1 to 25 of 4,190 SQL Jobs in London

organisational levels. Experience working within highly regulated or governance-heavy environments, ideally including government or regulated sectors. Technical Skills Data & Analytics Advanced SQL and Python skills. Strong analytical and problem-solving capability. Data modelling expertise, including dimensional modelling and enterprise data concepts. Experience delivering business intelligence, dashboarding, and reporting solutions. ...

data solutions Deep understanding of data warehouse design principles and methodologies Advanced knowledge of optimisation techniques for large‐scale data processing Strong proficiency in SQL and Python for handling complex data problems Hands‐on experience with Apache Spark (PySpark or Spark SQL) Experience with the Azure data stack Knowledge ...

Senior Data Analyst with SQL Server SSIS and Network Engineering Summary of skills required: Power Automate Power BI Python Powershell SQL Server SSIS SSRS Essentially the Client is looking to recruit a candidate that can assist in IT Network Engineering and Data Engineering projects. Role Description The Senior Data Analyst … with SQL Server SSIS and Network Engineering will work in a full-time, hybrid capacity based in London, with some flexibility to work from home. Day-to-day responsibilities include designing and maintaining data workflows using SQL Server and SSIS, developing data models, and performing advanced data analysis to support ...

pipelines, and products that enable reporting, analytics, digital transformation, and data-driven decision-making. Working with technologies such as Microsoft Fabric, Azure Data Services, SQL, and Power BI, you will ensure data is managed effectively throughout its lifecycle, and contribute to effective Information Management across all teams and business functions. … Strong experience designing and maintaining ETL/ELT pipelines, data integration processes, and structured data platforms. Experience working with Microsoft Fabric, Azure Data Services, SQL, Power BI, or equivalent modern data platforms. Strong understanding of data modelling, database design, metadata management, and data architecture principles. Experience implementing data quality, governance ...

pipelines, and products that enable reporting, analytics, digital transformation, and data-driven decision-making. Working with technologies such as Microsoft Fabric, Azure Data Services, SQL, and Power BI, you will ensure data is managed effectively throughout its lifecycle, and contribute to effective Information Management across all teams and business functions. … enterprise environments.Strong experience designing and maintaining ETL/ELT pipelines, data integration processes, and structured data platforms.Experience working with Microsoft Fabric, Azure Data Services, SQL, Power BI, or equivalent modern data platforms.Strong understanding of data modelling, database design, metadata management, and data architecture principles.Experience implementing data quality, governance, and assurance ...

translate business problems into data, analytical and technical tasks, with support from senior colleagues. Design, build and maintain data pipelines, models and products using SQL, Python and modern data engineering tools. Work with data warehouses, lakehouse platforms and event‐driven patterns, including building semantic models for analytics and visualisation. Contribute … over. What We’re Looking For Core Data & Technical Skills Experience translating business questions into data or analytical requirements, with guidance where needed. Strong SQL and Python skills for data modelling, transformation, automation and analysis. Experience working with data models in data warehouses, lakehouse environments or analytics tools such ...

business users to the executive level. Conduct comprehensive data analysis to support business decisions, enhance data quality, and resolve operational issues using SQL, Python, and ETL tools. Present and communicate clear and timely findings to business and technical stakeholders. Provide strategic insights and recommendations to influence business decisions. … with strategic impact. Familiarity with agile methodology and experience in agile ceremonies. Experience in leading and mentoring teams in agile environments. Demonstrated experience writing SQL and python scripts for analysis of data warehouses in any of the following database platforms: Databricks Delta Lake, Snowflake, Oracle, Microsoft SQL Server. Demonstrated experience ...

Serve as a key liaison across Investments, Enterprise Data & Integrations, peer data owners and delivery teams. Conduct comprehensive data analysis, profiling and reconciliation using SQL, Python and ETL or data-quality tools to support decisions, enhance data quality and resolve operational issues. Act as a subject matter expert for fixed … risk, performance and operations. Proven track record leading analysis on large-scale data transformation, platform migration or investment data change initiatives. Demonstrated experience writing SQL and Python scripts for analysis, validation, reconciliation and automation. Experience with data warehouses or cloud platforms such as Snowflake, Databricks, Microsoft SQL Server. Proven ability ...

roadmap: track delivery of quick-wins, report progress on mid-term initiatives, and flag risks or dependencies TECHNICAL SKILLS & EXPERTISE Strong data engineering skills: SQL (advanced), Python or PowerShell for data extraction, transformation, and automation; experience with ETL/ELT pipelines Dashboard development: Power BI (preferred), Tableau, Grafana, or equivalent ...

clear Dev/Test/Prod separation, deployment pipelines, dataset certification/endorsement, refresh monitoring and access management. Coach analysts and BI developers on SQL, DAX, data modelling, visual design and engineering hygiene; take part in code/report reviews and knowledge‐sharing sessions. Work closely with Data Engineering … Knowledge and Experience Essential Well developed and demonstrable experience in a data analytics or BI role, preferably in an insurance or finance environment. Advanced SQL, including query optimisation and working with the Azure data stack (Data Factory, Synapse/Fabric, SQL‐based semantic layers). Advanced Power BI: data modelling ...

Design and build data models, schemas to support business requirements Develop and maintain data ingestion and processing systems using various tools andtechnologies, such as SQL, NoSQL, ETL, Luigi, Airflow, Argo, etc. Implement data storage solutions using different types of databases, such asrelational, non-relational, or cloud-based. Working collaboratively with … data engineering teams and independently. Line/Team management experience, leadership experience Experience of working with cloud infrastructure (Azure or AWS, GCP is beneficial) SQL and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL) You have framework experience within either Flask, Tornado or Django, Docker Experience working with ...

value individuals who can learn quickly and apply the right approach to solve business challenges. Experience in the following areas is highly desired: SQL and Python or R Building and maintaining data pipelines and analytical workflows Visually creative, with a good understanding of UX aesthetics gained from working with Power … specific sectors is preferred Experience of working with visualisation tools including Power BI, Tableau, Tibco Spotfire, RShiny, plotly-dash, D3.js, or QlikSense Experience in SQL (any variant), MS Excel and VBA Experience in applying various analytical techniques (e.g. naïve bayes, decision trees, random forest, xgboost and k-means), to calculate ...

reporting into this role. Design and develop homogenous data repositories to deliver data led decision making. Ingest data from various sources, including on premise SQL databases, REST API’s, Apache Kafka streams, etc. Define and apply cleansing rules to the data to ensure meets quality expectations. Define and model data … structuring code, testing, IOC, etc. Strong repositories, CI/CD skills. Strong knowledge of Kimball data modelling, such as star schema, snowflake, etc. Strong SQL skills. Strong data analysis skills. Excellent written and verbal communication skills A demonstrable track record of getting stuff done whilst managing competing pressures and deadlines ...

SkillsWe value individuals who can learn quickly and apply the right approach to solve business challenges. Experience in the following areas is highly desired: SQL and Python or RBuilding and maintaining data pipelines and analytical workflowsVisually creative, with a good understanding of UX aesthetics gained from working with Power … more specific sectors is preferredExperience of working with visualisation tools including Power BI, Tableau, Tibco Spotfire, RShiny, plotly-dash, D3.js, or QlikSenseExperience in SQL (any variant), MS Excel and VBAExperience in applying various analytical techniques (e.g. na ve bayes, decision trees, random forest, xgboost and k-means), to calculate problems ...

Streaming, and Lakehouse architectureStrong hands-on experience with Snowflake, including data modelling, performance optimisation, Snowpark, data sharing, and governance capabilitiesExpertise in Apache Spark, Python, SQL, and modern ELT/ETL frameworksProven ability to rapidly evaluate, prototype, and compare emerging technologies and architectural patternsExperience designing large-scale analytical platforms supporting high ...

etc., for ADF, Databricks and ML model deployments. Develop automation scripts in Python, PowerShell, or Bash to reduce manual intervention and improve service reliability. SQL and Data Warehouse Operations Write, optimize, and troubleshoot SQL queries for data validation, root cause analysis, and report troubleshooting. Support and maintain data warehouse environments … such as Azure Synapse Analytics, SQL Server/Azure SQL DB, Snowflake or BigQuery. Monitor ETL performance and investigate slow-running queries and data load failures. Issue Investigation & RCA Investigate job failures and performance issues across data pipelines, ML endpoints, and dashboards. Perform root cause analysis and provide short‐term ...

projectsDesign and build data models, schemas to support business requirementsDevelop and maintain data ingestion and processing systems using various tools and technologies, such as SQL, NoSQL, ETL, Luigi, Airflow, Argo, etc. Implement data storage solutions using different types of databases, such as relational, non-relational, or cloud-based. Working collaboratively … data engineering teams and independently. Line/Team management experience, leadership experienceExperience of working with cloud infrastructure (Azure or AWS, GCP is beneficial)SQL and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL)You have framework experience within either Flask, Tornado or Django, DockerExperience working with ETL pipelines ...

environments. Proven experience building, publishing, and supporting dashboards and reports using Power BI Strong experience and programming skills in languages such as Python and SQL and the ability to write complex SQL queries. Project experience using one or more of the following technologies: Tableau, Power BI, Cloud, Azure ...

database solutions and the scope to imprint your own thinking on how they’re built. You will be working with our enterprise‐level SQL Server core data platform, with the opportunity to expand your horizons by contributing to work across our full stack — C#, Python, Node, React, R, and Machine … Learning and by getting involved as we begin to bring modern data fabrics such as Snowflake and Databricks alongside our SQL Server core. What we are looking for Someone who has grown from strong, hands‐on SQL development into thinking architecturally about data, schema design, data modelling, and the trade ...

deliver effective solutions. Ensure data quality, accuracy and consistency through validation and monitoring processes. Design and maintain data models within Databricks and Azure SQL environments. Transform and prepare data for reporting, analytics and business intelligence. Support Power BI reporting and dashboard solutions alongside the BI team. Manage and optimise Azure … innovation, knowledge sharing and best practice within the Data & Business Intelligence team. Requirements Experience building and managing data pipelines and ETL processes. Strong SQL skills and experience with data modelling. Experience integrating data from multiple structured and unstructured sources. Strong understanding of cloud-based data architecture. Excellent analytical, problem-solving ...

successful in this role, you will have: At least 5 years' experience in a Data Engineering or similar data-focused role. Strong SQL skills, including T-SQL and exposure to relational database technologies. Proven ETL experience, with SSIS being essential. Experience with scripting languages such as Python or PowerShell. Strong ...

succeedTo be successful in this role, you will have: At least 5 years' experience in a Data Engineering or similar data-focused role. Strong SQL skills, including T-SQL and exposure to relational database technologies. Proven ETL experience, with SSIS being essential. Experience with scripting languages such as Python ...

hear from you if you have: 4+ years’ experience across data and analytics, including data engineering, data science, and data visualisation: Proficiency in Python, SQL, and R for data manipulation and querying Familiarity with relational databases such as SQL Server, Oracle Understanding of various data formats, including CSV, JSON ...

data engineering, analytics engineering or data platform roles , typically gained over 5+ years, with experience operating at a senior or leadership level. Advanced SQL and Python skills and experience using them to build reliable, production‐ready data solutions. Strong experience with cloud data warehouses , ideally BigQuery, and a good working ...

Leadership & Architecture (e.g., pipeline design, engineering standards, technical reviews, technical debt refactoring, mentoring)Fount Platform & Data Engineering (e.g., ETL/ELT pipelines, Python services, SQL layers, API integrations, cloud infrastructure, cost & performance optimization)Analyst Enablement & AI Integrations (e.g., NocoDB configuration, Boolean ingestion, LLM enrichment frameworks, MCP & provider-hosted integrations)What … Jira environment to assess technical feasibility, evaluate trade-offs, and translate product requirements into maintainable, scalable technical solutions.Build and maintain production-ready Python services, SQL transformation layers, star-schema data models, and API integrations across relational databases and cloud storage (Azure Data Lake).Optimise pipeline performance, system reliability, compute efficiency ...