76 to 100 of 6,668 SQL Jobs in the UK

Qualifications Bachelor's degree in computer science, engineering or related field. Minimum of 3 years of experience in data engineering roles. Strong proficiency in SQL, ETL processes and database management systems (e.g., MySQL, PostgreSQL, MongoDB). Hands-on experience with AWS services for data processing, storage and analysis (e.g., S3 More ❯

Azure-hosted environments and migration processes. Experience with Power Apps, Power Automate, and Power BI for enhancing Dynamics 365 functionality. Proficient in JavaScript, MS SQL, MS CRM SDK, C# .NET and other relevant programming languages. Familiarity with data migration, integration, and synchronization between Dynamics 365 and external systems. Understanding of 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 ❯

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 ❯

effectively. Strong understanding of data governance principles and best practices. Manage a team of product owners/data analysts and set objectives. Proficiency in SQL and experience with data visualization tools such as Tableau or Power BI. Familiarity with programming languages like Python or R for data analysis. Experience with More ❯

effectively. Strong understanding of data governance principles and best practices. Manage a team of product owners/data analysts and set objectives. Proficiency in SQL and experience with data visualization tools such as Tableau or Power BI. Familiarity with programming languages like Python or R for data analysis. Experience with More ❯

Systems, or other equivalent. Experienced in data analysis, BI, or a related area. Familiarity with BI tools (e.g. Tableau, Power BI, Looker) and basic SQL for data querying. Proficiency in Microsoft Excel for data manipulation and reporting. Solid ability to analyse and interpret data, with keen attention to detail. Basic 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 ❯

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 ❯

front-end). A degree (or equivalent professional experience) in Computer Science, Engineering, or other relevant field. Proficiency in database design and management using SQL (PostgreSQL, MySQL) and NoSQL. Experience with Linux, Virtualisation and cloud platforms such as AWS or Azure. Strong knowledge of RESTful APIs, GraphQL and microservices architecture. More ❯

front-end). •A degree (or equivalent professional experience) in Computer Science, Engineering, or other relevant field. •Proficiency in database design and management using SQL (PostgreSQL, MySQL) and NoSQL. •Experience with Linux, Virtualisation and cloud platforms such as AWS or Azure. •Strong knowledge of RESTful APIs, GraphQL and microservices architecture. More ❯

Spring Boot etc.) Experience in designing and implementing REST APIs & micro services-based solutions. Should have experience writing unit/integration tests Experience writing SQL queries and good understanding of data model, python knowledge is a plus. Working knowledge in AWS cloud (EC2, ECS, Load Balancer, Security Group, EMR, Lambda More ❯

best practices and emerging tools. YOU The ideal Data Analyst for Business Intelligence and Insights will have prior experience of: Strong technical skills in SQL, Excel, Power BI, DAX, and ideally Python or R. Experience with cloud data platforms such as Snowflake or Databricks. Deep understanding of databases , ETL frameworks More ❯

front-end). A degree (or equivalent professional experience) in Computer Science, Engineering, or other relevant field. Proficiency in database design and management using SQL (PostgreSQL, MySQL) and NoSQL. Experience with Linux, Virtualisation and cloud platforms such as AWS or Azure. Strong knowledge of RESTful APIs, GraphQL, and microservices architecture. More ❯

Some UK and international travel may be required (infrequently). Skills and Abilities: Expert in Microsoft PowerBI and Azure Data Factory. Strong in MS SQL, Graph and Fabric, KQL. Azure OpenAI, Automation accounts, Integration runtimes. Strong in Azure DevOps. Good knowledge and proven experience of consuming and analyzing data from More ❯

Azure) and containerization (Docker, Kubernetes). Strong understanding of CI/CD pipelines, DevOps practices, and software deployment strategies. Deep knowledge of database technologies (SQL and NoSQL) and performance optimization techniques. Experience in software testing, including test automation, performance testing, and security testing. Familiarity with Agile development methodologies and modern More ❯

also have: Experience: Healthcare or Retail systems Technical Skills: Proficiency in MS Office suite, Lucid, Visio, Murals Proficiency in data analysis tools such as SQL, Advanced Excel (with VBA), Python, Tableau, or Power BI Proficiency in agile management tools such as ADO, JIRA Knowledge of database management and data warehousing. More ❯

challenges and possibilities Desirable Requirements Experience with cloud-based technologies such as AWS or Azure Knowledge of financial services regulations and compliance Experience with SQL and database design and optimisation Experience with FIX protocol Experience with messaging systems such as Kafka or Artemis/RabbitMQ Familiarity with DevOps tools such More ❯

Swagger to observe behaviour of APIs. Technical awareness and experience of a service architected platform. Process analysis, data mapping and data analytical skills using SQL, Excel and Power BI. Proficiency in designing and implementing data models. Strong understanding of BI concepts and tools. Must have experience with client-facing applications More ❯

engineer with: a strong focus on C# and .NET CORE. Full stack (i.e. front end technologies such as Angular). Database technologies such as SQL, Elastic and or document storage. Familiarity with event-based systems. Experience with Agile development methodologies (e.g., Scrum, Kanban). Excellent communication, interpersonal, and problem-solving More ❯

Some UK and international travel may be required (infrequently). Skills and Abilities: Expert in Microsoft PowerBI and Azure Data Factory. Strong in MS SQL, Graph and Fabric, KQL. Azure OpenAI, Automation accounts, Integration runtimes. Strong in Azure DevOps. Good knowledge and proven experience of consuming and analysing data from More ❯

reference General Skills Software Knowledge • Demonstratable delivery experience using Azure Databricks • Solid delivery experience using ADF, ADLS Gen2, and the Azure Cloud Ecosystem • Solid SQL skills – Querying syntax, DDL and DML statements • Solid Python skills – able to use the Python programming concepts in Databricks Notebooks for data loading, transformation and More ❯

cross-functional collaboration. Proficiency in building robust data quality checks for ingested data. Experience identifying anomalies in ingested data. Strong proficiency in writing complex SQL (and similar) queries and optimize performance. Proficiency in Python or Java/Scala . Experience building and maintaining complex ETL pipelines with tools like Apache More ❯

vulnerability assessments. Technical skillset includes data models, messaging, REST, API design and development, and standard methodologies for system integration. Knowledge of Oracle Database and SQL, with experience in performance monitoring and optimization to ensure applications meet performance benchmarks. Strong attention to detail and a commitment to delivering the best user More ❯

following: Professional experience building efficient server-side applications in Python. Professional experience building efficient client-side applications in JavaScript and React. Professional experience with SQL and RDBMS technology (PostgreSQL, Oracle, SQLite, or similar). Professional experience integrating front-end and back-end components. Professional experience creating and running automated tests. More ❯