376 to 400 of 452 SQL Jobs in the City of London

to grow (US, India & UK) • Structured onboarding and support, not a “sink-or-swim” mentality 🧩 What You’ll Be Doing • Design and own robust, high-performance ETL pipelines using SQL, Python, Databricks, and DBT • Ingest complex data sets from Europe’s specialty and warranty businesses • Integrate Snowflake warehouse and automate financial/operational reports • Support data product strategies and improve … Location & Flexibility • 4 days in the London office, 1 day remote (hybrid structure) ✅ What You Bring Must-Haves: • 6+ years in data engineering • Strong skills in Python, Databricks, and SQL • Solid understanding of data transformation best practices (ETL/ELT) Nice-to-Haves: • Experience with DBT • Background in insurance, financial services, or reporting-heavy environments Location: Central London- Full time More ❯

client going through an exciting transformation to unify its brands and streamline its technology stack. This is a fantastic chance to showcase your expertise in GA4, BI reporting, and SQL, while helping teams across the business make smarter use of data. Key Responsibilities Analytics & Reporting Build, manage, and enhance dashboards in BI tools. Confident in GA4, both in-platform and … when integrating with BI solutions (e.g., Power BI, Looker, Tableau, Datorama). Develop and maintain stakeholder dashboards that provide actionable insights. Write SQL queries to access and prepare data in BQ/Snowflake (with focus on GA4 data). (Nice to have) Experience with ContentSquare. Quality Assurance & Testing Carry out thorough end-to-end testing of dashboards to guarantee accuracy. More ❯

client going through an exciting transformation to unify its brands and streamline its technology stack. This is a fantastic chance to showcase your expertise in GA4, BI reporting, and SQL, while helping teams across the business make smarter use of data. Key Responsibilities Analytics & Reporting Build, manage, and enhance dashboards in BI tools. Confident in GA4, both in-platform and … when integrating with BI solutions (e.g., Power BI, Looker, Tableau, Datorama). Develop and maintain stakeholder dashboards that provide actionable insights. Write SQL queries to access and prepare data in BQ/Snowflake (with focus on GA4 data). (Nice to have) Experience with ContentSquare. Quality Assurance & Testing Carry out thorough end-to-end testing of dashboards to guarantee accuracy. More ❯

and warehouse operations to drive efficiency Run A/B testing to optimise fulfilment methods and supply processes Evaluate supplier behaviours and commercial impact Build reporting and models in SQL, Python, and Tableau (or similar BI tools) Mentor one direct report, guiding them on analytics and experimentation best practice Contribute to transformation and growth projects, with scope to expand into … demand analytics if desired What They’re Looking For Strong supply chain, operations, or inventory analytics experience Skilled in A/B testing and experimental design Advanced SQL and Python; confident with Tableau or similar Clear communicator, able to translate insights for non-technical audiences Hands-on problem solver who’s comfortable in a fast-changing, entrepreneurial environment Customer-first More ❯

and emerging technologies on a regular basis and recommend areas for change. Develop and maintain API integrations between various systems to ensure seamless data flow and functionality. Use of SQL, JSON, OData and Rest APIs to build and maintain a data warehouse. Leverage Microsoft Power Apps to integrate with existing business systems. Propose IT solutions to company and industry challenges. … IT topics and applications; iManage, 3E, Intapp, Mimecast, Tessian, Litera suite. Proven experience in writing and managing API integrations. Strong knowledge of one or more coding languages for example SQL, JSON, OData, with experience in data warehousing. Familiarity with Microsoft Power Apps and their integration capabilities. Strong understanding of Azure's infrastructure and services. A high level of understanding and More ❯

.NET Developer, C#, WPF - Mobile Telecommunications - London (Tech stack: .NET Developer, .NET 9, C#, WPF, Azure SQL, MVVM, Prism, TDD, Agile, Programmer, Engineer, Architect, .NET Developer) Established in the early 1990s and listed on the London Stock Exchange our client is an instantly recognizable brand within the mobile telecommunications arena. They are widely recognized as innovators within the market and … and services. The ideal .NET Developer candidates will have a skill set that encompasses: .NET, C#, WPF and Azure SQL. Our client can provide training in: .NET 9, Azure SQL, MVVM, Prism, continuous integration, dependency injection, TDD and Agile (Scrum/Kanban). This is a truly exciting opportunity to work on complex enterprise level, Greenfield .NET/C# projects More ❯

AI solutions and collaborate on ML model development, training, and deployment. Design and develop scalable backend and full-stack systems with robust APIs and efficient data flows. Work with SQL & NoSQL databases (Postgres, MongoDB, Elasticsearch) and optimize data storage. Implement DevOps best practices, including CI/CD pipelines and reliable infrastructure. Lead data engineering efforts to support analytics and product … Proficiency in Python and experience building ML-oriented solutions. Hands-on experience with DevOps, CI/CD pipelines, and version control. Familiarity with cloud platforms, preferably Azure. Comfortable with SQL and NoSQL databases. Right to work in the UK. For more information please apply today. More ❯

AI solutions and collaborate on ML model development, training, and deployment. Design and develop scalable backend and full-stack systems with robust APIs and efficient data flows. Work with SQL & NoSQL databases (Postgres, MongoDB, Elasticsearch) and optimize data storage. Implement DevOps best practices, including CI/CD pipelines and reliable infrastructure. Lead data engineering efforts to support analytics and product … Proficiency in Python and experience building ML-oriented solutions. Hands-on experience with DevOps, CI/CD pipelines, and version control. Familiarity with cloud platforms, preferably Azure. Comfortable with SQL and NoSQL databases. Right to work in the UK. For more information please apply today. More ❯

what happened” to explain “why” and recommend “what next.” Campaign Impact Assessment – Evaluate promotions and experiments to determine both immediate and long-term effects on customer spend and retention. SQL Data Extraction & Manipulation – Pull, join, and transform data from Snowflake and other sources, working with data marts and dbt models. Data Visualisation – Create clear, compelling Tableau dashboards and reports for … Support colleagues in becoming more self-sufficient in accessing and interpreting data. Skills and Experience Experience in data analytics roles, ideally in marketing, growth, or e-commerce environments. Advanced SQL skills for data extraction and manipulation. Experience with Snowflake, dbt, and Tableau (or similar visualisation tools). A strong statistical foundation and ability to apply the right analytical methods. Understanding More ❯

protect billions in revenue. Responsibilities: Fraud Investigation: Review complex fraud cases to uncover trends and provide actionable recommendations that help customers reduce risk and build trust. Data Analysis: Apply SQL and Python to analyse customer data, improve fraud detection accuracy, and minimise false positives. Deliver insights through clear reports and implement rule changes in the ThreatMetrix® engine. Consulting Approach: Understand … Sales, and Professional Services to refine and improve fraud strategies. Requirements: Experience in fraud, financial crime, security, or payments, ideally within large organisations. Excellent analytical skills with experience in SQL and Python. Ability to work with large and small datasets to identify meaningful patterns. Experience with fraud detection tools (e.g. ThreatMetrix, Featurespace, Hunter, Iovation, BioCatch, Actimize Falcon). Skilled in More ❯

protect billions in revenue. Responsibilities: Fraud Investigation: Review complex fraud cases to uncover trends and provide actionable recommendations that help customers reduce risk and build trust. Data Analysis: Apply SQL and Python to analyse customer data, improve fraud detection accuracy, and minimise false positives. Deliver insights through clear reports and implement rule changes in the ThreatMetrix® engine. Consulting Approach: Understand … Sales, and Professional Services to refine and improve fraud strategies. Requirements: Experience in fraud, financial crime, security, or payments, ideally within large organisations. Excellent analytical skills with experience in SQL and Python. Ability to work with large and small datasets to identify meaningful patterns. Experience with fraud detection tools (e.g. ThreatMetrix, Featurespace, Hunter, Iovation, BioCatch, Actimize Falcon). Skilled in More ❯

AWS Data Engineer - VP Level Location: London (Canary Wharf) Salary: £(phone number removed) - (phone number removed) A leading financial institution is seeking a Senior AWS Data Engineer to join a greenfield initiative focused on transforming market data access and utilization. More ❯

.NET Architect - Social Messaging Platform - London (Tech stack: .NET Architect, .NET 9, C#, Web API 2, Entity Framework, Microservices, Azure, Programmer, Developer, Engineer, .NET Architect)In 2012 our client that has been taking the US by storm. After an extremely More ❯

VP AWS Data Engineer - Strategic Data Leadership - London - Hybrid Are you a visionary data engineering leader ready to architect the future of market data infrastructure? A global financial institution is seeking a Vice President - AWS Data Engineering to spearhead the More ❯

according to agreed service level agreements. Comply with best practice financial controls for finance systems that reduce risk to the companys finances Development and maintenance of existing processes requiring SQL or VBA expertise. Be team representative responsible for liaising with Group Technology on technical issues (e.g. Interface/Data Lake/SQL/Server/Database issues) Continually review and … Q&A Bank Reconciliation software (desirable but not essential) Data Lakes DESIRABLE SKILLS (Not Essential): Experience of IBM Planning Analytics (TM1) Medium to Advanced VBA skills Medium to Advanced SQL skills an advantage Advanced Microsoft Office (Excel, Word, Access and PowerPoint) An aptitude for business IT and management information Financial Services or MI background desirable Experience of procurement systems More ❯

and high-performance applications tailored for the banking and financial services sector. This is a hands-on role where you will deliver cloud-native solutions using Azure Cosmos DB (SQL & Mongo APIs), implement partitioning strategies, indexing, and consistency models, and ensure real-time processing of critical financial data. Key Responsibilities Configure cloud-native applications using Azure Cosmos DB (SQL API More ❯

the UK. ROLE AND RESPONSIBILITIES Build and design robust data models, working end-to-end across modelling in DBT and ETL processes Develop and maintain scalable data pipelines using SQL and Snowflake Work closely with analysts, data scientists and product teams to ensure data is reliable and well-structured Own the design and implementation of new models, not just building … recommendations clearly across technical and non-technical stakeholders SKILLS AND EXPERIENCE Required: 3+ years in an Analytics Engineering role Solid experience with DBT or similar modern modelling tools Advanced SQL skills and hands-on Snowflake experience Strong understanding of ETL concepts and building scalable pipelines Good communication skills — able to collaborate across functions and explain technical concepts clearly Insurance or More ❯

underwriting processes to improve financial outcomes in credit risk and other critical business functions. Collaborate closely with senior leaders, leveraging data insights to shape strategic decision-making. Regularly apply SQL to formulate and enhance credit risk management approaches. Work alongside cross-functional teams to develop innovative, data-driven strategies. SKILLS AND EXPERIENCE Experience working in credit risk analytics and strategy … Experience with SQL Experience in consumer or SME lending A strong university degree in a numerate discipline SALARY AND BENEFITS £90,000 base salary Shares Discretionary Bonus Pension contribution Private Healthcare HOW TO APPLY Please register your interest by sending your CV to Shane McWilliams via the Apply link on this page. More ❯

underwriting processes to improve financial outcomes in credit risk and other critical business functions. Collaborate closely with senior leaders, leveraging data insights to shape strategic decision-making. Regularly apply SQL to formulate and enhance credit risk management approaches. Work alongside cross-functional teams to develop innovative, data-driven strategies. SKILLS AND EXPERIENCE Experience working in credit risk analytics and strategy … Experience with SQL Experience in consumer or SME lending A strong university degree in a numerate discipline SALARY AND BENEFITS £90,000 base salary Shares Discretionary Bonus Pension contribution Private Healthcare HOW TO APPLY Please register your interest by sending your CV to Shane McWilliams via the Apply link on this page. More ❯

following:P Pulling, analysing, and presenting customer data and insights Becoming the SME for CRM journeys, customer segmentation, and campaign performance Owning CRM reporting and developing dashboards Leveraging Python & SQL to automate BAU reporting and campaign processes Spotting signals, trends, and opportunities within the customer base Going beyond the numbers to tell a story with data and influence strategy Collaborating … closely with CRM and data strategy colleagues to shape customer engagement initiatives YOUR EXPERIENCE Strong SQL skills (essential) Python (highly desirable, particularly for automation) Tableau/DataIQ or similar visualisation tools Experience working with large customer databases Background in retail or consumer-facing businesses is a plus Understanding of CRM analytics fundamentals Excellent communication skills – able to translate data into More ❯

following:P Pulling, analysing, and presenting customer data and insights Becoming the SME for CRM journeys, customer segmentation, and campaign performance Owning CRM reporting and developing dashboards Leveraging Python & SQL to automate BAU reporting and campaign processes Spotting signals, trends, and opportunities within the customer base Going beyond the numbers to tell a story with data and influence strategy Collaborating … closely with CRM and data strategy colleagues to shape customer engagement initiatives YOUR EXPERIENCE Strong SQL skills (essential) Python (highly desirable, particularly for automation) Tableau/DataIQ or similar visualisation tools Experience working with large customer databases Background in retail or consumer-facing businesses is a plus Understanding of CRM analytics fundamentals Excellent communication skills – able to translate data into More ❯

marketing performance, customer acquisition, retention, and lifetime value (LTV) Evaluate promotional campaigns and experiments for short- and long-term impact Extract, join, and manipulate data from Snowflake using advanced SQL and dbt models Build clear, engaging Tableau dashboards and reports Track and optimise marketing KPIs such as CAC, retention rates, and channel ROI Spot trends, anomalies, and opportunities proactively Enable … stakeholders to self-serve data and insights effectively Requirements 5+ years’ experience in data analytics, ideally in marketing, growth, or e-commerce Advanced SQL skills for complex data extraction and manipulation Experience with Snowflake, dbt, and Tableau (or similar visualisation tools) Strong understanding of marketing metrics such as CAC, LTV, retention, and ROI Ability to work independently and deliver clear More ❯

high quality reports and dashboards, particularly for trading, marketing and customer performance. Deliver proactive analysis that are commercially relevant and decision focused. Apply analytics engineering best practises, including modular SQL development, version control and documentation. Improve data quality and consistency by helping define and standardise key business metrics and KPI's. The Person The right person has previous experience in … shaping how data is used across the business. Experience in digital marketing, customer, trading, D2C will be prioritised. Proven experience in a digital-first retail or ecommerce environment. Strong SQL and comfortable working with large datasets in a cloud data warehouse. Data visualisation and storytelling. Strong attention to detail. Familiarity with tools such as Looker Studio, dbt, Git. More ❯

high quality reports and dashboards, particularly for trading, marketing and customer performance. Deliver proactive analysis that are commercially relevant and decision focused. Apply analytics engineering best practises, including modular SQL development, version control and documentation. Improve data quality and consistency by helping define and standardise key business metrics and KPI's. The Person The right person has previous experience in … shaping how data is used across the business. Experience in digital marketing, customer, trading, D2C will be prioritised. Proven experience in a digital-first retail or ecommerce environment. Strong SQL and comfortable working with large datasets in a cloud data warehouse. Data visualisation and storytelling. Strong attention to detail. Familiarity with tools such as Looker Studio, dbt, Git. More ❯

product lifecycle, with a clear focus on retention and behavioural insights . This is more than just a reporting role, it’s an opportunity to use your skills in SQL, Python, and BI tools (e.g., Tableau/Qlik) to influence strategy, close data gaps, and directly impact customer outcomes. Key Responsibilities: Build and automate scalable reporting solutions focused on customer … meet data needs now and in the future What We're Looking For: ✅ Experience as a BI Analyst/Data Analyst , ideally with a retention or lifecycle focus ✅ Advanced SQL (comfortable with complex queries, joins, CTEs, etc.) ✅ Proficiency in Tableau , Qlik , or similar BI tools ✅ Experience building or working with data pipelines ✅ A track record of turning data into insights More ❯