26 to 50 of 3,369 SQL Jobs in the UK excluding London

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 ❯

Bank of England. About the Role: You will be an experienced hands-on Software Developer with a strong track record in Python, C# and SQL development, with at least 5+ years in Trading Systems/Financial/Banking sector. You will be a passionate advocate of the Agile methodology, looking More ❯

experience in a data engineering or data management role, with at least 7 years of experience specifically in an AWS environment. Strong proficiency in SQL and experience with designing and maintaining data warehouses and data lakes. In-depth knowledge of AWS services such as EMR, Glue, Kinesis, and Redshift. Hands 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 ❯

. Hands-on experience with modern data warehousing and transformation tool, Snowflake. Strong knowledge of data modelling, warehousing, and real-time analytics. Proficiency in SQL, Python, Java, or similar programming languages. Familiarity with big data technologies (e.g., Spark, Hadoop) and BI tools (e.g., Power BI, Tableau). Excellent problem-solving 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 ❯

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 and Logic App/Azure Functions to support/development. Expertise with Power BI and DAX (for intelligence 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 ❯

Spring), Junit Understanding of message based architectures (MQ/Kafka) RDBMS Sybase and/or DB2 is preferable, with a proficiency in writing complex SQL queries Unix/Linux scripting (Shell/Python) Good Problem solving and analytical skills Full software development lifecycle understanding Good software development practices Excellent oral More ❯

Spring), Junit Understanding of message based architectures (MQ/Kafka) RDBMS Sybase and/or DB2 is preferable, with a proficiency in writing complex SQL queries Unix/Linux scripting (Shell/Python) Good Problem solving and analytical skills Full software development lifecycle understanding Good software development practices Excellent oral More ❯

science, engineering, mathematics, physics, operational research, econometrics, statistics, or another quantitative field. Experience in a data science and analytics role using tools such as SQL, Python, R, Power BI, and Azure. Experience with Databricks and working with large amounts of data. Ready to innovate in the field of data science More ❯

solving skills with an eye for detail. Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams. Experience with SQL and database testing. Proactive mindset with a passion for continuous improvement in testing processes. Desirable Qualifications Experience working in cloud-based testing environments (AWS, Azure 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 ❯

understanding of and recent programming experience in C#/.Net or other object-oriented languages such as Java, Python or C++. Experience working with SQL databases. Azure or AWS experience. A strong enthusiasm for programming and technology with an appetite to work in a dynamic and integrated team. An entrepreneurial More ❯

understanding of and recent programming experience in C#/.Net or other object-oriented languages such as Java, Python or C++. Experience working with SQL databases. Azure or AWS experience. A strong enthusiasm for programming and technology with an appetite to work in a dynamic and integrated team. An entrepreneurial More ❯

in Data Science, Business Analytics, Computer Science or a related field Hands-on experience with cloud data platforms (e.g., GCP, AWS, Azure) Proficient in SQL , Python , R and visualisation tools (e.g. Power BI) Strong understanding of procurement tech , S2C suites, and supply chain processes Familiar with agile ways of working More ❯

understanding of and recent programming experience in C#/.Net or other object-oriented languages such as Java, Python or C++. Experience working with SQL databases. Azure or AWS experience. A strong enthusiasm for programming and technology with an appetite to work in a dynamic and integrated team. An entrepreneurial 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 ❯

certifications Key requirements as Senior Developer: Proven experience designing and developing data-driven C# .NET applications. Familiarity with integrating various data sources such as SQL databases, MongoDB, and CosmosDB. Comfortable working with time series and numeric data, while ensuring data integrity. Strong collaborative skills and the ability to engage constructively More ❯

Warehousing Design Methodologies (e.g., Kimball dimensional models) and Data Modelling tools (e.g., ER Studio). Strong Data Analysis skills and hands-on experience with SQL/Python for data interrogation. Working knowledge of Cloud-based data and analytics solutions (e.g., Microsoft Azure, Databricks, Informatica, PowerBI) and ETL/ELT technology More ❯

experience designing scalable data platforms in the cloud using Azure D&A stack, Databricks, and Azure Open AI. Proficiency in coding (Python, PL/SQL, Shell Script), relational and non-relational databases, ETL tools like Informatica, and scalable data platforms. Experience with Azure Data and Analytics stack; familiarity with AWS More ❯