1 to 25 of 1,787 SQL Jobs in the North of England

services such as Azure Synapse Analytics, Azure Data Factory, Azure DataBricks, and Event Hub. This role also involves designing, building, and operating the data layer on Azure Synapse Analytics, SQL DW, and Cosmos DB. The data engineer is proficient in Azure Data Platform components, including ADLS2, Blob Storage, SQLDW, Synapse Analytics with Spark and SQL, Azure functions with Python, Azure … s Degree Required Technical And Professional Expertise Commercial experience as a Data Engineer or similar role, with a strong emphasis on Azure technologies. Proficiency in Azure data services (Azure SQL Database, Azure Synapse Analytics, Azure Data Factory, Azure Databricks). Experience with data modeling, data warehousing, and big data processing (Hadoop, Spark, Kafka). Strong understanding of SQL and NoSQL More ❯

permanent 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 business requirements into … stakeholders, 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 and implementing data models and database schemas for complex More ❯

as a Data Engineer or in a similar role. Experience with data pipeline, ETL and workflow management tools (e.g., Databricks, Data Factory). Proficiency in programming languages such as SQL, Python, R, or Scala. Substantial knowledge and experience with Python libraries such as PySpark and Pandas. Strong experience with SQL and database management (e.g., MySQL, PostgreSQL, SQL Server). Excellent More ❯

to drive business insights. Experience in Oracle Cloud ERP, HCM, or SCM data structures, with the ability to integrate multiple Oracle Cloud modules. Hands-on experience with PL/SQL, data transformations, and BI Publisher, as well as Oracle’s built-in analytics tools. Strong understanding of business intelligence principles, including trend analysis, forecasting, and predictive analytics. Ability to independently More ❯

equivalent experience. Proven experience (>6 years) as a Data Engineer or similar role. Experience with data pipeline, ETL, and workflow management tools (e.g., Databricks, Data Factory). Proficiency in SQL, Python, R, or Scala. Knowledge of Python libraries such as PySpark and Pandas. Experience with SQL and database management systems like MySQL, PostgreSQL, SQL Server. Strong problem-solving, analytical, and More ❯

Engineer: Provide clean, tested, transformed and modelled data in a way that empowers end users. Deliver impactful data products and dashboards with limited senior support, using tools such as SQL, Power BI, MS Fabric, Tableau. Enhance and maintain existing data products and data pipelines using the appropriate technologies. Apply software engineering best practices like version control and CI/CD … and ensure we stay true to our Customers, Owners and Colleagues alike. Essential Experience: Bachelor's degree in a numerate discipline or an equivalent analytical apprenticeship Strong proficiency in SQL Good understanding of ETL/ELT processes Exposure to Python or any other object-oriented programming languages Experience with modern data stack tools and cloud-based data warehouses like MS … Experience using JIRA and Bitbucket or GitHub Other Useful Experience: Experience with Apache Kafka (or any other data streaming technologies) Experience with AWS products (S3, Athena, etc) Experience with SQL Server data warehousing (SQL Server, SSIS and SSAS). Forge Holiday Groups Company Benefits Annual STIP Company-wide Bonus Scheme offering up to an additional 10% of your salary through More ❯

through technology. Responsibilities: Configure and support ERP systems, including customizing workflows and resolving user issues. Collaborate with Business Analysts to identify and automate business processes. Develop backend solutions using SQL, Oracle, and Crystal Reports to support business needs. Create and maintain technical documentation and reusable ERP components. Apply agile and continuous improvement practices to enhance system performance and user experience. … Desirable skills: Strong communication and collaboration skills, especially under pressure. Technical proficiency in SQL, Power Automate, Power Apps, and ERP systems. Analytical thinking and a structured approach to problem-solving. Ability to present technical concepts to non-technical stakeholders. Familiarity with coding languages such as .NET, Python, JavaScript, or C# is a plus. Proactive and hands-on with a “can … and credible in interactions with stakeholders. Team player with a strong sense of ownership and accountability. Demonstrable experience with automation tools (e.g., Power Automate, Power Apps). Experience with SQL (Microsoft and Oracle), data lakes, and data warehouses. Knowledge of additional coding languages is preferred but not essential. Strong written and verbal communication skills. Aptitude for logical thinking and structured More ❯

decision-making within a dynamic and fast-paced insurance environment. You will be responsible for designing, developing, and maintaining end-to-end BI solutions using Power BI, DAX, and SQL, working closely with underwriters, actuaries, finance, and senior stakeholders. Key Responsibilities Design, build and optimize interactive Power BI dashboards and reports tailored to the Lloyd's insurance market. Working specifically … with underwriting teams to support their BI processes. Write efficient DAX measures and calculated columns to support analytical requirements. Develop robust SQL queries, stored procedures, and ETL processes to source and transform data. Translate complex data requirements into scalable BI solutions. Collaborate with business users to gather requirements and deliver meaningful insights. Lead data governance and quality initiatives to ensure … insurance-specific data models including premiums, claims, exposures, and bordereaux. Hands-on experience working with data warehouses, data marts, and ETL pipelines. Solid knowledge of relational databases (e.g., MS SQL Server, Azure SQL). Excellent problem-solving skills and ability to work independently or as part of a team. Strong stakeholder management and communication skills. Desirable Experience with cloud-based More ❯

data visualisations and reports. This will also include the delivery of accurate data extracts and the development of robust data transformations. The successful candidate will be an experienced MS SQL and MS BI stack developer, with a proven ability to play a lead role in large and complex projects. They will be proactive in their approach and confident dealing with … a range of stakeholders, both internal and external alike. The successful candidate will: Lead on the development of data warehouses (SQL Server), data visualisations and reports (SSRS and Power BI), and data transformations (SQL, SSIS) Provide ongoing support for on-premise and Azure production data warehouses and reporting, including remote installs and upgrades on live customer sites Take on the … validation as required The role requires: In-depth 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 datasets and More ❯

modern data engineering and reporting. Including storage, data pipelines to ingest and transform data, and querying & reporting of analytical data. You've worked with technologies such as Python, Spark, SQL, Pyspark, PowerBI etc. You’ve got a background in software engineering, including Front End technologies like JavaScript. You’re a problem-solver, pragmatically exploring options and finding effective solutions. An More ❯

change and innovative, we want to hear from you. What will you be doing? As a Data Engineer, you will be responsible for designing, developing, and maintaining our MS SQL Server Data Warehouses and associated data feeds into and out of the warehouses, and developing on our new modern cloud data platform, requiring Snowflake, dbt and Azure Data Factory experience. … data storage, and GitHub for version control and collaboration. As a Data Engineer, Your Responsibilities Will Include Design, develop, and implement data warehouse solutions using Snowflake, Azure, and MS SQL Server. Develop data models and database schemas that support reporting and analytics needs. Extensive use of and fully conversant in SQL. Experience working with programming languages like C#, Python, Java … architecture, ETL processes, and database configurations. Qualifications To 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 development. Experience More ❯

HTML5, CSS3, and responsive web design. Experience working with .NET, C#, or similar backend frameworks (beneficial for full-stack capability). Knowledge of cloud services, preferably Azure. Familiarity with SQL Server, Azure SQL, or CosmosDB. Experience using Git, Azure DevOps, or GitHub for version control and CI/CD. Strong communication skills and stakeholder engagement experience. Excellent problem-solving and More ❯

technology 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-solving skills. Remote More ❯

.Net Core Experience leading teams and mentoring junior team members Experience using REST APIs (building of REST APIs nice to have) Experience in implementing and using other data stores (SQL/SharePoint/Lists) Experience working with testing strategies and tools for Power Platform solutions Experience working with ALM strategies for the Power Platform Experience with Agile methodologies and working More ❯

and/or Synapse Analytics using PySpark. Solution design experience across the data lifecycle. Proficiency with Azure services such as Data Factory, Azure Functions, ADLS Gen2, Key Vault, Synapse SQL, and Azure SQL. Programming skills in Python, C#, and PowerShell. Understanding of infrastructure as code. Experience with data modeling, testing, and operational support documentation. Excellent communication skills and a proactive More ❯

infrastructure. Mentor junior developers and promote engineering best practices 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 More ❯

particularly Azure PaaS Experience with source control and CI/CD tools (Git, Azure DevOps, GitHub/GitLab) Skilled in multiple programming languages, ideally including: .Net (C#) PowerShell T-SQL Deep understanding of the software development lifecycle and Agile methodologies Proven experience in DevOps/SRE practices, CI/CD pipelines and Infrastructure as Code (Terraform, Bicep, ARM) Solid understanding More ❯

and stakeholder management skills when engaging with customers Significant experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) Strong proficiency in SQL and experience with relational databases such as MySQL, PostgreSQL, or Oracle Experience with big data technologies such as Hadoop, Spark, or Hive Familiarity with data warehousing and ETL tools such More ❯

with a 2:1 or higher. 2-3 years of experience as a Data Engineer. Proven experience with Azure Data Services (Data Factory, Data Lake). Database skills (MS SQL Server, MySQL, PostgreSQL, MongoDB, Cassandra). Excellent SQL skills. Skills in data visualization (Power BI). Strong Python programming skills. Understanding of ETL development and data modeling. Effective communication and More ❯

e.g. Windows 7 Embedded, Windows 10, Windows Server 2012 R2, 2014, 2016). XML (including XSLIT, DOM, SAX) JavaScript AngularJS REACT ASP.NET MVC Encryption & Authentication (e.g. SSL) HTML 5 SQL (e.g. Microsoft SQL Server 2012, 2014, 2016). WiX Python Linux Education: Bachelor or Master degree in Electrical/Electronic or Computer Science and Technology, Software Engineering or other relevant More ❯

validation rules. What They're Looking For: Experience in a data-focused role, with a strong passion for working with data and delivering value to stakeholders. Strong proficiency in SQL, Python, and Apache Spark , with hands-on experience using these technologies in a production environment. Experience with Databricks and Microsoft Azure is highly desirable. Financial Services experience is a plus More ❯

Data curious, aware of how to use data effectively and interest in new/emerging trends in the data analytics space. Experience with one or more of Microsoft Fabric, SQL, or Python. Excellent Microsoft Excel skills and its integration with Power BI. Experience in Financial services or Banking preferred. Desirable Skills Knowledge and experience of Machine Learning technologies. Knowledge and More ❯

Data curious, aware of how to use data effectively and interest in new/emerging trends in the data analytics space. Experience with one or more of Microsoft Fabric, SQL, or Python. Excellent Microsoft Excel skills and its integration with Power BI. Experience in Financial services or Banking preferred. Desirable Skills Knowledge and experience of Machine Learning technologies. Knowledge and More ❯

Data curious, aware of how to use data effectively and interest in new/emerging trends in the data analytics space. Experience with one or more of Microsoft Fabric, SQL, or Python. Excellent Microsoft Excel skills and its integration with Power BI. Experience in Financial services or Banking preferred. Desirable Skills Knowledge and experience of Machine Learning technologies. Knowledge and More ❯

Data curious, aware of how to use data effectively and interest in new/emerging trends in the data analytics space. Experience with one or more of Microsoft Fabric, SQL, or Python. Excellent Microsoft Excel skills and its integration with Power BI. Experience in Financial services or Banking preferred. Knowledge and experience of Machine Learning technologies. Knowledge and experience of More ❯