1 to 25 of 5,108 SQL Jobs in the UK

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

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 ...

variety of data sources Carry out reactive and proactive data analysis of large datasets using a wide range of technologies such as Python, SQL and Power BI. Supervise the work of junior team members and be responsible for quality control of work products from the team Develop algorithms and solutions … have: Strong academic qualifications with a degree in a STEM discipline (Computer Science, Engineering, Statistics, Mathematics, etc.) or equivalent work experience Demonstrable proficiency in SQL, Python, Azure data factory and/or Databricks, and Visualization techniques and awareness across other programming languages such as R, C#, JavaScript Ability to work ...

contributing to overall team success. Support operational excellence and knowledge transfer to production support teams. Required Skills & Experience Data Engineering & Development Strong expertise in SQL database development and optimization. Hands-on experience with: Snowflake DBT Azure Data Factory Python Experience designing and developing enterprise-scale data pipelines and integrations. Strong … governance and data quality frameworks. Exposure to AI, analytics, and advanced data platform capabilities. Skills Azure DevOps, Data Validation, Azure Functions, Cloud Data Warehousing, SQL, Python About the company the company is a global digital transformation solutions provider. For more than 20 years, the company has worked side by side ...

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 ...

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 ...

data structures and data models within investment platforms such as Aladdin, CRIMS, Charles River, Eagle, or other Front Office and Investment Management platforms.Strong SQL skills with the ability to write complex queries, joins, aggregations, reconciliation queries, and validation scripts.Experience working with structured and semi-structured data formats including SQL tables ...

documentation.Assess technical feasibility, dependencies, risks and implementation options.Act as a trusted advisor to both business and technical partners.Data & Database AnalysisPerform sophisticated data analysis using SQL and other analytical tools.Investigate data quality issues and identify root causes of business problems.Validate data migrations, transformations and integrations.Create queries, reports and analytical outputs … working within Agile delivery frameworks.Strong workshop facilitation and communication capabilities.Ability to influence business partners at all levels of an organisation.Technical CapabilityHands-on experience with SQL and relational databases.Practical coding or scripting experience (e.g., Python, JavaScript, C# or similar).Experience analysing APIs, integrations and system interfaces.Understanding of software development lifecycle ...

timely information is available to support operational management, clinical governance, contractual reporting and strategic decision-making. Job description Job responsibilities Develop, maintain and support SQL databases, data models, queries, stored procedures and reporting datasets. Develop and maintain Power BI reports, dashboards and semantic models supporting operational, contractual, financial, clinical … Develop and maintain automated ETL and data-processing pipelines, including ingestion, transformation, validation and loading of information from clinical and operational systems. Use Python, SQL and other appropriate technologies to automate repetitive data-processing and reporting activities. Monitor scheduled data processes, reporting systems and interfaces, investigating and resolving failures ...

looking for Essential skills and experience: 4–6 years’ experience in Data Engineering, Integration Engineering, Automation Engineering or a similar role. Strong SQL Server and T-SQL skills. Experience developing ETL/ELT processes and data pipelines. Experience with APIs, integrations and data exchange technologies. Experience using Microsoft Azure services. ...

Science, Data Engineering, or a related field (preferred but not mandatory). Skills and Experience: Experience with databases and analytics, including relational databases (e.g. SQL Server), Data Warehousing, Big Data and business analytics using visualisation tools (Power BI). Experience designing solution using Microsoft Azure stacks such as Azure Data … associated systems to provide repositories of information. Exposure to Semarchy (MDM Solution) would be advantageous. Exposure to NEC Housing Management Solution and PL/SQL would be advantageous. Exposure to Total Mobile. If you require any reasonable adjustments at any stage during this process, including application stage, please email About ...

when requested.What we are looking forEssential skills and experience:4–6 years’ experience in Data Engineering, Integration Engineering, Automation Engineering or a similar role.Strong SQL Server and T-SQL skills.Experience developing ETL/ELT processes and data pipelines.Experience with APIs, integrations and data exchange technologies.Experience using Microsoft Azure services.Experience with ...

when requested.What we are looking forEssential skills and experience:4–6 years’ experience in Data Engineering, Integration Engineering, Automation Engineering or a similar role.Strong SQL Server and T-SQL skills.Experience developing ETL/ELT processes and data pipelines.Experience with APIs, integrations and data exchange technologies.Experience using Microsoft Azure services.Experience with ...

when requested.What we are looking forEssential skills and experience:4–6 years’ experience in Data Engineering, Integration Engineering, Automation Engineering or a similar role.Strong SQL Server and T-SQL skills.Experience developing ETL/ELT processes and data pipelines.Experience with APIs, integrations and data exchange technologies.Experience using Microsoft Azure services.Experience with ...

when requested.What we are looking forEssential skills and experience:4–6 years’ experience in Data Engineering, Integration Engineering, Automation Engineering or a similar role.Strong SQL Server and T-SQL skills.Experience developing ETL/ELT processes and data pipelines.Experience with APIs, integrations and data exchange technologies.Experience using Microsoft Azure services.Experience with ...

Science, Data Engineering, or a related field (preferred but not mandatory). Skills and Experience: Experience with databases and analytics, including relational databases (e.g. SQL Server), Data Warehousing, Big Data and business analytics using visualisation tools (Power BI). Experience designing solution using Microsoft Azure stacks such as Azure Data … associated systems to provide repositories of information. Exposure to Semarchy (MDM Solution) would be advantageous. Exposure to NEC Housing Management Solution and PL/SQL would be advantageous. Exposure to Total Mobile. If you require any reasonable adjustments at any stage during this process, including application stage, please email ...

data warehouse and data lake principles Demonstrable data modelling capabilities using Kimball, Inmon or Data Vault methodologies Experience working with relational database platforms Advanced SQL skills Exposure to data engineering coding languages such as Python, R or Spark Awareness of AI and ML methodologies and their application in data solutions … mentoring colleagues, and delivering high‐quality consultancy to clients. Highest-signal resume keywords Cloud Data Platform Design Data Architecture Development Leadership and Mentoring Advanced SQL Skills ETL and Data Pipeline Design ATS Optimization Keywords Hard Skills Data Engineering Business Intelligence Data Modelling Data Warehouse Principles Data Lake Principles Python ...

delivery outcomes. Technical Skills Strong experience designing and delivering modern data platforms using Microsoft Fabric, Azure Databricks, Azure Data Factory, Azure Synapse Analytics, Azure SQL and Data Lake technologies . Proven experience implementing Lakehouse, Data Warehouse and Medallion Architecture patterns, including data modelling, governance and performance optimization . Expertise … building scalable data ingestion, transformation and orchestration pipelines, integrating data from cloud, on‐premises and third‐party business systems. Strong hands‐on capability with SQL, Python, Spark and PySpark for data engineering, analytics and automation workloads. Experience with Azure Databricks and/or Microsoft Fabric engineering workloads, including notebooks, Delta ...

deployments. Troubleshoot production issues and improve platform reliability and supportability. Collaborate with engineers, analysts and stakeholders to deliver practical solutions. Essential Skills Strong SQL and Snowflake experience. Data engineering and ETL/ELT development. Dimensional modelling (Kimball methodology). dbt development and engineering best practices. Azure Data Factory, Azure Functions ...

deployments. Troubleshoot production issues and improve platform reliability and supportability. Collaborate with engineers, analysts and stakeholders to deliver practical solutions. Essential Skills Strong SQL and Snowflake experience. Data engineering and ETL/ELT development. Dimensional modelling (Kimball methodology). dbt development and engineering best practices. Azure Data Factory, Azure Functions ...

Software Engineering Strong experience designing and implementing enterprise-scale data architectures Expertise with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Advanced SQL and Python development skills Experience building ETL/ELT pipelines and modern data integration solutions Strong understanding of DataOps, DevOps, CI/CD, and Infrastructure ...

Looker — connecting data sources, modelling the semantic layer, and building dashboards independently.Experience with other BI and visualisation platforms (e.g., Tableau, Power BI).Proficiency in SQL and experience working with large datasets.Demonstrated experience building self-serve BI that empowers non-technical users, rather than only servicing one-off report requests.Strong business ...