1 to 25 of 6,569 SQL Jobs in the UK

engineers. Operating at true enterprise scale across multiple environments and subject area communities, you will bring deep expertise in Python and SQL data engineering, ETL, cloud data platforms and orchestration at scale. Working with TA&I sponsors and Technology product owners, you will define, design and implement the data engineering … team's deliverables.Design, develop and implement highly scalable and efficient data pipelines using advanced Python (Pandas, web scraping and machine learning libraries), SQL (including advanced optimisation techniques) and Apache Airflow.Lead the extraction, transformation and loading (ETL) of large and complex datasets, including time series data, from various sources (web APIs ...

engineers. Operating at true enterprise scale across multiple environments and subject area communities, you will bring deep expertise in Python and SQL data engineering, ETL, cloud data platforms and orchestration at scale. Working with TA&I sponsors and Technology product owners, you will define, design and implement the data engineering … team's deliverables. Design, develop and implement highly scalable and efficient data pipelines using advanced Python (Pandas, web scraping and machine learning libraries), SQL (including advanced optimisation techniques) and Apache Airflow. Lead the extraction, transformation and loading (ETL) of large and complex datasets, including time series data, from various sources ...

engineers. Operating at true enterprise scale across multiple environments and subject area communities, you will bring deep expertise in Python and SQL data engineering, ETL, cloud data platforms and orchestration at scale. Working with TA&I sponsors and Technology product owners, you will define, design and implement the data engineering … team's deliverables. Design, develop and implement highly scalable and efficient data pipelines using advanced Python (Pandas, web scraping and machine learning libraries), SQL (including advanced optimisation techniques) and Apache Airflow. Lead the extraction, transformation and loading (ETL) of large and complex datasets, including time series data, from various sources ...

practices, processes and tooling What we’re looking for At least five years’ experience in Data Engineering and Business Intelligence delivery Strong experience with SQL Server, SSIS, SSAS and SSRS Strong SQL skills, including experience with T-SQL and DAX Experience designing and developing ETL and ELT data pipelines … Experience with Power BI , including dashboards, reporting and semantic models Knowledge of Microsoft Azure technologies such as Azure Data Factory, Azure Data Lake, Azure SQL Database, Azure Synapse Analytics and Azure Functions Experience consuming APIs and working with JSON or XML Knowledge of Python, C# or PowerShell Experience with ...

cloud platforms (Azure preferred), leveraging Databricks as the core data engineering platform Build and optimize sophisticated ETL/ELT data pipelines using PySpark, SQL, and Python, orchestrating complex data workflows through Databricks Workflows, Delta Live Tables, Azure Data Factory Implement and maintain Delta Lake storage architectures and Unity Catalog governance … Unity Catalog governance Extensive experience in designing advanced data models, including medallion architectures, data lakes, and enterprise data warehouses Expert-level proficiency in SQL for complex data transformation, optimization, and analytical workload development Advanced proficiency in Python for data engineering, pipeline automation, and integration development Deep expertise in PySpark ...

cloud platforms (Azure preferred), leveraging Databricks as the core data engineering platform• Build and optimize sophisticated ETL/ELT data pipelines using PySpark, SQL, and Python, orchestrating complex data workflows through Databricks Workflows, Delta Live Tables, Azure Data Factory• Implement and maintain Delta Lake storage architectures and Unity Catalog governance … storage format, and Unity Catalog governanceExtensive experience in designing advanced data models, including medallion architectures, data lakes, and enterprise data warehousesExpert-level proficiency in SQL for complex data transformation, optimization, and analytical workload developmentAdvanced proficiency in Python for data engineering, pipeline automation, and integration developmentDeep expertise in PySpark for data ...

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 ...

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 ...

high-performance data platforms in hybrid (Azure) environments, including data lifecycle management, RDBMS, NoSQL, data warehouses, and cloud infrastructure principles. Hands-on experience with SQL/ETL tools, CI/CD, DevOps, monitoring/logging, data security/governance (e.g., Purview, Collibra), and version control (Git). Familiarity with Agile … technical audiences. Engineering experience, particularly with Site Reliability Engineering (SRE), and the ability to work under tight deadlines. Databases & Tools knowledge: Microsoft SQL Server (administration, T-SQL, DML, DDL, SSIS), Databricks, Power BI. Experience in Azure Technologies: ADLS, ADF, Azure SQL Database, Delta Lake, Azure DevOps, Logic Apps, Function Apps ...

within Databricks environments.Proven experience building, publishing, and supporting dashboards and reports using Power BIStrong 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, AWS, GCP, Snowflake ...

clear Dev/Test/Prod separation, deployment pipelines, dataset certification/endorsement, refresh monitoring and access management. Coaching analysts and BI developers on SQL, DAX, data modelling, visual design and engineering hygiene. Working closely with Data Engineering on changes to the semantic/curated layer and data marts. Delivering … providing realistic estimates. Key Requirements 5–10 years' 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 engineering skills ...

Mathematics or Computer Science). A minimum 8 years of professional experience in Data Analysis. Proficiency in at least one Programming language such as SQL, R or Python. Preferred Qualifications Additional certifications in Data Analytics, Data Science or Business Intelligence (e.g., Certified Analytics Professional, Microsoft Certified: Data Analyst Associate). … ensure data integrity. Extensive experience with Data Migration processes between systems and Data Source Identification. Proven experience in Data Consolidation, Database Management (e.g., SQL, Oracle, IBM DB2, Teradata) and Database Design. Expertise in creating Database Schema and managing Data Dictionaries. Significant experience with Machine Learning algorithms and frameworks for building ...

Tableau, ensuring outputs remain aligned to evolving business requirements and institutional priorities.Undertake quantitative analysis of institutional data and external data releases using Snowflake, SQL and related technologies, translating complex datasets into meaningful insights for decision-makers. Work with colleagues to anticipate and produce rapid response analyses when required for institutional … Query and implementing row-level security in Power BI.Experience in extracting and transforming datasets for reporting and/or analysis using tools such as SQL, R, Alteryx, Snowflake or dbt etc.Understanding of user experience in Power BI reporting.Experience of data architecture and modelling (e.g. facts and dimensions, materialised views ...

ensure user-centred, automated infrastructure is developed based on business requirements and best practices. Support and enhance data solutions built on Microsoft Fabric, SQL, Azure Data Factory, and SSIS.Monitor, troubleshoot, and proactively resolve data pipeline issues across multiple client environments.Design and implement robust CI/CD practices for data workflows … testing, and deployment.Skills and experience that you needEssential Experience Proven experience as a Data Engineer supporting production data pipelines and platforms.Strong knowledge of T-SQL and SQL Server with experience in performance tuning and query optimisation.Experience with scripting languages such as Python for automation.Hands-on experience with Microsoft Fabric ...

ensure user-centred, automated infrastructure is developed based on business requirements and best practices. Support and enhance data solutions built on Microsoft Fabric, SQL, Azure Data Factory, and SSIS.Monitor, troubleshoot, and proactively resolve data pipeline issues across multiple client environments.Design and implement robust CI/CD practices for data workflows … testing, and deployment.Skills and experience that you needEssential Experience Proven experience as a Data Engineer supporting production data pipelines and platforms.Strong knowledge of T-SQL and SQL Server with experience in performance tuning and query optimisation.Experience with scripting languages such as Python for automation.Hands-on experience with Microsoft Fabric ...

ensure user-centred, automated infrastructure is developed based on business requirements and best practices. Support and enhance data solutions built on Microsoft Fabric, SQL, Azure Data Factory, and SSIS.Monitor, troubleshoot, and proactively resolve data pipeline issues across multiple client environments.Design and implement robust CI/CD practices for data workflows … testing, and deployment.Skills and experience that you needEssential Experience Proven experience as a Data Engineer supporting production data pipelines and platforms.Strong knowledge of T-SQL and SQL Server with experience in performance tuning and query optimisation.Experience with scripting languages such as Python for automation.Hands-on experience with Microsoft Fabric ...

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 ...

legacy, cloud and on-premises data sources. Engineer reliable data pipelines and models: Design batch, incremental and near-real-time ETL/ELT using SQL, Python and PySpark; apply medallion, dimensional/Kimball, normalised and data-product patterns as appropriate; and use production-grade techniques such as CDC, SCD, schema … governance specialists on Fabric-native governance and Microsoft Purview requirements where these are in project scope. Optimise, monitor and troubleshoot production workloads: Tune SQL, Spark, Delta/Parquet storage, partitioning and compute for performance, cost and reliability. Establish monitoring and alerting for pipelines, notebooks, semantic-model refreshes, data freshness ...

legacy, cloud and on-premises data sources. Engineer reliable data pipelines and models: Design batch, incremental and near-real-time ETL/ELT using SQL, Python and PySpark; apply medallion, dimensional/Kimball, normalised and data-product patterns as appropriate; and use production-grade techniques such as CDC, SCD, schema … governance specialists on Fabric-native governance and Microsoft Purview requirements where these are in project scope. Optimise, monitor and troubleshoot production workloads: Tune SQL, Spark, Delta/Parquet storage, partitioning and compute for performance, cost and reliability. Establish monitoring and alerting for pipelines, notebooks, semantic-model refreshes, data freshness ...

monitoring, observability, exception management, and automation across Market Data and Integration workflows. The Senior Product Analyst will investigate complex data and workflow issues using SQL, Python, logs, dashboards, and source-system analysis; support UAT, regression testing, release readiness, production validation, defect triage, and post-release monitoring … based data platforms. Ability to write clear functional specifications, data mappings, user stories, acceptance criteria, test scenarios, and operational documentation. Hands-on capability with SQL and Python for data investigation, validation, reconciliation, prototyping, automation, or issue analysis. Essential knowledge of key financial instruments and risk analytics concepts, including bonds, equities ...

controls, monitoring, observability, exception management, and automation across Market Data and Integration workflows.The Senior Product Analyst will investigate complex data and workflow issues using SQL, Python, logs, dashboards, and source-system analysis; support UAT, regression testing, release readiness, production validation, defect triage, and post-release monitoring … cloud-based data platforms.Ability to write clear functional specifications, data mappings, user stories, acceptance criteria, test scenarios, and operational documentation.Hands-on capability with SQL and Python for data investigation, validation, reconciliation, prototyping, automation, or issue analysis.Essential knowledge of key financial instruments and risk analytics concepts, including bonds, equities, credit default ...

monitoring, observability, exception management, and automation across Market Data and Integration workflows. The Senior Product Analyst will investigate complex data and workflow issues using SQL, Python, logs, dashboards, and source-system analysis; support UAT, regression testing, release readiness, production validation, defect triage, and post-release monitoring … based data platforms. Ability to write clear functional specifications, data mappings, user stories, acceptance criteria, test scenarios, and operational documentation. Hands-on capability with SQL and Python for data investigation, validation, reconciliation, prototyping, automation, or issue analysis. Essential knowledge of key financial instruments and risk analytics concepts, including bonds, equities ...

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 ...

stakeholdersTechnical 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 ...