701 to 725 of 7,600 SQL Jobs in the UK

e.g. Postman, RestSharp) Experience with UI/browser automation (e.g. Playwright, Selenium) Practical experience working with AI and agentic engineering processes Working knowledge of SQL and database testing Familiarity with CI/CD pipelines and tools Experience of cloud technologies such as Azure, AWS, GCP Proficient with Git and related ...

Support users in the effective use of business systems, encouraging best practice and improving data accuracy across key platforms. Query and analyse data using SQL to support operational reporting, business analysis and decision-making. Use advanced Excel, including VBA/VB automation where appropriate, to manipulate, cleanse, reconcile and structure … Strong business process mapping and documentation skills, including L1-L3 process modelling. Excellent Power BI skills, including dashboard design, data visualisation and reporting. Good SQL knowledge with experience writing queries to extract, analyse and validate data. Advanced Microsoft Excel skills, including complex formulas, data manipulation, reconciliation and VBA/ ...

analytics and data engineering projects, including: Configuring and implementing cloud and database infrastructure using tools such as Google Cloud, Google BigQuery and Google Cloud SQL Transforming and modelling data using tools such as dbt, Dataform and Cube Developing dashboards, explorations and data visualisations using tools such as Looker, Preset, Power … manage multiple concurrent engagements Outstanding analytical, problem-solving and technical skills, a head for numbers and an attention to detail An excellent grasp of SQL, data modelling, cloud data warehousing and database design Experience using software development methods (git, CI/CD, code reuse etc) in an analytics context Confidence ...

both technical and non technical audiences. Desirable experience: Insurance experience (London Market desirable but not essential; wider insurance backgrounds welcomed). Exposure to SQL, Power BI, SSRS, or similar data and BI technologies. Experience partnering closely with Data Architecture teams. Familiarity with tools such as Visio, Azure DevOps, JIRA, Confluence ...

auditable. Support internal and external audit requests with well-documented, reproducible analysis. Modern Analytics & Automation Build and maintain data transformations and models using SQL and dbt, following version-controlled, tested and documented practices. Automate recurring reports, reconciliations and alerts to reduce manual effort and strengthen controls. Use AI-enabled tools … translating complex analysis and regulatory detail into clear narratives. Requirements & Skills Experience in a Data Analyst, Business Analyst, Compliance Analyst or similar role. Strong SQL skills; hands-on experience with dbt, or a strong aptitude and willingness to learn modern transformation tooling quickly. Familiarity with data governance ...

leading and developing high-performing analytical teams. Deep hands‐on experience in database building, schema design, database maintenance, data warehousing, ETL processes, and advanced SQL querying across very large and complex data environments. Proven ability to identify, evaluate, and implement tools and technologies that consolidate disparate data sources into … truth for commissions, sales performance analytics, and reporting. Practical experience with script‐based reconciliation or automation tools such as VBA, Python/Pandas, SQL, Alteryx, or equivalent methods to rapidly reconcile large dataset pipelines and identify calculation or data integrity issues. Proven track record establishing and enforcing data governance policies ...

high-impact opportunities to apply AI and emerging technology and driving adoption across regional teams* Apply AI tooling - generative AI, prompt engineering, agent workflows, SQL, and BI - to analyze data, accelerate work, and design more efficient regional workflows* Account for EMEA-specific regulatory, operational and reporting requirements - when scoping … Power Platform, and comparable platforms such as Appian, to solve regional process problems directly* Apply hands-on scripting and coding such as Python, SQL, and VBA where appropriate to build integrations, automations, or data transformations beyond what low-code tools allow* Create and maintain reusable components - prompt libraries, automation templates ...

SVaR calculations. Infrastructure Development Build and enhance Snowflake-based time series infrastructure for scalability and performance. Develop Python ETL/ELT pipelines and optimized SQL models for historical time series storage and retrieval. Collaboration & Governance Work closely with Market Data and Risk teams to define canonical market observables and maintain … hands-on experience in developing applications using Relational Databases and Big-data platforms. Technical Strong Python (pandas, numpy, data engineering best practices).Advanced SQL and Snowflake (warehouse management, streams/tasks, query optimization).Domain Knowledge Market risk concepts: VaR, SVaR, sensitivities, stress testing. Handling end-of-day market data ...

preferred) Strong analytical and problem-solving skills Advanced Excel skills and experience with Power BI/Power Query Solid understanding of relational databases (MS SQL) What success looks like in this role Clear, well-prioritised requirements gathered across the finance function Measurable efficiency improvements through automation, system optimisation, or better ...

Degree in Computer Science or Software Design (preferred) 5+ years of experience in custom solution software development Proficiency in database interactions and management via SQL, and MS SQL database structures and architecture Experience writing application code in .NET C++/C#, JavaScript, Java, HTML, SOAP, WSDL, RESTful API/ ...

providers, as well as internal working partnersTechnical skills preferred in any or all of the following: Microsoft Excel, Google Suite, Atlassian Jira/Confluence, SQL, Python (Jupyter Notebook, Pandas, PySpark, etc.), Databricks, Bloomberg, Pitchbook, or other common financial services systems and applicationsHands-on SQL & Data Warehouse Experience: Strong proficiency using … SQL and Databricks (PySpark) to navigate complex data architectures, extract custom audits, and validate high-volume datasets. Familiarity with Modern AI Developer Tools: Exposure to or a strong interest in using AI tools (e.g., Claude Code, GitHub Copilot, or automated API integrations) to optimize code and speed up daily data ...

reviews focused on key business questions and areas of opportunity, providing rigorous and timely analysis to help drive progress. Deliver hands‐on analysis using SQL, Power BI, and Python/R, ensuring outputs are robust, scalable, and actionable. Translate complex data into clear, compelling narratives tailored to different audiences, including … Proven experience in stakeholder‐facing analytics roles, with a track record of influencing decisions through data. Strong hands‐on skills in Python or R, SQL, Power BI (including DAX and Power Query). Proven experience in using a variety of analytical techniques, matching the appropriate technique to the business problem. ...

Audit. Develop maintainable Python solutions using Pandas, Polars and PySpark, selecting fit-for-purpose approaches based on scale, performance and operational needs. Write advanced SQL for data transformation, reconciliation, profiling and analysis across OLTP and analytical data platforms. Design data models for operational and analytical use cases, including dimensional modelling … master’s degree is welcome. Hands-on proficiency in Python, including Pandas, Polars and PySpark, with experience writing testable and maintainable code. Strong SQL proficiency and practical understanding of OLTP databases, relational design and query performance. Strong understanding of data modelling, data warehousing, dimensional modelling and slowly changing dimensions. Experience ...

Knowledge of tools such as SAP & JIRA. Familiarity with Agile and/or Waterfall methodologies. Exposure to automation tools (Power Automate, Python, SQL). Thank you in advance for your attention and continued support. #J-18808-Ljbffr ...

through the equivalent experience. Proven expertise in applying advanced analytical techniques to real-world problems, including applying novel solutions to complex problems. Python, SQL, Power BI, Microsoft Excel. An inquisitive mind and an ability to quickly understand complex information and apply analytical thinking and problem-solving skills. Experience applying statistical ...

Clear SFTR Reporting for LME Clear MiFID Reporting for LME Submitting other regulation reports for LME and LME Clear Develop and maintain SQL queries to support reconciliations, investigations and reporting validation activities Analyse large regulatory reporting datasets to identify reporting exceptions, data quality issues and control weaknesses Utilise Python … MiFID, EMIR and SFTR would be a strong advantage Strong analytical and problem-solving skills with a data-driven approach Working knowledge of SQL, including the ability to query, analyse and validate data from multiple sources Strong attention to detail and ability to identify data anomalies Advanced Excel skills including ...

data and analysis across the team. SKILLS & EXPERIENCE REQUIRED: Strong experience working with different types of data, both structured and unstructured. Proficiency in SQL and Power BI (or similar data visualisation/BI tools e.g. Tableau, Qlikview etc.). Ability to interpret complex datasets, identify trends, and deliver actionable insights. ...

facility sizing and pricing decisions Develop and maintain cashflow and waterfall models supporting portfolio decision-making, new facility structuring and refinancing Write production-quality SQL and Python and build database tables and dbt models alongside our data engineering teams, so that monitoring is self-serve rather than a recurring manual … FinTech Strong academic background including at least a Bachelor’s degree (Mathematics, Engineering, Statistics, Computer Science, Computational Finance, Economics) or equivalent Advanced, hands‐on SQL and Python — you build and maintain analytical code and automation yourself rather than specifying it for someone else The analytical judgement to go with ...

stakeholder skills Relevant degree, actuarial study or equivalent analytical experience General Insurance experience would be advantageous but isn't essential. Exposure to Power BI, SQL, Power Query, DAX, Python, R or Alteryx would also be beneficial. You don't need to be a qualified or studying actuary – we're equally ...

within a fast paced enterprise scale environment Bachelors or Masters degree in Computer Science Data Engineering or a related technical field Strong Proficiency in SQL and Data Integration Platforms such as IBM Streamsets or Informatica with thorough understanding of data transformation and orchestration processes Extensive Experience with AWS services including ...

successful Product Data Analyst will have the following skills and experience: Strong commercial experience in Data Science, Product Analytics, or Advanced Analytics environments. Advanced SQL skills with experience querying complex cloud-based data warehouses, ideally including Snowflake. Expertise in Python or R for statistical analysis, machine learning, and predictive modelling. ...

operates end-to-end ETL/ELT pipelines, including incremental processing, idempotent patterns, and schema evolution, with a focus on scalability and reliability. Development (SQL/Python): Writes clean, optimised SQL and scalable Python code, applying modular design, logging, testing, and code review practices, while considering performance and scalability trade ...

Technical Environment Snowflake dbt Airflow AWS Semantic Layers/Metrics Frameworks Tableau/Power BI AI & LLM-enabled analytics solutions Essential Skills & Experience Advanced SQL skills with strong expertise in dimensional/Kimball modelling techniques. Hands-on experience building and maintaining dbt models within Snowflake environments. Experience orchestrating data pipelines ...

Skills Advanced Expertise in BI tools (e.g., Domo, Sigma, Looker). Cloud Expertise: Strong proficiency in cloud data platforms (Snowflake). Expertise in SQL, ETL/ELT pipelines, data warehousing. Architectural Knowledge: Proficiency in designing for performance, scalability, and security. Software Development Knowledge: Understanding of SDLC, Agile methodologies, and DevOps ...

similar AML/KYC management software (minimum of 3 years). Experience in system configuration, customization, and integration of financial applications. Proficiency in SQL and data query languages to extract and manipulate data. Familiarity with reporting and analytics tools used in conjunction with Fenergo (e.g., Microsoft Excel, Power ...