226 to 250 of 3,931 SQL Jobs in London

range of teams. Essential Extensive hands‐on Power BI experience, including advanced DAX, Power Query (M), semantic modelling, performance optimisation and enterprise reporting. Strong SQL and SQL Server knowledge, with experience of data warehousing, dimensional modelling and data transformation. Experience designing and supporting scalable reporting solutions, including governance, testing, security ...

major or multiple client projects across our suite of MMM/Data science offerings Clean and prepare data from multiple sources using Python, R, SQL, Excel, or other tools. Conduct analyses related to consumer behaviour, market trends, and campaign performance. Build, maintain, and apply statistical and predictive models, including regression … equivalent) in Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Business Analytics, Marketing, or a related analytical field. Strong technical proficiency in Python, R, SQL, or similar analytics tools; experience with Databricks, Azure, or other cloud/data platforms is a plus. Experience or willingness to learn visualisation tools such ...

Analysis & Stakeholder Support Advanced Analytics & Data Projects Must Have Experience in Business Intelligence, Data Analytics, Analytics Engineering, or a similar data-focused role. Strong SQL skills and experience querying, joining, and validating structured datasets. Experience building dashboards and reports using BI tools such as Tableau, Looker, Power BI, Metabase ...

Support Functions onboard and review a Customer during their relationship with the Bank. Position Description Key Accountabilities Design, implement, optimise, execute , and own advanced SQL queries to extract and analyse large volumes of financial data, identifying patterns, trends and anomalies indicative of financial crime. Translate complex datasets into actionable insights … within financial crime, risk or compliance function in the financial services sector. Technical proficiency : Strong background in data analytics, data science, or quantitative analysis (SQL, Python, R, SAS, or similar). Experience with data visualisation tools (Tableau, Power BI, Qlik, etc.).Automation is highly advantageous. Financial crime Knowledge : Knowledge ...

Quality, Governance & DocumentationBusiness Analysis & Stakeholder SupportAdvanced Analytics & Data ProjectsMust HaveExperience in Business Intelligence, Data Analytics, Analytics Engineering, or a similar data-focused role. Strong SQL skills and experience querying, joining, and validating structured datasets. Experience building dashboards and reports using BI tools such as Tableau, Looker, Power BI, Metabase ...

Azure-based data platforms.* Strong understanding of warehousing, datalakes, ETL/ELT, integration, analytics and reporting patterns.* Experience with Azure Data Factory, Databricks, Azure SQL, Azure Storage and related services.* Experience with APIs and system integrations.**Grade-Based Skills*** **Articulating Ideas:** Ability to present technical and security concepts in layman ...

production-grade data pipelines using Apache Spark (PySpark preferred). Experience delivering modern data platforms using Databricks or an equivalent Spark-based platform. Strong SQL skills and experience with data modelling. Good understanding of Lakehouse architecture and Delta Lake. Experience working with AWS, Azure or GCP. Experience implementing CI/ ...

Python, (especially Pandas) skills for data analysis, motivation to write production-ready code. Basics of git, CI/CD and collaborative development environments Intermediate SQL skills Ability to analyse concentration, exposure dynamics, and performance trends across portfolios. Ability to translate business and risk requirements into analytical outputs. Strong communication skills ...

datasets and communicate insights effectively. Experience with LLMs, generative AI, and prompt engineering. Knowledge of MLOps tools and frameworks (MLflow, Kubeflow, Airflow).Familiarity with SQL, NoSQL, and distributed data technologies. Experience deploying AI models in production environments. Publications, patents, or open-source contributions in ML/AI.BenefitsWhat We Offer: Competitive ...

communicate insights effectively. Experience with LLMs, generative AI, and prompt engineering. Knowledge of MLOps tools and frameworks (MLflow, Kubeflow, Airflow). Familiarity with SQL, NoSQL, and distributed data technologies. Experience deploying AI models in production environments. Publications, patents, or open-source contributions in ML/AI. What We Offer: Competitive ...

Microsoft Fabric (preferred) or Snowflake/equivalent cloud data platforms Data integration patterns, including: APIs ETL/ELT processes Programming and data manipulation (Python, SQL) Proven ability to: Transition organizations from fragmented reporting to standardized data-driven decision making Drive business adoption of data, not just technical implementation Experience leading ...

scripting), JavaScript, C#, JSON, Power Query (DAX), and experience with REST APIs and GraphQL for integrating AI services. Databases; Microsoft Dataverse, Microsoft SQL, MySQL, and experience with AI-driven data analytics. Strong understanding of AI governance, compliance, and responsible AI practices. Excellent communication, leadership, and client engagement skills. Preferred Skills ...

requirements, provide data insights, and address inquiries. Communicate findings, recommendations, and progress clearly and concisely. Technical Contributions: Write complex and high performing Python/SQL queries, perform robust data manipulations, and utilize advanced statistical techniques. Develop and optimise data pipelines using PySpark and other Big Data tools. Create and optimise ...

standard tools (Databricks, Snowflake) The fundamentals of data modelling — how raw data gets structured so it's trustworthy and easy to report on Practical SQL and Python skills, applied to real projects rather than exercises How financial services companies manage data safely and meet regulatory requirements How to turn ...

scripting), JavaScript, C#, JSON, Power Query (DAX), and experience with REST APIs and GraphQL for integrating AI services. Databases; Microsoft Dataverse, Microsoft SQL, MySQL, and experience with AI‐driven data analytics. Experience designing cross‐tenant migration, automation, and multi‐tenant environments. Strong understanding of AI governance, compliance, and responsible ...

working with operational, performance or quality data is essential, together with strong Excel capability and experience validating datasets or calculations. Experience with Power BI, SQL, Microsoft Fabric, Power Query, DAX, data modelling or data-quality frameworks would be advantageous. Aviation, transport or another regulated operational environment would also be beneficial ...

sources and turning it into useful, decision-ready insight. You can combine analytical rigour with commercial judgement. You are comfortable using tools such as SQL, Excel, Power BI, Tableau, Looker, analytics platforms or similar. You can explain complex findings clearly to different audiences, including senior stakeholders. You enjoy working across ...

Contribute to and maintain runbooks, on-call documentation, and operational playbooks to reduce time-to-resolution for future incidents. What you bring: Expert-level SQL for building performant, scalable queries and transformations on massive datasets. Strong Python programming skills with a focus on distributed computing, data manipulation, and building robust ...

equity & fixed income) and indexing concepts. Strong analytical and quantitative skills with the ability to work with large data sets. Proficiency in Python and SQL for data analysis, manipulation, and visualization with a willingness to further develop these skills in a financial data environment. Good written and verbal communication skills ...

growing Data Engineering function, working on critical data infrastructure across the business. Youll build and enhance modern data solutions using Snowflake, AWS, Python and SQL , working with large-scale financial and historical data. The role sits closely with Market Data, Quant and Risk teams, with your work supporting areas including … risk analytics, VaR and stress testing. Key Responsibilities Build and enhance scalable data pipelines and infrastructure Develop Python ETL/ELT pipelines and complex SQL models Design and optimise Snowflake data solutions Integrate and manage large-scale financial and historical data Identify and resolve data quality and data integrity issues ...

Data Engineering function, working on critical data infrastructure across the business. You'll build and enhance modern data solutions using Snowflake, AWS, Python and SQL, working with large-scale financial and historical data. The role sits closely with Market Data, Quant and Risk teams, with your work supporting areas including … market risk analytics, VaR and stress testing. Key ResponsibilitiesBuild and enhance scalable data pipelines and infrastructureDevelop Python ETL/ELT pipelines and complex SQL modelsDesign and optimise Snowflake data solutionsIntegrate and manage large-scale financial and historical dataIdentify and resolve data quality and data integrity issuesWork closely with Data, Quant ...

major data transformation, moving to Microsoft Fabric. For an ambitious analyst, this offers the chance to build sought-after experience across Power BI, SQL, Python, data engineering and data governance, while helping shape how a large, complex organisation uses data. You will not be limited to producing reports. This role … that stakeholders can act on. Why this role? Build practical experience in Microsoft Fabric at an early-adopter organisation Develop exposure to Power BI, SQL, Python, data engineering and governance Work on high-profile analysis that informs senior decision-making Gain broad stakeholder exposure across university planning, finance, recruitment ...

DescriptionRole –Senior Databricks ArchitectTechnology – Databricks (Spark, PySpark/SQL) and data lake architecturesLocation – London, UKCompensation – Competitive (including bonus)Job DescriptionWe are looking for a Data Architect to design, build, and operate scalable data pipelines and data products, enabling a modern data mesh architecture. The role focuses on integrating legacy systems … with cloud-native platforms to support analytics, reporting, and domain-owned data products. Primary Skills Strong experience with Databricks (Spark, PySpark/SQL) and data lake architectures. Hands-on experience with streaming technologies, especially Kafka/Confluent Kafka. Experience integrating legacy data sources such as DB2 (mainframe) and SQL Server. ...

Data Engineer - Databricks, Python, SQL & Oracle 6-month contract | £400-£450 per day | Hybrid - London, 3 days per week About the role We are looking for an experienced, hands-on Data Engineer to join a major data transformation and cloud modernisation programme within a highly regulated banking environment. You will … should be comfortable working independently, partnering with business and technology stakeholders, and delivering high-quality solutions with minimal supervision. Data Engineer - Databricks, Python, SQL & Oracle 6-month contract | £400-£450 per day | Hybrid - London, 3 days per week Contract details Day rate: £400-£450 per day Duration: 6 months Start ...

ensure data platforms evolve in line with the organisation’s expanding requirements. You will be working primarily within the Microsoft Azure ecosystem, including Azure SQL Server, Azure Data Factory, and Azure DevOps. Required Skills Strong Python experience for data engineering Strong experience working with SQL Server Strong experience working with … Analysts within the business You will be responsible for the design, build, and maintenance of Python-based ETL pipelines Accounting and leading the SQL development Data lake development within Azure Synapse, working to the organisation’s architecture standards Meeting with business stakeholders to define requirements and translate them into solution ...