601 to 625 of 4,693 SQL Jobs in the UK excluding London

strong understanding of Microsoft’s ecosystem and the ability to translate business needs into smart, scalable solutions. • Proven experience with Microsoft 365 and Power Platform (PowerApps, PowerAutomate, Dataverse) • Strong SQL skills, including data modeling, performance tuning, and ETL processes • Hands-on experience with SharePoint, Teams, and Exchange integration • Experience with Azure DevOps, API integration, and application lifecycle management • Excellent communication More ❯

strong understanding of Microsoft’s ecosystem and the ability to translate business needs into smart, scalable solutions. • Proven experience with Microsoft 365 and Power Platform (PowerApps, PowerAutomate, Dataverse) • Strong SQL skills, including data modeling, performance tuning, and ETL processes • Hands-on experience with SharePoint, Teams, and Exchange integration • Experience with Azure DevOps, API integration, and application lifecycle management • Excellent communication More ❯

strong understanding of Microsoft’s ecosystem and the ability to translate business needs into smart, scalable solutions. • Proven experience with Microsoft 365 and Power Platform (PowerApps, PowerAutomate, Dataverse) • Strong SQL skills, including data modeling, performance tuning, and ETL processes • Hands-on experience with SharePoint, Teams, and Exchange integration • Experience with Azure DevOps, API integration, and application lifecycle management • Excellent communication More ❯

ll work with client teams to deliver intelligent data products, leveraging modern cloud and AI technologies. Key Responsibilities Design and implement robust data pipelines and ML workflows using Python, SQL, Spark, and Databricks. Develop and deploy machine learning models (including NLP, deep learning, and agentic AI) in production environments. Integrate data from diverse sources, including streaming and batch ingestion, using More ❯

backend (.NET, C#) and frontend (ReactJS) Proficient in cloud platforms Azure preferred Skilled in designing and consuming REST/GraphQL APIs Strong understanding of data modelling and database technologies (SQL, NoSQL, ADX or similar) Demonstrable experience with DevOps pipelines, CI/CD, and automated testing Knowledge of secure coding practices, OAuth2 authentication, and role-based access control Excellent analytical and More ❯

backend (.NET, C#) and frontend (ReactJS) Proficient in cloud platforms – Azure preferred Skilled in designing and consuming REST/GraphQL APIs Strong understanding of data modelling and database technologies (SQL, NoSQL, ADX or similar) Demonstrable experience with DevOps pipelines, CI/CD, and automated testing Knowledge of secure coding practices, OAuth2 authentication, and role-based access control Excellent analytical and More ❯

Ability to learn quickly and confidence to start adding value immediately Comfortable with an agile, CI/CD, DevOps environment Excellent communication skills, when collaborating as a team Excellent SQL and data analysis skills Quick-thinking problem solver who is comfortable with rudimentary maths and geometry Skilled at proposing, collaborating, and documenting development strategies Experience with automated testing tools such More ❯

able to evidence prior leadership experience in a similar role. You will have strong Mobile Network domain knowledge. You will be proficient in programming languages (such as Python, R, SQL, etc.). You will be an expert in data visualisation tools (Power BI, Tableau - Tableau preferred). You will have knowledge of machine learning algorithms and their applications. Hands-on More ❯

you'll need to succeed Experience in a financial analysis role, ideally with exposure to accounting, audit or finance. Strong IT skills, including: Advanced Excel (modelling, pivot tables, macros) SQL for data extraction and manipulation Experience with coding or scripting (e.g. Python, R) is advantageous. Familiarity with data visualisation tools (e.g. Power BI, Tableau) are desirable. Excellent analytical and problem More ❯

a Data Engineer, with strong expertise in designing and managing large-scale data systems. Hands-on proficiency with modern data technologies such as Spark, Kafka, Airflow, or dbt. Strong SQL skills and experience with cloud platforms (Azure preferred). Solid programming background in Python, Scala, or Java. Knowledge of data warehousing solutions (e.g. Snowflake, BigQuery, Redshift). Strong understanding of More ❯

data warehousing, or cloud-based data engineering. Deep technical expertise in the Microsoft ecosystem - Power BI/Fabric, Azure, and Power Platform (Power Apps, Power Automate). Proficiency in SQL and data modelling, with a strong understanding of data governance and performance optimisation. Solid understanding of automation technologies and their application at scale. Experience in Agile delivery environments, balancing quality More ❯

data warehousing, or cloud-based data engineering. Deep technical expertise in the Microsoft ecosystem - Power BI/Fabric, Azure, and Power Platform (Power Apps, Power Automate). Proficiency in SQL and data modelling, with a strong understanding of data governance and performance optimisation. Solid understanding of automation technologies and their application at scale. Experience in Agile delivery environments, balancing quality More ❯

environments. Strong programming skills with the ability to write clean, scalable, and maintainable code. Proficiency in modern JavaScript/TypeScript and Node.js; our primary stack includes React, Node.js, Python, SQL databases and DynamoDB. Experience with cloud platforms (AWS, Azure, or GCP) and containerization technologies like Docker. Familiarity with CI/CD practices and tools (GitHub Actions, Jenkins, GitLab CI, or More ❯

environments. Strong programming skills with the ability to write clean, scalable, and maintainable code. Proficiency in modern JavaScript/TypeScript and Node.js; our primary stack includes React, Node.js, Python, SQL databases and DynamoDB. Experience with cloud platforms (AWS, Azure, or GCP) and containerization technologies like Docker. Familiarity with CI/CD practices and tools (GitHub Actions, Jenkins, GitLab CI, or More ❯

business insights and support decision-making. Enforce data quality standards, governance frameworks, and robust security protocols across all data platforms. Requirements Proven expertise in data engineering and using Azure, SQL, and Databricks, including implementing medallion architecture frameworks for scalable, reliable, and governed data solutions. Strong leadership and mentorship capabilities, guiding teams through complex deliveries, fostering collaboration, and ensuring adoption of More ❯

business insights and support decision-making. Enforce data quality standards, governance frameworks, and robust security protocols across all data platforms. Requirements Proven expertise in data engineering and using Azure, SQL, and Databricks, including implementing medallion architecture frameworks for scalable, reliable, and governed data solutions. Strong leadership and mentorship capabilities, guiding teams through complex deliveries, fostering collaboration, and ensuring adoption of More ❯

business insights and support decision-making. Enforce data quality standards, governance frameworks, and robust security protocols across all data platforms. Requirements Proven expertise in data engineering and using Azure, SQL, and Databricks, including implementing medallion architecture frameworks for scalable, reliable, and governed data solutions. Strong leadership and mentorship capabilities, guiding teams through complex deliveries, fostering collaboration, and ensuring adoption of More ❯

build on continued success on a global scale. Key responsibilities Designing, building, deploying and/or managing AI solutions using industry leading approaches across technologies such as Python, Git, SQL and other relevant technologies Engaging with clients at all levels across the organisation both business & technology functions Nurturing long term trusted advisor relationships Training and managing junior staff and client More ❯

environments , identify opportunities, and prioritise effectively . Skilled in problem-solving with a discovery-first mindset and a strategic approach to driving results. Proficiency in data analysis tools (e.g., SQL, Python, Tableau, PowerBI, etc.) and ability to interpret and translate complex datasets into actionable insights. Familiarity with technical concepts and proven ability to collaborate effectively with engineering and data science More ❯

more of these technical skills C#/.Net NodeJS Web API Messaging ( Rabbit or Kafka) Kubernetes/Docker AWS/Azure GIT Terraform ORMs eg Entity Framework/NHibernate SQL Document DB REST SOLID TDD Agile/SCRUM Dev Ops CI/CD Experience Experience working as part of Scrum teams, working on green and brownfield solutions using the latest More ❯

problems proactively will be critical to project success. What We’re Looking For Technical Skills: Strong experience with Java (1.6/1.8), Spring, REST APIs, and Oracle PL/SQL Solid frontend experience with React (preferred) or JavaScript/TypeScript Knowledge of microservices, Maven, Kubernetes/Docker, and cloud platforms (Azure/AWS) Familiarity with Agile/Scrum methodologies, sprint More ❯

understand their needs and challenges. Skills and experience you need as Senior Data Analyst: Proven experience as a Data Analyst in insurance or financial services, ideally within Claims. Strong SQL skills, experience of using Central Data platforms, data tools such as Excel and Power BI. Experience with Agile delivery methodologies and working in cross-functional squads. Knowledge of SAS and More ❯

engineering within capital markets; proven delivery of research to production quant solutions at scale. Demonstrable experience with large scale datasets, data engineering workflows, and production automation. Python (production grade), SQL, Linux; strong software engineering (testing, type hints, code review, packaging). Cloud (AWS/Azure/GCP), CI/CD, Docker/Kubernetes; workflow orchestration (Airflow/Prefect); experiment tracking More ❯

ll likely bring: Experience in senior analytics or insights roles. Proven success in leading and developing high-performing teams. Strong expertise in data analysis, statistical modelling, and visualisation tools (SQL, R, Python, Power BI). Experience with data warehousing and BI platforms. Excellent communication and storytelling skills, with the ability to influence at senior levels. A strategic mindset, with a More ❯

ll likely bring: Experience in senior analytics or insights roles. Proven success in leading and developing high-performing teams. Strong expertise in data analysis, statistical modelling, and visualisation tools (SQL, R, Python, Power BI). Experience with data warehousing and BI platforms. Excellent communication and storytelling skills, with the ability to influence at senior levels. A strategic mindset, with a More ❯