1,851 to 1,875 of 13,740 SQL Jobs in England

Have Knowledge and Experience: A minimum of 5 years of experience as a Data Analyst. Hands-on technical capability to analyze, interrogate, explore, and document datasets in a Spark & SQL-based environment Proven ability to work with stakeholders to: Assess potential data use cases and needs Document data & definitions Define quality, security, and controls Experience with Master Data systems Understanding More ❯

Have Knowledge and Experience: A minimum of 5 years of experience as a Data Analyst. Hands-on technical capability to analyze, interrogate, explore, and document datasets in a Spark & SQL-based environment Proven ability to work with stakeholders to: Assess potential data use cases and needs Document data & definitions Define quality, security, and controls Experience with Master Data systems Understanding More ❯

Have Knowledge and Experience: A minimum of 5 years of experience as a Data Analyst. Hands-on technical capability to analyze, interrogate, explore, and document datasets in a Spark & SQL-based environment Proven ability to work with stakeholders to: Assess potential data use cases and needs Document data & definitions Define quality, security, and controls Experience with Master Data systems Understanding More ❯

Have Knowledge and Experience: A minimum of 5 years of experience as a Data Analyst. Hands-on technical capability to analyze, interrogate, explore, and document datasets in a Spark & SQL-based environment Proven ability to work with stakeholders to: Assess potential data use cases and needs Document data & definitions Define quality, security, and controls Experience with Master Data systems Understanding More ❯

a keen interest in quantitative financial trading markets. Previous experience with almost any asset class will be an advantage. Key skills Expert software developer in Java Excellent database/SQL skills - ideally Oracle, MongoDB Exceptional communication skills are essential Proponent of strong software engineering techniques and agile methods, and comfortable working on both Linux and Windows Degree with high mathematical More ❯

Have Knowledge and Experience: A minimum of 5 years of experience as a Data Analyst. Hands-on technical capability to analyze, interrogate, explore, and document datasets in a Spark & SQL-based environment Proven ability to work with stakeholders to: Assess potential data use cases and needs Document data & definitions Define quality, security, and controls Experience with Master Data systems Understanding More ❯

with cross-functional teams to translate business goals into data-driven solutions. Communicate insights clearly and effectively to technical and non-technical stakeholders. Delve into large-scale datasets using SQL and perform advanced statistical techniques in Python. Continuously evaluate and improve existing models and testing frameworks to increase predictive accuracy and business impact. Requirements What We're Looking For 5+ … marketing, or product-focused roles. Deep understanding of LTV modeling, forecasting, and experimental design. Proficiency in Python for data analysis and modeling (e.g., pandas, scikit-learn, statsmodels). Advanced SQL skills and experience working with large datasets in modern data environments. Experience working with cross-functional growth or marketing teams. Competent user of data visualisation tools Comfortable working in fast More ❯

skills in a relevant role Strong problem solving skills with the confidence to recommend solutions to various stakeholders Recent, hands on experience with some of the following technologies: SAS, SQL, python, PowerBI, Power Apps, VBA Our customer first behaviours put customers and members at the heart of how we work together. They are the set of behaviours that every colleague … to set job alerts for “Analytics Consultant” roles. City Of London, England, United Kingdom £500.00-£597.00 5 days ago Brackley, England, United Kingdom 1 hour ago Data Analyst - Advanced SQL - Data Analysis and Customer Insight London, England, United Kingdom 2 days ago Bristol, England, United Kingdom 4 days ago Hackney, England, United Kingdom 5 days ago Reading, England, United Kingdom More ❯

one Cloud provider (AWS, Azure) and traditional Data Platforms Knowledge of high load and high throughput Data Platform architectures Hands-on experience with Python/Scala/Java and SQL development Experience with continuous delivery tools and technologies Knowledge of Serverless Designs, MPP Architectures, Containers, and Resource Management systems Ability to research, compare, and select appropriate tools and technologies Strong More ❯

systems and data mining. Knowledge of systems development, including system development life cycle, project management approaches and requirements, design and testing techniques. Proficiency in data modeling and design, including SQL development and database administration. Ability to implement common data management and reporting technologies, as well as the Columnar and NoSQL databases, data visualization, unstructured data, and predictive analytics. Excellent organizational More ❯

track record in delivering projects and advanced data validation experience is an advantage. Key Skills & Experience Proficiency in one or more database systems such as Amazon Aurora MySQL, Microsoft SQL Oracle, DynamoDB, etc. Expert level hands-on experience in designing, developing, and maintaining complex SQL queries, stored procedures to support various business applications. Perform advanced performance tuning and optimization of More ❯

comprehensive monitoring and governance. Collaborating closely with our Data, Tech and Product teams, you'll help shape and support our data strategy. The ideal candidate should have familiarity in SQL and cloud-based data solutions, be driven towards automated solutions and thrives in transforming complex data infrastructure into streamlined, reliable, and actionable assets. Responsibilities: Own Data Infrastructure : Design, develop, and … What we're looking for: Experience : Practical production experience building, optimising and maintaining data pipelines and warehouses, using BigQuery or similar cloud data solutions. Technical Skills : Strong proficiency in SQL and ETL/ELT frameworks and experience with data modelling, optimisation, and pipeline orchestration. Python or similar programming language is a nice to have! Cloud Proficiency : Experience working with cloud More ❯

focused role, with a strong emphasis on analytics engineering. Analytical Ability: Strong analytical and problem-solving skills for generating actionable insights with a collaborative mindset. Technical Skills: Proficiency in SQL, dbt, confident with Tableau/other BI visualisation tool, spreadsheets, for data analysis and reporting. Communication: Great stakeholder management skills, strong in conveying complex data insights to various teams. Previous More ❯

traditional ETL workflows • Solid experience building data pipelines using modern tools (Airflow, DBT, Glue etc.) and working with large volumes of structures and semi-structured data • Demonstrated experience with SQL and Python for data manipulation, pipeline development and workflow orchestration • Strong grasp of data modelling, data warehousing concepts and performance optimization techniques • Hands-on exposure to cloud platforms, especially AWS More ❯

such as Git, SVN, Artifactory, and Jira Show familiarity with continuous integration tools such as Jenkins or TeamCity Deal with big data - millions of rows a day Experience of SQL including query optimization Evaluate, engineer, customize and extend solutions Enthusiastic about learning new technologies and not afraid to roll up their sleeves to help reach the team’s challenging objectives. More ❯

built. You're a 'people person' and build relationships with customers as you will lead projects on your own. Your qualifications and experience You are a pro at using SQL for data manipulation (at least one of PostgreSQL, MSSQL, Google BigQuery, SparkSQL) Modelling & Statistical Analysis experience, ideally customer related Coding skills in at least one of Python, R, Scala, C More ❯

or Jenkins . Database Management Vector Databases: Experience with and (but not limited to) ChromaDB, Pinecone, PGVector, MongoDB , Qdrant etc. NoSQL: Familiarity with NoSQL databases (e.g., MongoDB preferred). SQL: Experience working with SQL databases like PostgreSQL. Version Control Proficient in Git and version control platforms like GitHub, GitLab, etc. Work Methodology Experience working in an agile team environment. Communication More ❯

or Jenkins . Database Management Vector Databases: Experience with and (but not limited to) ChromaDB, Pinecone, PGVector, MongoDB , Qdrant etc. NoSQL: Familiarity with NoSQL databases (e.g., MongoDB preferred). SQL: Experience working with SQL databases like PostgreSQL. Version Control Proficient in Git and version control platforms like GitHub, GitLab, etc. Work Methodology Experience working in an agile team environment. Communication More ❯

s Design Thinking to create products that provide a great user experience along with high performance, security, quality, and stability. Work with a variety of relational and NoSQL databases (SQL, Postgres, DB2, MongoDB), operating systems (Linux, Windows, iOS, Android), and modern UI frameworks (Backbone.js, AngularJS, React.js, Ember.js, Bootstrap, and JQuery). Work across the entire system architecture, from backend to … education Bachelor's Degree Required technical and professional expertise Key Responsibilities: Design, develop, and deploy high-quality applications on Azure, utilizing services like Azure App Services, Azure Functions, Azure SQL Database, etc. Collaborate with product managers and stakeholders to define, design, and ship new features. Ensure the performance, quality, and security of applications. Work closely with the DevOps team to More ❯

and system improvement. Experience supporting financial applications in a production environment. Familiarity with ticket management systems and structured support processes. Some familiarity with any of the following: Java, Python, SQL, C#, KDB. A passion for finance and technology, with a commercial mindset. Excellent communication and coordination skills. Any experience with third-party systems such as Fidessa, Bloomberg, Refinitiv, LSE, Morning More ❯

scale data systems in production Deep knowledge of ClickHouse performance internals or any other big data platform. Proven expertise in query tuning, cost optimization, and storage design Proficiency in SQL and familiarity with backend coding ( e.g., Go, Python) Strong understanding of cloud infrastructure Real-life experience with real-time analytics Excellent communication skills in English, both written and verbal Self More ❯

integration (e.g., Microsoft Graph API) IN ADDITION, THE BELOW WOULD BE NICE TO HAVE (DEPENDING ON THE TEAM) Lab 1: Cloud Enterprise and Computer Security Data & Analytics (KQL/SQL or BigQuery for GCP) Power Platform and PowerShell Lab 2: Security Operations SIEM management Advanced logging DLP technical policy development Ability to build and train machine learning models to address More ❯

integration (e.g., Microsoft Graph API) IN ADDITION, THE BELOW WOULD BE NICE TO HAVE (DEPENDING ON THE TEAM) Lab 1: Cloud Enterprise and Computer Security Data & Analytics (KQL/SQL or BigQuery for GCP) Power Platform and PowerShell Lab 2: Security Operations SIEM management Advanced logging DLP technical policy development Ability to build and train machine learning models to address More ❯

systems and data mining. Knowledge of systems development, including system development life cycle, project management approaches and requirements, design and testing techniques Proficiency in data modeling and design, including SQL development and database administration Ability to implement common data management and reporting technologies, as well as the Columnar and NoSQL databases, data visualization, unstructured data, and predictive analytics. Excellent organizational More ❯

availability solutions tailored to business needs. Architect and optimize data platforms to enable efficient data collection, storage, and processing. Implement and manage cloud-native services, including compute, storage, databases (SQL & NoSQL), and serverless architectures. Ensure cost-efficient and optimized cloud usage. Networking Focus: Design and implement secure networking solutions using AWS networking services such as VPCs, Transit Gateway, Direct Connect More ❯