526 to 550 of 4,764 SQL Jobs in England

Cycle to Work Scheme, employee retail discount scheme and free eye test vouchers About You Expert skills in JavaScript, TypeScript, React, Node.js, Express, RESTful API, GraphQL, Git, HTML, CSS, SQL Full understanding of Restful principles and OpenAPI specifications Secure design and implementation is core to your work and you have extensive knowledge of authentication, authorisation, and data protection methods You More ❯

with Jest and Playwright or similar testing frameworks. REST APIs: Strong understanding of integrating and working with RESTful services. Data Skills: Experience in data wrangling/analysis (e.g., using SQL or Python, Jupyter Notebook). Collaboration: Experience working in an Agile environment (Scrum/Kanban). Problem-Solving: Strong analytical and troubleshooting skills. Desirable Skills Familiarity with state management libraries More ❯

Strong programming skills in Python. Understanding of machine learning/AI frameworks and libraries. Hands-on experience with cloud technologies and services (e.g., AWS, Azure, Google Cloud) Experience with SQL and/or Snowflake. Some experience with Generative AI technologies (e.g. Bedrock, Langchain, LangGraph). Terms like RAG and Graphs are nothing new for you. Proficiency in data preprocessing and More ❯

Strong programming skills in Python. Understanding of machine learning/AI frameworks and libraries. Hands-on experience with cloud technologies and services (e.g., AWS, Azure, Google Cloud) Experience with SQL and/or Snowflake. Some experience with Generative AI technologies (e.g. Bedrock, Langchain, LangGraph). Terms like RAG and Graphs are nothing new for you. Proficiency in data preprocessing and More ❯

they are delivered in a timely manner. Qualifications Technically able: We're looking for individuals with a strong technical background within the Microsoft BI stack: demonstrable experience working with SQL, Power BI and SSRS. Experienced: We need somebody who can hit the ground running, drawing from a broad experience in data analysis within a business context. If you have experience More ❯

you're always eager to learn, value constructive feedback, and are excited by big goals. In terms of technical skills for the Data Analyst role, you ideally bring: Expert SQL skills to shape varied data sources into clear, actionable datasets for dashboards and broader analytics. Strong Python proficiency. Strong experience with Tableau or Power BI. Business & Analytical Skills: Ability to More ❯

Skilled in the use of Windows OS across both virtual and hardware-based infrastructures, with knowledge of virtualization platforms like VMWare ESXi and Hyper-V. Good understanding of MS SQL & Oracle DB. Experience in automated software deployment technologies including MECM. Familiarity with backup solutions, monitoring tools, and endpoint management. Experience working with application virtualisation technologies. Experience in Microsoft 365/ More ❯

equivalent practical experience. 8+ years of professional experience in software development, with demonstrable technical leadership. Essential Experience : Strong hands-on experience with Node.js, TypeScript/JavaScript, React (or Remix), SQL/NoSQL databases, and CSS. Proven track record of leading Agile development teams. Experience designing and building cloud-based, scalable applications. Familiarity with test-driven development (TDD) and version control More ❯

reporting, with a preference for those familiar with Workday Prism Analytics or similar data transformation platforms. Solid understanding of data structures, data modelling, and ETL principles. A background in SQL is highly desirable, particularly for those looking to pivot into Workday Prism or similar tools. Advanced Excel skills for ad hoc analysis and data manipulation. Strong stakeholder engagement skills, with More ❯

with large, fast-moving datasets, you'll apply advanced analytical techniques to surface trends, identify root causes and recommend predictive solutions. With a hands-on grasp of tools like SQL, Python and Power BI, you'll bring technical fluency and creative curiosity to every challenge, translating data into clear, compelling stories for senior stakeholders. In this team leadership role, you More ❯

and analytics within a marketing or media environment. Solid command of digital marketing data, reporting and performance. Familiarity with ATL, Digital and CRM measurement techniques, including econometrics. Proficiency in SQL, Python or R, and data visualisation tools such as Power BI, Tableau, or Looker. Hands-on experience with Google Cloud Platform (GCP) and experience with web and app analytics platforms More ❯

on the job! MSc or PhD, or equivalent experience in a quantitative field Deep theoretical knowledge of statistical methods and ML algorithms and their practical applications. Strong proficiency in SQL and Python, especially with core ML libraries (e.g. scikit-learn, XGBoost, SciPy, PyTorch) Extensive hands-on experience in taking advanced statistical/ML solutions from prototype to production and delivering More ❯

specifically transitioning from MSMQ to Kafka. Ensuring applications are cloud-ready without unnecessary functionality rewrites. Person Specification Essential: Strong experience with .NET 6-8 and C#. Deep understanding of SQL and relational databases. Experience with Azure (or AWS) and cloud-based architectures. Knowledge of Kafka for messaging and event-driven processing. Proficiency in Docker and containerization. Strong experience developing and More ❯

systems, specifically transitioning from MSMQ to Kafka. Ensuring applications are cloud-ready without unnecessary functionality rewrites. Person Specification Essential: Strong experience with .NET 68 and C#. Deep understanding of SQL and relational databases. Experience with Azure (or AWS) and cloud-based architectures. Knowledge of Kafka for messaging and event-driven processing. Proficiency in Docker and containerization. Strong experience developing and More ❯

experience in scripting languages such as Python, Shell, and other scripting languages to support DevOps and Quality Engineering work. Experience with building datastore solutions on at least one No-SQL(Elasticsearch) would be beneficial but not essential. Experience with Cloud Native technologies on AWS is essential Build automation tools to support CI/CD pipeline Strong Accessibility, Security, Performance and More ❯

Understanding of Cloud-based architectures in AWS or Azure Use of DevOps Automated Deployment tools such as Jenkins, Gitlab, Docker, OpenShift or Kubernetes Understanding of database technologies such as SQL, Elasticsearch or MongoDB Role Clearance Type You must currently hold the highest level of UK Government clearance Our requirement team is on hand to answer any questions and we will More ❯

analytical mindset. Some of the things we love: Strong experience of data analysis, modelling and report design, with data and analytics tooling experience & capabilities such as Tableau, PowerBI, Python, SQL Experience of data management principles, documentation, and delivery, including data mapping, metrics governance and cataloguing Proven experience of testing in in a product development environment (e.g. back-end, integration, regression More ❯

years in a leadership or management role. Proven experience with various programming languages (e.g., Java, Python, Go, C++) and development frameworks relevant to telecommunications. Solid understanding of database technologies (SQL and NoSQL). Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies. Demonstrated ability to lead and motivate a team in an agile development environment. Great-to-haves Strong More ❯

ship production applications Strong API development expertise including REST, GraphQL, and third-party integrations Proficiency in JavaScript, HTML, and CSS with modern framework experience Database design and implementation experience (SQL and NoSQL) Experience building and deploying scalable web applications in production environments Understanding of RESTful API design principles and microservices architecture Strong analytical and problem-solving abilities with attention to More ❯

success in a similar role. Experience of development, deployment, and operation of cloud solutions especially in Azure. Experience/Knowledge of Azure components such as web apps, API management, SQL/NoSQL databases, security components etc would be advantageous. Full stack individuals are highly desirable with proficiency in .NET Core, React, SQL. Either front-end (React) or backend (.NET Core More ❯

of acquiring new skills. Objective and logical with an enquiring and creative mind. It would be nice if you had : Data Engineering - experience of one or more: Apache ecosystem, SQL, Python. Web - HTML, CSS, JavaScript, XML, SOAP. Experience with Secure DevSecOps within an Agile/SAFe environment. Containerisation & Orchestration - Docker, Podman, Kubernetes, Rancher etc. Software development capability. Any form of More ❯

wide range of technologies to develop software products end-to-end involving UI, APIs, Databases, etc. Experience in building DevOps pipelines for applications and infrastructure Experience in data engineering, SQL/NOSQL databases, Big Data, and Analytics Lead SAFe by example Gathers and refines requirements by engaging with stakeholders, product manager, and QA manager DevOps/SRE improvements and ensures More ❯

wide range of technologies to develop software products end-to-end involving UI, APIs, Databases, etc. Experience in building DevOps pipelines for applications and infrastructure Experience in data engineering, SQL/NOSQL databases, Big Data, and Analytics Lead SAFe by example Gathers and refines requirements by engaging with stakeholders, product manager, and QA manager DevOps/SRE improvements and ensures More ❯

or machine learning models, ideally in AML, financial crime, or a related domain Experience working with large-scale, high-dimensional, and heavily imbalanced datasets Excellent skills in Python and SQL Solid understanding of classification algorithms such as gradient boosting decision trees, including pros and cons of different model architectures Strong feature engineering skills and experience in transforming raw data into More ❯

or machine learning models, ideally in AML, financial crime, or a related domain Experience working with large-scale, high-dimensional, and heavily imbalanced datasets Excellent skills in Python and SQL Solid understanding of classification algorithms such as gradient boosting decision trees, including pros and cons of different model architectures Strong feature engineering skills and experience in transforming raw data into More ❯