501 to 525 of 1,590 SQL Jobs in London

Claude, Gemini, Mistral, LLaMA, Cohere Frameworks: LangChain, LlamaIndex, Haystack Tools: GitHub Copilot, Cursor, PromptLayer, Weights & Biases Cloud: Azure ML, AWS SageMaker, Google Vertex AI, Databricks Infra: Python, Docker, Kubernetes, SQL, PyTorch More ❯

and non-technical stakeholders, influencing strategy and operational improvements. What You'll Bring: Experience in Data Analytics or Data Science, ideally in Customer Success, Operations or Digital Team. Strong SQL skills and experience with dashboarding tools such as Tableau. Familiarity with Snowflake, Databricks, Spark, and ETL processes. Python or automation is a plus. Knowledge of A/B testing and More ❯

deliver targeted campaigns and recommendations. Present insight to senior stakeholders to influence strategic decision-making. YOUR SKILLS AND EXPERIENCE: Strong background in customer insight, retention or loyalty analytics. Advanced SQL skills, plus experience with Looker, Power BI or Tableau. Excellent communication and stakeholder management ability. A data-driven mindset with a passion for improving the customer experience. Desirable: Experience working More ❯

a hands-on role offering real ownership and the chance to see your analysis directly impact growth and performance. YOUR SKILLS AND EXPERIENCE The ideal candidate will have: Strong SQL and Python skills Experience in forecasting, regression, or time series modelling Experience working across multiple stakeholder groups, such as operations, marketing, finance, energy Strong communication skills with the ability to More ❯

cross-functional teams to enable smarter use of data across digital and physical channels. Lead, mentor, and grow a high-performing data team. Tech Stack GCP | Power BI | Omni | SQL | Python | DBT | Docker Your Background Proven experience leading data teams across engineering, analytics, and BI. Strong technical understanding of modern data platforms and pipelines. Skilled in stakeholder management, governance, and More ❯

AWS, Azure), data pipelines, and AI/ML technologies. Confident communicator, able to work collaboratively and adapt in a fast-paced environment. Comfortable working with data – familiarity with Python, SQL, or data tools is a plus. Bonus: Knowledge of AI ethics, data privacy, cybersecurity, or relevant industry frameworks (e.g. ISO 27001, NIST, etc.). Location: London Should you not be More ❯

AWS, Azure), data pipelines, and AI/ML technologies. Confident communicator, able to work collaboratively and adapt in a fast-paced environment. Comfortable working with data – familiarity with Python, SQL, or data tools is a plus. Bonus: Knowledge of AI ethics, data privacy, cybersecurity, or relevant industry frameworks (e.g. ISO 27001, NIST, etc.). Location: London Should you not be More ❯

teams, and stakeholder management. You will need a solid understanding of data structures within a variety of database platforms - they integrate between systems with data held in flat files, SQL, MySQL, MARIA, ORACLE and others. You will have a strong working knowledge of developing & maintaining integrations using web services and APIs, including REST and SOAP. You will be able to More ❯

and driving better decisions. What We’re Looking For 8+ years of experience in Data Analytics or Data Science , ideally within Customer Success, Operations, or Digital Experience domains. Strong SQL skills for data extraction, transformation, and pipeline development. Proficiency with data visualization tools (Tableau, Qlik, or similar). Experience with big data platforms (Snowflake, Databricks, Spark) and ETL processes . More ❯

and driving better decisions. What We’re Looking For 8+ years of experience in Data Analytics or Data Science , ideally within Customer Success, Operations, or Digital Experience domains. Strong SQL skills for data extraction, transformation, and pipeline development. Proficiency with data visualization tools (Tableau, Qlik, or similar). Experience with big data platforms (Snowflake, Databricks, Spark) and ETL processes . More ❯

operations team, development team and testing team making sure the client expectations are met. Working as part of a team to implement system configurations, using technical skills such as SQL and tools to configure the IT systems. You will be trained in supporting existing customers, configuring IT systems to their specification and providing consultancy/analysis services. - First hand training More ❯

and driving better decisions. What We’re Looking For 8+ years of experience in Data Analytics or Data Science , ideally within Customer Success, Operations, or Digital Experience domains. Strong SQL skills for data extraction, transformation, and pipeline development. Proficiency with data visualization tools (Tableau, Qlik, or similar). Experience with big data platforms (Snowflake, Databricks, Spark) and ETL processes . More ❯

and driving better decisions. What We’re Looking For 8+ years of experience in Data Analytics or Data Science , ideally within Customer Success, Operations, or Digital Experience domains. Strong SQL skills for data extraction, transformation, and pipeline development. Proficiency with data visualization tools (Tableau, Qlik, or similar). Experience with big data platforms (Snowflake, Databricks, Spark) and ETL processes . More ❯

hands-on data engineer Worked you way into a lead data role and then into a management (mentoring, coaching, team development etc) Very strong technical skills that will include - SQL, SSIS, SSRS, SAS, Power BI, Power Platform, Azure Data Factory, Azure Data Lake, Databricks A good understanding of dimensional modelling techniques, including Kimball's Business Development Lifecycle Ability to design More ❯

clean, re-usable code Understanding of peer-to-peer networks Nice to have High throughput, low latency systems Financial markets FIX Blockchain Spring Hibernate Complex event processing/EPL SQL 5. Company culture We provide best of breed trading venue and post-trade solutions to global financial markets and have clients across the globe and across multiple asset types. We More ❯

Extensive experience (5+ years) in analytical or data-focused roles. Strong academic background in a quantitative field such as Mathematics, Statistics, Engineering, or another STEM discipline. Advanced proficiency in SQL and Python for data extraction, analysis, and modelling. Proven experience applying forecasting and time series modelling techniques to business problems. Background in pricing or optimisation, including dynamic pricing, revenue modelling More ❯

Extensive experience (5+ years) in analytical or data-focused roles. Strong academic background in a quantitative field such as Mathematics, Statistics, Engineering, or another STEM discipline. Advanced proficiency in SQL and Python for data extraction, analysis, and modelling. Proven experience applying forecasting and time series modelling techniques to business problems. Background in pricing or optimisation, including dynamic pricing, revenue modelling More ❯

full stack development skills, with proficiency in modern Front End frameworks (eg, React, Angular, Vue.js) and Back End languages (eg, Node.js, Python, Java). Hands-on experience with databases (SQL and NoSQL), cloud platforms (Azure/AWS), containerisation (Docker), and CI/CD pipelines. Experience implementing AI in a business context-such as integrating AI APIs/services, developing AI More ❯

for transparency. Ensure compliance with data governance and contribute to continuous improvement initiatives. Your Profile: 3+ years of experience in data analysis and ETL development. Strong proficiency in Teradata SQL and Informatica PowerCenter. Experience building and validating risk models using SAS and Python. Solid understanding of statistical techniques and risk modeling frameworks. Familiarity with data governance and compliance standards. Excellent More ❯

for transparency. Ensure compliance with data governance and contribute to continuous improvement initiatives. Your Profile: 3+ years of experience in data analysis and ETL development. Strong proficiency in Teradata SQL and Informatica PowerCenter. Experience building and validating risk models using SAS and Python. Solid understanding of statistical techniques and risk modeling frameworks. Familiarity with data governance and compliance standards. Excellent More ❯

. Strong analytical and problem-solving skills with an ability to manage complex data and system dependencies. Experience writing technical and functional documentation and conducting stakeholder workshops. Familiarity with SQL/data querying to support analysis and validation. Excellent communication and stakeholder management skills across business and IT teams. Desirable: Experience with core banking or client management platforms (e.g., Avaloq More ❯

trade data processing and integration issues Collaborate with QA, support, and business stakeholders Requirements 5+ years of professional Java experience Strong CS fundamentals and problem-solving ability Proficient with SQL and generic scripting Proficient with Linux server environments Background in CI/CD, infrastructure automation, and monitoring Experience working with large, interconnected systems and debugging across components Proven ability to More ❯

trade data processing and integration issues Collaborate with QA, support, and business stakeholders Requirements 5+ years of professional Java experience Strong CS fundamentals and problem-solving ability Proficient with SQL and generic scripting Proficient with Linux server environments Background in CI/CD, infrastructure automation, and monitoring Experience working with large, interconnected systems and debugging across components Proven ability to More ❯

for transparency. Ensure compliance with data governance and contribute to continuous improvement initiatives. Your Profile: 3+ years of experience in data analysis and ETL development. Strong proficiency in Teradata SQL and Informatica PowerCenter. Experience building and validating risk models using SAS and Python. Solid understanding of statistical techniques and risk modeling frameworks. Familiarity with data governance and compliance standards. Excellent More ❯

full stack development skills, with proficiency in modern front-end frameworks (e.g., React, Angular, Vue.js) and back-end languages (e.g., Node.js, Python, Java). Hands-on experience with databases (SQL and NoSQL), cloud platforms (Azure/AWS), containerisation (Docker), and CI/CD pipelines. Experience implementing AI in a business context—such as integrating AI APIs/services, developing AI More ❯