1 to 25 of 1,391 Remote SQL Jobs in the UK excluding London

practices. Ideal candidate qualities: Passionate about technology, especially the Microsoft development stack, Azure Cloud, and Data Engineering technologies. Experience with Azure tools or MS SQL databases is desirable. Interest or experience in AI and developing custom copilot applications. Self-motivated, eager to learn, and committed to continuous improvement and industry More ❯

ensure successful adoption of reporting. Requirements Proven experience with PowerBI and data visualisation. Ideally 5 years plus. Strong knowledge of data warehousing principles. Strong SQL expertise, understanding of ETL, DAX, Power Query. Ability to maintain and enhance semantic models. Knowledge of dimensional data modeling (Kimball), Data warehousing concepts, OLAP. Excellent More ❯

but also driven, collaborative, and solutions-focused. Experience & Knowledge: Proven experience building solutions with Power BI, Power Apps, and Power Automate Strong data modelling, SQL, and data warehousing knowledge Familiarity with Microsoft 365 and Azure environments Microsoft Power Platform certifications (or working towards them) Understanding of JavaScript, HTML, CSS (for More ❯

data engineering, systems analysis, or data analysis Education: Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field Languages & Tools: Python, SQL, APIs, Tableau/Power BI, Talend/Informatica, AWS Databases: MSSQL, PostgreSQL, MySQL, NoSQL Cloud: AWS (preferred), with working knowledge of cloud-based data solutions More ❯

Essential skills we would love you to have: Strong analytical experience in the use of MS Office Applications (Excel and Powerpoint), Programming Languages (Python, SQL, R) and Visualisation Tooks (such as Tableau and Power BI) Excellent communication skills with the ability to interpret complex data and translate this to business More ❯

Science, Information Technology, or related field. Proven experience in developing solutions with Power BI, Power Apps, and Power Automate. Strong understanding of data modelling, SQL, and data warehousing principles. Familiarity with Microsoft 365 and Azure services. Certifications in Microsoft Power Platform or related areas. Experience with AI Builder and other More ❯

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 More ❯

machine learning, statistical methods, and predictive modelling. Expertise in programming with Python or R, including optimization, modularization, and best practices. Hands-on experience with SQL and working with relational databases, data lakes, and cloud platforms. Exposure to Azure Data Services, Fabric, Synapse, or related cloud technologies is highly desirable. Proven More ❯

database systems Editing source-code Providing tech support Report/Dashboard creation Systems knowledge of as many of the following: Essential - Dot net framework; SQL; Javascript; Typescript Desirable – Python; AJAX; PHP; HTML; Power BI; Report Builder Skills, Education and Experience required Degree in computer science or computer programming More ❯

skills required: Expertise in Python, Java, Scala, or other programming languages used to build data pipelines, implement data transformations, and automate data workflows. Strong SQL experience. Strong knowledge of data visualisation tools knowledge such as Power BI, Tableau, QlikView etc. Familiarity with technical data structures, data pipelines and data science More ❯

Computer Science, or a related field. Proven experience as a Data Analyst or in a similar role. Proficiency in data analysis tools such as SQL, Python, R, and Excel. Experience with data visualisation tools like Tableau or Power BI. Strong analytical and problem-solving skills. Excellent communication and presentation skills. More ❯

experience in leading and managing a team of data engineers. Proficiency in programming languages such as PySpark, Python (with Pandas if no PySpark), T-SQL, and SparkSQL. Strong understanding of data modeling, ETL processes, and data warehousing concepts. Knowledge of CI/CD pipelines and version control (e.g., Git). More ❯

one or more programming languages (e.g., Java, C#, Python, etc.). Experience in designing and developing API services and RESTful applications. Familiarity with databases (SQL and NoSQL) and cloud technologies (AWS, Azure). Knowledge of version control systems (e.g., Git). Strong problem-solving skills and the ability to work More ❯

s degree in a quantitative field : Preferably in Statistics, Mathematics, Economics, Computer Science, or a related discipline. Experience with data analysis tools : Proficiency in SQL, Python, or R for data analysis, manipulation, and reporting. Data visualisation skills : Experience with tools like Tableau, Power BI, or similar to present complex data More ❯

environment. Exceptional analytical and problem-solving skills. Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams. Experience with SQL and database testing. Proactive attitude towards quality assurance and a passion for continuous improvement. Desirable Qualifications: Experience with cloud-based testing environments (AWS, Azure). More ❯

ETLs or data pipelines crucial to a production system. Experience working in a cross-functional team to deliver technical solutions. Desirable Skills: Experience with SQL Server, SSIS, Azure Data Factory, and Azure SQL. Experience with Cloud and Infrastructure as Code, particularly in an Azure setting using Bicep. Understanding of DevOps More ❯

software development, software automation, or equivalent combination of education and experience Familiarity of one or more of the following is required: .Net and C#, SQL, JavaScript, ASP.Net MVC, Java Familiarity with Microsoft Visual Studio and the use of Azure DevOps or Jira would be an advantage Beneficial to have experience More ❯

Experience in a similar role, emphasizing data analysis and product development Solid understanding of data modelling, database design, and data integration techniques. Proficiency in SQL, Python, and data visualization tools such as Tableau or Power BI. Strong analytical and problem-solving skills, with the ability to translate complex data into More ❯

and maintaining CI/CD alm toolkit; Implementing Dynamics CRM Master Data Model using Azure Logic Apps and Power Automate. Desirable: Strong knowledge of SQL and data processing libraries like Pandas. Experience with Amazon Redshift or similar technologies. Knowledge of agile software development practices, and examples of providing leadership in More ❯

of experience in data analysis or a related field, preferably within a retail business environment. Strong proficiency in data analysis tools and software (e.g., SQL, Python, R, Excel) and visualization tools (e.g., Power BI, Tableau). Excellent quantitative and qualitative analytical skills with a solid attention to detail. Strong verbal More ❯

across the data platform. Knowledge, Skills and Experience: Essentia l Strong expertise in Databricks and Apache Spark for data engineering and analytics. Proficient in SQL and Python/PySpark for data transformation and analysis. Experience in data lakehouse development and Delta Lake optimisation. Experience with ETL/ELT processes for More ❯

scalability. Share knowledge across teams and contribute to a culture of data-driven decision-making. Skills and Qualifications; Essential; Technical and Analytical; Proficiency in SQL and experience working with data warehouses (e.g. BigQuery). Demonstrated experience building dashboards and reports in tools such as Looker Studio, Power BI, Tableau, or More ❯

Experience in a similar role, emphasizing data analysis and product development. Solid understanding of data modelling, database design, and data integration techniques. Proficiency in SQL, Python, and data visualization tools such as Tableau or Power BI. Strong analytical and problem-solving skills, with the ability to translate complex data into More ❯

Bonus + benefits 📍The role is hybrid, 2 days per week in the office 🚂 Closest stations are Liverpool Street 🧑‍💻 Power BI, DAX, Data modelling, SQL Responsibilities of the Business Intelligence Analyst include; performing a prominent role in the Data/BI centre of excellence, BI platform architecture, liaising with data … lines, advanced data modelling. Key Skills for the Business Intelligence Analyst • Advanced Power BI (Modelling, Visualisation, Security, Platform Architecture and Administration) • DAX expressions • Advanced SQL skills (SQL, T-SQL, PL/SQL) • Knowledge of Kimball data modelling methodology If you are interested in this Business Intelligence Analyst role, please reply More ❯

and integration of financial applications. Investran or similar platform certifications beneficial. Good working knowledge of Accounting Platform database structures and data models. Proficiency in SQL and data query languages to extract and manipulate data. Experience beneficial in Object Oriented language development, including integrations with SOAP and REST based APIs. Familiarity More ❯