suite (SSIS/SSAS/SSRS), Power 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 ❯

in Computer Science, IT, or a related field. 5+ years of experience with the Microsoft Power Platform. Strong experience with C#, ASP.NET, MVC, JavaScript, HTML/CSS, T-SQL, and web services. Hands-on experience with SharePoint Online development and SPFx. Proficient in SQL and data modelling principles. Bonus: Familiarity with Python, R More ❯

consulting team into support. Skills and Attributes Required Experience working with Microsoft Data Analytics solutions on-premise and in the cloud. A good breadth of core technologies: T-SQL (Azure SQL Database, Synapse Serverless DB), Data Factory/Synapse Pipelines, SQL Server BI suite (SSIS/SSAS/SSRS), Power More ❯

for reporting solutions, data models, and best practices. Participate in agile ceremonies and contribute to sprint planning, reviews, and retrospectives. Support our Data Engineer with optimisation of T-SQL queries and stored procedures used in reporting datasets. Help support SQL Server databases and our Data Warehouse to support reporting performance and reliability. Occasional … Creating and tracking key performance indicators aligned with business goals. Data Interpretation : Translating complex data into actionable insights. Strong experience with MS SQL Server , T-SQL , and performance tuning for reporting workloads. An understanding of SSRS and SSIS for traditional reporting and ETL processes. Data Warehousing Concepts : Understanding of dimensional modeling, fact and More ❯

for reporting solutions, data models, and best practices. Participate in agile ceremonies and contribute to sprint planning, reviews, and retrospectives. Support our Data Engineer with optimisation of T-SQL queries and stored procedures used in reporting datasets. Help support SQL Server databases and our Data Warehouse to support reporting performance and reliability. Occasional … Creating and tracking key performance indicators aligned with business goals. Data Interpretation : Translating complex data into actionable insights. Strong experience with MS SQL Server , T-SQL , and performance tuning for reporting workloads. An understanding of SSRS and SSIS for traditional reporting and ETL processes. Data Warehousing Concepts : Understanding of dimensional modeling, fact and 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 ❯

e.g SSIS, Data Factory, Alteryx) • Power BI Development including the data model, DAX, and visualizations. • Relational and Dimensional (Kimball) data modelling • Proficiency in SQL (T-SQL, PL/SQL, Databricks SQL) Desirable: • Databricks (or Alternative Modern Data Platform such as Snowflake) • Experience working in a regulated environment More ❯

understanding of business problems and requirements Strong communication skills A willingness to learn new skills and adopt to new technologies Good understanding of Microsoft Server technologies (Azure, T-SQL, SSIS, SSRS, Power BI) Experience Strong experience of working as a Data Scientist or equivalent role, in applying statistical models and machine learning algorithms Experience and ability More ❯

SQL development using Azure DevOps to automate database deployments. Collaborate with development and DevOps teams to ensure smooth database operations and with optimising complex T-SQL queries, stored procedures, and functions. Maintain clear and comprehensive documentation for database structures, procedures, and best practices. Assist in training and mentoring junior developers in SQL best practices and troubleshooting techniques. Skills : 3- 5 years of experience with MS SQL Server, SSMS, and T-SQL, with a proven ability to write and optimise complex queries. Database schema design and performance tuning. Power BI and SSRS reporting tools for business intelligence solutions. SSIS for ETL processing and More ❯

SQL development using Azure DevOps to automate database deployments. Collaborate with development and DevOps teams to ensure smooth database operations and with optimising complex T-SQL queries, stored procedures, and functions. Maintain clear and comprehensive documentation for database structures, procedures, and best practices. Assist in training and mentoring junior developers in SQL best practices and troubleshooting techniques. Skills : 3- 5 years of experience with MS SQL Server, SSMS, and T-SQL, with a proven ability to write and optimise complex queries. Database schema design and performance tuning. Power BI and SSRS reporting tools for business intelligence solutions. SSIS for ETL processing and 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 ❯

Problem Management, Change Management, Request Fulfilment etc. Experience of using ServiceNow and any other ITSM tools. Experience of Windows .Net Framework, including VB.Net, C#, ASP.Net Experience in Transact-SQL/MS SQL Server, Visual Studio 2015+ Proficiency in writing SQL, stored procedures (e.g. PL/SQL code More ❯

Pipeline Development: Improve and maintain existing SSIS data flows, and work towards implementation of Azure Data Factory pipelines to replace existing SSIS architecture. Data Modelling & Transformation: Leverage T-SQL and SSIS to manage and transform data, ensuring high-quality outputs, as well as assisting our Data Analysts with Azure Analysis Services models and implementation of new … other IT professionals, management, and various stakeholders within the Group. You’ll also be or have: Experience in data engineering or a similar role. Extensive experience with T-SQL, SSIS, and SQL Server. Experience using DevOps and Git. Proficient with Analysis Services (ideally in Azure). Experience with Azure Data Factory. Exposure to 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 ❯

Phd. Proven Business Intelligence and Modern Data Platform experience gained in previous roles, and strong knowledge of data product development & management best practices. Primary technical skills required: T-SQL, Azure Data Lake, Azure Synapse Analytics, Apache Spark/PySpark, Azure Data Factory, and Power BI. Azure Analysis Services is a nice to have. Extensive experience developing More ❯

sophisticated data models. SSRS – SQL Server Reporting Services: SSRS Report Builder: Paginated Reports; Drill Down and Drill through, SSRS Reports Server Configuration and Management, T-SQL, SQL Server. SSAS and SSIS is a valuable asset. Power Query/PowerPivot: Proficiency in using Power Query and PowerPivot for data preparation and More ❯

sophisticated data models. SSRS - SQL Server Reporting Services: SSRS Report Builder: Paginated Reports; Drill Down and Drill through, SSRS Reports Server Configuration and Management, T-SQL, SQL Server. SSAS and SSIS is a valuable asset. Power Query/PowerPivot: Proficiency in using Power Query and PowerPivot for data preparation and More ❯

have excellent communication skills. The ideal candidate will have the following; Expertise in C#, .NET Framework/.NET Core & ASP.NET Proficient in HTML, JavaScript & CSS Proficient in T-SQL Knowledge of a JavaScript/Typescript framework preferable, e.g., React Knowledge of UI/UX standards, trends, and emerging technologies Experience integrating with other systems through web More ❯