476 to 500 of 3,316 SQL Jobs in London

data, user behavior, and market trends to identify opportunities and risks. Develop and maintain dashboards and reports to track key performance indicators (KPIs). Use data analytics tools (e.g., SQL, Python, Dune Analytics) to extract actionable insights. Cross-Functional Collaboration: Work closely with engineering teams to ensure technical solutions meet business objectives. Communicate complex technical concepts to non-technical stakeholders … in the blockchain or fintech industry. - Strong understanding of DeFi protocols, smart contracts, and blockchain technology (e.g., Ethereum, Solana, Layer 2 solutions). - Proficiency in data analysis tools (e.g., SQL, Python, Excel) and blockchain analytics platforms (e.g., Dune Analytics, Glassnode). - Experience with Agile methodologies and project management tools (e.g., Jira, Trello). - Excellent problem-solving skills and the ability More ❯

data visualisation tools. ETL tools: Airflow, DBT, Airbyte, Flink, etc. Data warehousing and storage solutions: ClickHouse, Trino, S3. AWS Cloud, Kubernetes, Helm. Relevant programming languages for data engineering tasks: SQL, Python, Java, etc. What you will be doing: Designing and developing scalable and efficient data pipelines, ETL processes, and data integration solutions to support data ingestion, processing, and storage needs. … data strategies, implement data governance policies, and ensure data security and compliance. About you: Strong technical proficiency in data engineering technologies, such as Apache Airflow, ClickHouse, ETL tools, and SQL databases. Deep understanding of data modeling, ETL processes, data integration, and data warehousing concepts. Proficiency in programming languages commonly used in data engineering, such as Python, Java, or Scala. Knowledge More ❯

Challenge Lead the data & analytics function, shaping priorities, managing workload, and coaching a team of analysts to ensure output is rigorous, timely, and impactful. Build scalable analytical frameworks in SQL and Python to monitor marketplace dynamics, user behaviour, and product performance. Develop advanced forecasting and modelling techniques to support pricing, auction velocity, and product development. Act as a strategic thought … in analytical roles, with a strong bias towards product analytics, growth, or marketplace environments. Demonstrable experience leading an analytics function or team, including hiring, mentoring, and workflow prioritisation. Expert SQL and Python skills, including production-grade pipelines, scripting, and automation. Comfortable using BI tools such as Tableau, PowerBI, Looker, or Lightdash, and running analysis in statistical packages. Familiarity with LLMs More ❯

the Software Development Life Cycle (SDLC), expertise in Scrum methodologies to foster team collaboration and delivery, and the capability to manage incidents, service requests, and change processes. Familiarity with SQL, SSIS, and experience with DevOps practices is advantageous. Key responsibilities: Workload Management and Scrum Facilitation: Collaborate with the Team Lead to prioritize, allocate, and monitor tasks across the development team … pipelines) is a significant advantage but not mandatory. Technical Expertise: Knowledge of the Software Development Life Cycle (SDLC). Experience with financial systems or integrations is advantageous. Proficiency in SQL and/or SSIS is preferred but not essential. Exposure to DevOps methodologies is highly desirable to support team processes and collaboration Proficiency with project management and visual software (e.g. More ❯

play a key role in building and optimizing our Medallion architecture (Bronze, Silver, Gold layers), working with modern tools such as Databricks , dbt , Azure Data Factory , and Python/SQL to support critical business analytics and AI/ML initiatives. Key Responsibilities ETL Development : Design and build robust and reusable ETL/ELT pipelines through the Medallion architecture in Databricks … knowledge of Azure Data Factory , including pipeline orchestration and integration with other Azure services. Experience with data integration (e.g. : APIs, JSON, XML, Web Services) essential Expertise in Python and SQL for data manipulation and pipeline development. Hands-on experience implementing and maintaining Medallion Architecture (Bronze/Silver/Gold). Familiarity with CI/CD, Git version control, and agile More ❯

keen to develop managerial skills and qualities in a Senior capacity. To be considered for this position: Demonstrable experience using a recognised vendor model. Proficiency using tool such as SQL, Python, Power BI etc is highly advantageous. Strong verbal and written communication skills. Eager to provide analytical solutions in an agile and dynamic environment. More ❯

proven Data Analysis within Financial Services Key part of the role is to drive process improvements/automation, produce meaningful business and portfolio analytics using tools such as Python, SQL, KDB, and Power BI to transform and analyze data. You'll have experience in solving problems, improving data quality, streamlining manual processes, building reports, proposing analytics, and supporting the reporting More ❯

proven Data Analysis within Financial Services Key part of the role is to drive process improvements/automation, produce meaningful business and portfolio analytics using tools such as Python, SQL, KDB, and Power BI to transform and analyze data. You'll have experience in solving problems, improving data quality, streamlining manual processes, building reports, proposing analytics, and supporting the reporting More ❯

to develop and execute a comprehensive QA strategy for applications with complex dependencies. The ideal candidate will lead efforts in automation and regression testing, focusing on applications that are SQL heavily and are supplemented by web technologies like Angular, Silverlight, and others. This role requires a strategic thinker with hands-on experience in automation testing and a deep understanding of … with applications that have significant dependencies on stored procedures and complex back-end systems. Strong experience of development and automating applications that are heavy on stored procedures on MS SQL Server. Proficiency in testing web applications, particularly those built with Angular, Silverlight, or similar technologies. Experience with CI/CD pipelines and integrating automated tests within them - Jenkins, BitBucket required. More ❯

and ensure data integrity. Present findings to stakeholders in a clear and concise manner. Requirements: Proven experience as a Data Analyst or in a similar role. Proficiency in Excel, SQL, and data visualization tools (e.g., Power BI, Tableau). Strong analytical and problem-solving skills. Excellent communication and presentation abilities. Degree in Mathematics, Statistics, Computer Science, or a related field. More ❯

and ensure data integrity. Present findings to stakeholders in a clear and concise manner. Requirements: Proven experience as a Data Analyst or in a similar role. Proficiency in Excel, SQL, and data visualization tools (e.g., Power BI, Tableau). Strong analytical and problem-solving skills. Excellent communication and presentation abilities. Degree in Mathematics, Statistics, Computer Science, or a related field. More ❯

and ensure data integrity. Present findings to stakeholders in a clear and concise manner. Requirements: Proven experience as a Data Analyst or in a similar role. Proficiency in Excel, SQL, and data visualization tools (e.g., Power BI, Tableau). Strong analytical and problem-solving skills. Excellent communication and presentation abilities. Degree in Mathematics, Statistics, Computer Science, or a related field. More ❯

portals used to resolve Seller escalations. • Troubleshoot, diagnose, reproduce (if needed), and fix operational issues in analytics pipelines. • Automate standardized processes using Python scripts. • Provide ad-hoc data using SQL for faster seller escalation case resolution or proactive insights sharing. • Apply case management tools to manage and prioritize issues based on multiple factors, including Seller impact. • Develop visual SX monitoring … field - • 5+ years of hands-on experience in technical support, data engineering, business analytics, or related field - • 5+ years of experience working with and extracting data from relational databases (SQL) - • 3+ years of experience troubleshooting and debugging technical systems - • Experience scripting in modern programming languages (Python) - • Experience in agile/scrum or a similar collaborative workflow - • Demonstrated skills and passion More ❯

of SSR, SSG, SPA, or derived architectures. Experience leading projects: technical planning, task breakdown, estimation, and delivery . Hands-on experience building RESTful or GraphQL APIs , with Node.js and SQL/NoSQL databases. Experience integrating third-party services, APIs, and analytics tools. An understanding of security best practices on the web. Strong debugging skills and a problem-solving mindset. An … Frontend: HTML, CSS JavaScript (ES2020+), TypeScript SolidJS or React Unit-testing (Vitest/Jest/similar) End-to-end testing (Cypress/Playwright/similar) Backend : RESTful APIs Node.js SQL and/or NoSQL databases Unit-testing Integration testing Infrastructure: Vercel (or similar) AWS (S3, Lambda, ECS, SQS). Recommended Astro Tailwind CSS GraphQL Figma Web accessibility JS and CSS More ❯

in creating detailed and summarised reports of operational data, including graphs and visualisations to highlight trends and outliers, etc. Advanced skills using Tableau to create/configure reports Advanced SQL/database skills in Oracle, Python and SQL Server RDMS systems Experience with AWS data tools and querying Exposure to automation tools and platforms a plus Set-up of internal More ❯

self-service with intuitive data models and BI tool integration Ensure compliance, data governance, and security best practices Essential: 3+ years’ experience in data engineering and warehousing Proficiency with SQL, Python, and AWS tools (Redshift, Glue, S3, Lambda, etc.) Strong grasp of data modeling, governance, and pipeline orchestration Excellent communication and collaboration skills in Agile teams Desirable: Experience with dbt More ❯

self-service with intuitive data models and BI tool integration Ensure compliance, data governance, and security best practices Essential: 3+ years’ experience in data engineering and warehousing Proficiency with SQL, Python, and AWS tools (Redshift, Glue, S3, Lambda, etc.) Strong grasp of data modeling, governance, and pipeline orchestration Excellent communication and collaboration skills in Agile teams Desirable: Experience with dbt More ❯

of up £38K depending on location, Home Based Working Bonus Private Healthcare Get in touch if you're looking for your next opportunity! Responsibilities: C# .Net OO Entity Framework SQL Problem Solving Good working knowledge of git (rebase, squash etc) .Net Core Nice to have: Azure Functions Docker Azure DevOps ADO.net TDD experience (NUnit, XUnit etc.) Azure Devops (including Pipelines More ❯

skills in Python or similar languages. Solid understanding of real estate data sources (e.g., Co-Star, RCA, Property Data). Familiarity with geospatial analysis software (e.g., ArcGIS Pro) and SQL databases. More ❯

especially SEND, and relevant legislation. Proven experience in performance management, data analysis, and quality assurance, including the statutory SEN2 data return. Advanced skills in tools such as Power BI, SQL, CAPITA (MRi) , and MS Office. Excellent communication and stakeholder engagement skills. A proactive, solution-focused mindset with a commitment to equity and inclusion. If you are interested in this role More ❯

especially SEND, and relevant legislation. Proven experience in performance management, data analysis, and quality assurance, including the statutory SEN2 data return. Advanced skills in tools such as Power BI, SQL, CAPITA (MRi) , and MS Office. Excellent communication and stakeholder engagement skills. A proactive, solution-focused mindset with a commitment to equity and inclusion. If you are interested in this role More ❯

and scheme analytics. Troubleshoot system issues, support releases, and drive continuous improvement. Skills: Experience in UK pensions administration, with solid understanding of manual pension benefit calculations. Proficient in Excel, SQL, Power BI, and VBA. Familiarity with the Altair (Heywood) system is highly desirable. Analytical, detail-oriented, and comfortable working independently (home-based). Strong communication and problem-solving skills. Qualifications More ❯

with data security and governance best practices Technical Requirements: 5+ years of experience in data engineering roles, with a proven ability to lead and mentor a team. Expertise in SQL, Python, and R. Strong proficiency in AWS technologies such as Redshift, S3, EC2, and Lambda. Experience with Kafka and real-time data streaming technologies. Advanced skills in building ETL pipelines More ❯

and scheme analytics. Troubleshoot system issues, support releases, and drive continuous improvement. Skills: Experience in UK pensions administration, with solid understanding of manual pension benefit calculations. Proficient in Excel, SQL, Power BI, and VBA. Familiarity with the Altair (Heywood) system is highly desirable. Analytical, detail-oriented, and comfortable working independently (home-based). Strong communication and problem-solving skills. Qualifications More ❯

opportunities for process automation, fraud prevention, and risk mitigation. The Person - Bachelor's degree in Finance, Accounting, Economics, or a related field. Advanced knowledge of data analysis tools (e.g., SQL, Python, R). Strong analytical and problem-solving skills. Proficient in financial modelling, budgeting and forecasting. Experience working with large and complex data sets. Excellent communication and interpersonal skills. Ability More ❯