226 to 250 of 2,272 SQL Jobs in England

Design, develop, and deploy applications using Google Cloud Functions (Python or Node.js). Implement and optimize data pipelines using Google Cloud Dataflow. Manage and query relational databases using Cloud SQL (PostgreSQL/MySQL). Handle file operations and trigger-based workflows using Google Cloud Storage. Configure and manage access controls using Google Cloud IAM (service accounts and permissions). Integrate More ❯

data sources, methodologies, and processes. Requirements: Previous experience of working within Property or Social Housing Proven experience as a Data Analyst or in a similar analytical role. Proficiency in SQL and at least one programming language (e.g., Python, R). Experience with data visualization tools such as Tableau, Power BI, or similar. Strong knowledge of Excel (pivot tables, advanced formulas More ❯

into solutions Comfortable working independently and taking ownership of technical decisions Agile mindset and ability to adapt to changing priorities and technologies The Technical Environment Includes: Python, React, JavaScript SQL, Power BI, Power Query Git, modern development tools and cloud-based systems Flexible on specific technologies – the focus is on capability and adaptability What’s on Offer: Salary up to More ❯

into solutions Comfortable working independently and taking ownership of technical decisions Agile mindset and ability to adapt to changing priorities and technologies The Technical Environment Includes: Python, React, JavaScript SQL, Power BI, Power Query Git, modern development tools and cloud-based systems Flexible on specific technologies the focus is on capability and adaptability What s on Offer: Salary up to More ❯

of data with excellent attention to detailKnowledge of a wide variety of Generative AI modelsConceptual understanding of how large language models workProficiency in coding languages for data manipulation (e.g., SQL) and machine learning & AI development (e.g., Python)Experience with dashboarding tools such as Power BI and Tableau (beneficial but not essential)Experience with cloud native tooling for Azure and AWSStrong More ❯

product, business stakeholders) to translate business challenges into robust technical requirements and ensure seamless delivery. Key Technical Skills: Exceptional proficiency in Python (and R) for data science, coupled with SQL capabilities for data manipulation and extraction. Demonstrable mastery in a wide range of machine learning and statistical modelling techniques, from classical linear models and tree-based methods to advanced deep More ❯

product, business stakeholders) to translate business challenges into robust technical requirements and ensure seamless delivery. Key Technical Skills: Exceptional proficiency in Python (and R) for data science, coupled with SQL capabilities for data manipulation and extraction. Demonstrable mastery in a wide range of machine learning and statistical modelling techniques, from classical linear models and tree-based methods to advanced deep More ❯

data, ML, and AI. What we re looking for • A background in data science or advanced analytics (insurance/financial risk exposure is a plus). • Strong Python and SQL skills, with experience working with large structured and unstructured datasets. • Experience building interactive dashboards and reporting tools. • Familiarity with data engineering, ETL processes, and data pipelines. • Experience with statistical modelling More ❯

data, ML, and AI. What we’re looking for • A background in data science or advanced analytics (insurance/financial risk exposure is a plus). • Strong Python and SQL skills, with experience working with large structured and unstructured datasets. • Experience building interactive dashboards and reporting tools. • Familiarity with data engineering, ETL processes, and data pipelines. • Experience with statistical modelling More ❯

to work in the UK and meet the following criteria: Required Skills & Experience: Bachelor's degree in Computer Science, Mathematics, Statistics, Business Administration or related field Advanced knowledge of SQL Good knowledge of Python, including popular Data Science packages (pandas, matplotlib, seaborn, numpy, sklearn) Familiarity with what is happening under the hood of popular Machine Learning algorithms Strong problem-solving More ❯

5+ years of experience delivering end-to-end data science solutions in a commercial setting. * Strong technical expertise in machine learning, predictive modelling, and AI. * Proficient in Python, R, SQL, and familiar with Power BI or similar visualisation tools. * Experience applying Gen AI tools or techniques is highly desirable. * Solid understanding of stakeholder engagement and business communication. * Educated to degree More ❯

to collect, clean, analyse, and present data to support strategic decision-making and influence business growth. Key Skills You'll Learn: Handling, cleaning and analysing data using Microsoft Excel, SQL, Python and more Data visualisation, reporting and storytelling Data engineering and modelling, and ETL pipelines Data governance & ethics, including data protection, compliance, and responsible AI use Your Career Starts Here More ❯

architecture and application development. Good knowledge of multi-processing and multi-threaded programming. Solid understanding of design patterns, SOLID principles, and unit testing practices. 2+ years of experience with SQL, including query optimization and execution plan analysis. Experience with auditing, and CI CD processes, Bitbucket (Github), Team City, setup and create pipelines. Proficiency in data modelling, data management processes, and More ❯

maths or related numerate subject, OR equivalent practical experience, Strong experience with PHP and Symfony framework (or similar application framework), Proficiency in working with databases (MySQL, PostgreSQL, and non-SQL databases), Experience developing AWS cloud services and hands-on deployment experience, A good understanding of application development and best practices, Any of the following personal skills would be very beneficial More ❯

candidate will actively participate towards a variety of trust wide projects, alongside a range of stakeholders. Alongside this, the candidate will demonstrate a high technical competency in programming languages (SQL, R, Python or similar) and time management skills required to be able to deliver high quality and accurate outputs, in line with project requirements, governance/assurance processes and deadlines. More ❯

Computer Science, or a similar area 5+ years of experience working as a professional software engineer, data in industry Expertise with Python coding and type system Expertise in writing SQL (GQL, PostgreSQL, and BigQuery are a plus) Experience with building both batch and streaming ETL pipelines using data processing engines Deep understanding of building Knowledge Graphs entailing biological ontologies, and More ❯

hands-on expertise in data modelling, distributed systems, and pipeline orchestration (Airflow, Step Functions) Background in energy, trading, or financial markets is a strong plus Excellent knowledge of Python, SQL, and data governance frameworks Experience working with stakeholders in fast-paced, data-sensitive environments Comfortable with DevOps/Infra-as-Code: Terraform, CloudFormation, CI/CD pipelines Strong communication and More ❯

hands-on expertise in data modelling, distributed systems, and pipeline orchestration (Airflow, Step Functions)* Background in energy, trading, or financial markets is a strong plus* Excellent knowledge of Python, SQL, and data governance frameworks* Experience working with stakeholders in fast-paced, data-sensitive environments* Comfortable with DevOps/Infra-as-Code: Terraform, CloudFormation, CI/CD pipelines* Strong communication and More ❯

our successful client based in Manchester. We are looking for candidates with a strong analytical mindset with excellent communication skills. The ideal Data Analyst will have: Power BI DAX SQL Agile/Kanban Worked with source control Financial industry experience R A good team player, you must be able to transfer your knowledge with other members of the team You More ❯

Apply security practices including access control and data protection. Troubleshoot issues and work independently to research and resolve problems. Contribute to projects involving Microsoft Azure, Azure AD, Automation, PowerShell, SQL, Web Services, JSON, and coding languages such as Python or C# (advantageous but not essential). Skills and Experience Practical experience with Power Platform. Problem-solving skills and ability to More ❯

iterative methodologies, such as Scrum or Design Thinking, using DevOps platforms such as Azure DevOps and Git Considerable and proven experience in Azure Cloud Services, e.g. Azure Functions, Azure SQL, and Azure App Service More ❯

of-day (EOD) and historical data, ensuring the reliability and integrity of our market data for the Oil Trading Division. Required Skills: Strong programming skills in Python; proficiency in SQL is also required. Advanced analytical capabilities, with a knack for interpreting complex datasets and designing innovative solutions. Experience with Typescript, Angular, React. Experience with .NET technologies. Exposure to financial markets More ❯

their new enterprise data platform initiatives. This role will need someone with deep knowledge around data testing, automation and Quality governance across cloud-based data solutions. Core tech stack: SQL test automation DBT Test, Pytest data modelling Key requirements: Define and implement an end-to-end test strategy Establish robust data validation and test data management frameworks Drive automation and More ❯

in banking Understanding of risk/financial terminology, or interest in developing this knowledge Strong technical skills in Power BI and Python Willingness to learn and apply SAS and SQL as needed McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds. More ❯

Background in integrating Power Platform with SharePoint, Dynamics 365, or other core business systems. Ability to engage stakeholders, capture requirements, and translate them into scalable solutions. Desirable: knowledge of SQL, Azure Data Services, or API integrations. More ❯