Business Intelligence, Big Data & Analytics

Senior Data Quality Analyst (SQL / Power BI)Salary: Up to £52,000 + BenefitsLocation: Central London - Hybrid (2 days per week onsite)Working Hours: 35 hours per week - Full timeJob Type: PermanentA respected organisation is seeking an experienced Senior Data Quality Analyst to drive the improvement of critical asset information across a large and complex property portfolio.This Senior Data Quality Analyst role will focus on leading the strategic roadmap for data quality, ensuring asset data is accurate, trusted and fit for regulatory reporting, operational decision-making and long-term planning.Responsibilities for the Senior Data Quality Analyst:Lead the development and delivery of the Asset Data Quality Roadmap with clear milestones and measurable outcomesDrive large-scale data cleansing, reconciliation and validation programmesOwn and improve data quality within the Asset Management System (AMS)Conduct root cause analysis of data issues and implement sustainable solutionsDevelop data standards, controls and monitoring frameworksBuild and maintain dashboards, scorecards and reporting packs using Power BI and SQLPresent insights and progress updates to senior stakeholdersDeliver training workshops and support colleagues on best practice in data qualityWork with IT, Asset Management and third parties on integrations and migrationsSupport audits, assurance reviews and compliance reportingEssential Skills for the Senior Data Quality Analyst:Advanced experience with SQL, Power BI and data reconciliation toolsData quality, cleansing or transformation experienceStrong analytical skills with the ability to interpret large datasetsKnowledge of data governance frameworks and controlsExperience delivering process improvement and change initiativesStrong stakeholder engagement and communication skillsAbility to translate technical findings into clear business insightDesirable Skills for the Senior Data Quality Analyst:Any relevant certificationsExperience with asset management systems and data migrationsIf you are an experienced data professional looking to lead meaningful improvement across a large asset estate, this role offers visible impact, strong stakeholder exposure and long-term career value.Senior Data Quality Analyst / Data Analyst / Senior Data Analyst

GCP Data Engineer (BigQuery / Dataflow)Salary: Up to £85,000 + Bonus + BenefitsLocation: London - Hybrid (3 days per week onsite)Working Hours: 40 hours per week - Full timeJob Type: PermanentA globally established organisation is seeking an experienced GCP Data Engineer to help build modern, scalable cloud data platforms within a complex enterprise environment.This GCP Data Engineer role will focus on designing data architectures on Google Cloud Platform, building high-performance pipelines, and enabling reliable, secure and governed data solutions that support business growth and decision-making.Responsibilities for the GCP Data Engineer:Design and build scalable data pipelines, ETL/ELT workflows and cloud data architectures on GCPDevelop solutions using services such as BigQuery, Dataflow, Spanner and Cloud StorageBuild and maintain code using Python, Java or Scala for data transformation and processingOptimise data pipelines, queries and workloads for performance and scalabilityImplement data quality, validation and governance controlsCollaborate with cross-functional teams to deliver end-to-end data solutionsEnsure alignment with security, privacy and compliance standardsTroubleshoot issues across pipelines and processing workflowsMaintain documentation across data flows, platforms and architecturesEssential Skills for the GCP Data Engineer:Strong experience as a Data Engineer within GCP environmentsHands-on experience with BigQuery, Dataflow and SpannerStrong programming capability in Python, Java or ScalaExperience with Apache Beam / Dataflow and distributed processing frameworksExperience designing and managing ETL / ELT pipelinesSolid understanding of data modelling and database designExperience with workflow orchestration tools such as Apache AirflowStrong understanding of data governance, security and scalabilityDesirable Skills for the GCP Data Engineer:Experience with Pub/Sub, Cloud Composer or Cloud Data FusionExposure to CI/CD, DevOps and Infrastructure as CodeExperience with real-time streaming architecturesKnowledge of modern data governance frameworksIf you are an experienced GCP Data Engineer looking to build enterprise-scale data platforms using modern Google Cloud technologies, this role offers strong exposure to complex delivery and cloud transformation. GCP, Data Engineer, GCP Data Engineer

Senior Tableau DeveloperSalary: Up to £85,000 + Bonus + BenefitsLocation: Central London - Hybrid (3 days per week onsite)Working Hours: 40 hours per week - Full timeJob Type: PermanentA globally established organisation is seeking a Senior Tableau Developer to support business-critical reporting platforms within a complex, data-driven environment.This role sits within a globally distributed team, providing end-to-end support, analysis and optimisation of BI reporting platforms, ensuring data accuracy, usability and business alignment across multiple regions.Responsibilities for the Senior Tableau Developer:Act as a subject matter expert across BI reporting platforms, understanding data models, business logic and reporting structuresInvestigate and resolve data discrepancies, reporting issues and user queriesSupport and manage incoming requests across BI platforms, ensuring timely and accurate resolutionPerform data validation, reconciliation and root cause analysis across multiple data sourcesProvide clear guidance to stakeholders on data interpretation, metrics and reporting logicCollaborate with data engineering and product teams to escalate and resolve platform issuesSupport operational workflows including automated request handling and exception managementContribute to continuous improvement of reporting accuracy, processes and user experienceEssential Skills for the Senior Tableau Developer:Strong experience with Tableau and BI reporting platformsExperience of sales, commercial or performance reporting metricsExperience querying data sources to investigate, validate, and explain data to business usersExperience working with large datasets and complex data modelsAbility to translate technical findings into clear business insightsStrong stakeholder engagement and communication skillsExperience managing multiple requests in fast-paced environmentsDesirable Skills for the Senior Tableau Developer:Familiarity with B2B and B2C sales reporting structures, including Institutional Sales, Consumer Channel metrics, and related data definitions such as ICDFExperience with tools such as ThoughtSpot, Business Objects or similarExperience working within global or follow-the-sun support modelsUnderstanding of data pipelines and reporting architecturesIf you are an experienced Tableau Developer looking to work within a global, high-impact data environment, this role offers strong exposure to complex reporting platforms and enterprise data challenges.

Lead Data Analyst Salary: Up to £70,000 + Benefits Location: Esher - Hybrid Working Hours: Full time - PermanentA large well-established firm has recently implemented Microsoft Fabric and is now seeking a Lead Data Analyst to take ownership of the organisation's data and analytics capability.This role will lead the development of the company's data platform, ensuring data is transformed into meaningful insights that support decision-making across the business. The Lead Data Analyst will work across the full data lifecycle, from ingestion and modelling through to reporting and visualisation, while also managing and mentoring another Data Analyst/Engineer.The Lead Data Analyst position is ideal for someone who enjoys combining hands-on technical delivery with leadership responsibility, advising on data strategy while building scalable BI solutions.Responsibilities for the Lead Data Analyst:Own the organisation's data and BI capability following the implementation of Microsoft FabricDesign and develop high-quality Power BI dashboards and reporting solutionsDevelop and maintain data pipelines, integrations and data flows within Microsoft Fabric and AzureIntegrate data from third-party systems and internal platforms into the data lake environmentBuild scalable data models and semantic layers for business reportingBuild and optimise SQL queries, data models and dimensional schemas for reportingSupport the continued growth of the organisation's data lake and analytics platformAnalyse and interpret data to identify trends and insights that support business decision-makingWork with business stakeholders to understand data needs and deliver actionable insightsManage and prioritise the analytics backlog to ensure work aligns with business valueLead and mentor a Data Analyst/Engineer while driving best practices across the data functionEssential Skills for the Lead Data Analyst:Strong Power BI expertise including DAXExperience working with Microsoft FabricKnowledge of Azure Synapse, Databricks, SparkStrong SQL capability for querying, shaping and modelling dataExperience building ETL/ELT pipelines and integrating data from APIs, files and databasesExperience with cloud data services within Azure environmentsStrong stakeholder engagement skills and ability to translate data insights for business audiencesDesirable Skills for the Lead Data Analyst:Experience with Python or another analytics-focused programming languageExperience working with Azure Data Lake, Azure Functions or Service BusExperience managing or mentoring analysts or engineersKnowledge of data governance, security and BI deployment best practicesIf you are a data professional looking to take ownership of a modern analytics platform and shape how data drives decision-making across a business, please apply for the Lead Data Analyst position in the immediate instance.Senior Data Analyst, Senior Data & BI Analyst, Lead Data Analyst, Lead Data & BI Analyst

Job title: Data Quality EngineerSalary: £65,000 - £75,000 + Bonus + BenefitsLocation: Cardiff - Hybrid (3 days per week onsite)Working Hours: 40 hours per week - Full timeJob Type: PermanentA globally recognised organisation is seeking a Data Quality Engineer to support the development of a modern cloud-based data platform.This position will play a key role in ensuring the reliability, accuracy and performance of data services by implementing effective testing practices and automation capabilities. Working alongside data engineers and development teams, you will help embed quality engineering principles throughout the development lifecycle while supporting the delivery of robust data solutions. Key ResponsibilitiesDevelop and maintain automated testing frameworks to validate data pipelines and data platform componentsIdentify areas where automation can enhance testing efficiency and coverageCollaborate with engineering teams to define testing approaches and quality standardsEmbed automated testing within CI/CD pipelines to support continuous delivery practicesPerform validation and testing across ETL processes, databases and cloud-based data servicesInvestigate data issues within production environments and help drive improvements in data qualityMaintain clear documentation around testing processes and automation frameworksContribute to improving testing practices and quality standards across the wider programme Essential Skills - Data Quality EngineerStrong hands-on experience in data testing using Python or PySparkDeep understanding of data testing concepts, particularly across ETL and data warehouse environmentsStrong SQL capability with experience testing across relational databases (RDBMS)Experience working with databases such as Oracleand the ability to read and modify stored proceduresExperience implementing BDD testing frameworks such as Cucumber or similar toolsExperience integrating automated tests into CI/CD pipelines using tools such as Azure DevOps, Jenkins or GitLabKnowledge of cloud data platforms such as GCP (BigQuery, Dataflow, Cloud Functions) or similar environmentsExperience with at least one programming language such as Java or JavaScriptExperience performing non-functional testing using tools such as JMeter or similarProven experience establishing testing best practices, quality frameworks and automation strategiesStrong technical troubleshooting skills across Quality Engineering environmentsExcellent stakeholder communication skills with the ability to liaise between engineering teams and business stakeholdersExperience working within Agile delivery environments and participating in Agile ceremoniesExperience using test management tools such as Jira and ZephyrStrong analytical capability with experience reviewing and validating complex datasetsExperience mentoring or managing QA team members across multiple products or projects Desirable Skills -Data Quality EngineerExperience implementing or automating testing within cloud-based platformsPrevious exposure to software development or data engineering environmentsExperience defining or leading test automation strategiesand mentoring team members on automation best practices If you are interested in working on modern data platforms and ensuring high standards of data reliability and testing automation, please apply with a copy of your most up to date CV.

Lead Data Analyst Salary: Up to £70,000 + Benefits Location: Esher - Hybrid (4 days onsite, 1 day remote) Working Hours: Full time - PermanentA large well-established firm has recently implemented Microsoft Fabric and is now seeking a Lead Data Analyst to take ownership of the organisation's data and analytics capability.This role will lead the development of the company's data platform, ensuring data is transformed into meaningful insights that support decision-making across the business. The Lead Data Analyst will work across the full data lifecycle, from ingestion and modelling through to reporting and visualisation, while also managing and mentoring another Data Analyst/Engineer.The Lead Data Analyst position is ideal for someone who enjoys combining hands-on technical delivery with leadership responsibility, advising on data strategy while building scalable BI solutions.Responsibilities for the Lead Data Analyst:Own the organisation's data and BI capability following the implementation of Microsoft FabricDesign and develop high-quality Power BI dashboards and reporting solutionsDevelop and maintain data pipelines, integrations and data flows within Microsoft Fabric and AzureIntegrate data from third-party systems and internal platforms into the data lake environmentBuild scalable data models and semantic layers for business reportingBuild and optimise SQL queries, data models and dimensional schemas for reportingSupport the continued growth of the organisation's data lake and analytics platformAnalyse and interpret data to identify trends and insights that support business decision-makingWork with business stakeholders to understand data needs and deliver actionable insightsManage and prioritise the analytics backlog to ensure work aligns with business valueLead and mentor a Data Analyst/Engineer while driving best practices across the data functionEssential Skills for the Lead Data Analyst:Strong Power BI expertise including DAXExperience working with Microsoft FabricKnowledge of Azure Synapse, Databricks, SparkStrong SQL capability for querying, shaping and modelling dataExperience building ETL/ELT pipelines and integrating data from APIs, files and databasesExperience with cloud data services within Azure environmentsStrong stakeholder engagement skills and ability to translate data insights for business audiencesDesirable Skills for the Lead Data Analyst:Experience with Python or another analytics-focused programming languageExperience working with Azure Data Lake, Azure Functions or Service BusExperience managing or mentoring analysts or engineersKnowledge of data governance, security and BI deployment best practicesIf you are a data professional looking to take ownership of a modern analytics platform and shape how data drives decision-making across a business, please apply for the Lead Data Analyst position in the immediate instance.Senior Data Analyst, Senior Data & BI Analyst, Lead Data Analyst, Lead Data & BI Analyst

Data Architect (MDM Focus)Salary: Up to £90,000 + Bonus + BenefitsLocation: Central London - OnsiteWorking Hours: 40 hours per week - Full timeA globally established organisation is seeking a Data Architect to join a large-scale enterprise data transformation programme. This role will focus on the design and delivery of Master Data Management solutions, supporting the creation of high-quality, governed and scalable master data assets across the organisation.This is a hands-on architectural role suited to an experienced data professional with strong Informatica expertise who can define data models, establish MDM frameworks and drive best practice across enterprise data architecture.Responsibilities for the Data Architect:Define conceptual, logical and physical data models for master data domains, ensuring alignment with enterprise architecture standardsDesign and implement scalable Master Data Management frameworks and integration patternsArchitect data ingestion pipelines and ETL processes integrating multiple source systems into an MDM hubDefine matching, merging and survivorship rules to ensure trusted master dataEstablish data quality frameworks including validation and governance controlsEnsure alignment with security, compliance and enterprise data governance standardsCollaborate with business and technology stakeholders to align master data architecture with operational and analytical use casesEssential Skills for the Data Architect:Strong hands-on experience with Informatica MDMExperience with Informatica CDQ and enterprise data quality toolingStrong background in data modelling and data architecture principlesExperience designing and delivering Master Data Management solutions in complex environmentsStrong understanding of data governance, lineage and lifecycle managementDesirable Skills for the Data Architect:Experience within insurance or regulated financial services environmentsExperience contributing to large-scale data transformation programmesIf you are an experienced Data Architect with strong MDM expertise looking to drive enterprise data transformation initiatives, please apply in the immediate instance. Data Architect, MDM Architect

Data Scientist Rate: up to £450/day Outside IR35 Contract Length: 6 Months + Likely Extension Location: Hybrid - 1 day per week onsite in Central London Working Hours: 37.5/weekAn established organisation is seeking a Data Scientist to join a forward-thinking data function focused on advanced analytics predictive modelling plus data-driven decision support. This role offers the opportunity to work on complex high-value problems using modern data science tooling within a collaborative delivery-focused environment.The Data Scientist role suits a hands-on Data Scientist who is comfortable working across the full lifecycle from data exploration through to model development validation plus deployment support.Responsibilities for the Data Scientist:Develop statistical models machine learning solutions analytical frameworks to address complex business problemsExplore large structured semi-structured datasets to identify patterns trends predictive signalsBuild test refine models using modern data science libraries within cloud-based platformsTranslate analytical outputs into clear insights recommendations for technical non-technical stakeholdersWork closely with data engineers analysts to ensure models are production-ready scalableValidate model performance manage bias ensure outputs are robust explainable reliableContribute to continuous improvement of data science practices tooling governanceEssential Skills for the Data Scientist:Strong experience in data science using Python with libraries such as Pandas NumPy scikit-learn or similarSolid grounding in statistics probability machine learning techniquesProven experience working within cloud environments such as AWS Azure or GCPExperience working with SQL large analytical datasetsAbility to clearly communicate complex analytical concepts to a broad audienceStrong problem-solving skills with a delivery-focused mindsetRelevant academic qualifications in Data Science Statistics Mathematics Computer Science or a related quantitative disciplineDesirable Skills for the Data Scientist:Experience with deep learning frameworks advanced modelling techniquesFamiliarity with MLOps concepts model monitoring deployment pipelinesExposure to tools such as Databricks MLflow feature storesExperience working in Agile product-led delivery environmentsUnderstanding of data governance ethics model explainabilityRelevant professional certifications relating to cloud data platforms machine learning or analyticsIf you are a Data Scientist with strong technical depth plus cloud experience relevant qualifications plus a track record of delivering real-world analytical solutions who is looking for a high-impact Outside IR35 contract please apply in the immediate instance. Data Scientist

Data Analyst Rate: up to £325/day Outside IR35 Contract Length: 6 Months + Ext Location: Hybrid - 1 day per week onsite in Central London Working Hours: 37.5 An established organisation is seeking a Data Analyst to join a growing data function supporting the delivery of insight-led decision making across the business. This is a hands-on contract role suited to a technically strong analyst who is comfortable working with modern analytics tooling clean data models plus stakeholder-facing outputs.The Data Analyst will work closely with technical plus non-technical teams to transform raw data into trusted insight leveraging contemporary analytics platforms plus best-practice approaches to data modelling visualisation reporting.Responsibilities for the Data Analyst:Analyse model interpret complex datasets to deliver clear actionable insights that support business decision-makingBuild maintain scalable reporting analytics solutions using modern BI analytics toolsWork with structured semi-structured data sources ensuring data quality consistency reliabilityDevelop reusable datasets semantic models to support self-service analyticsCollaborate with stakeholders to understand reporting requirements translate them into effective analytical outputsSupport ongoing improvement of analytics processes tooling data governance standardsContribute to adoption of modern analytics practices including automation version-controlled workflowsEssential Skills for the Data Analyst:Strong experience in data analysis using SQL with ability to write performant well-structured queriesExperience building dashboards reports using modern BI tools (Power BI Tableau Looker or similar)Solid understanding of data modelling concepts including star schemas analytical datasetsExperience working with cloud-based data platforms modern data stacksAbility to communicate insights clearly to both technical non-technical stakeholdersStrong analytical mindset with excellent attention to detailDesirable Skills for the Data Analyst:Experience using Python for data analysis transformation automationExposure to cloud data platforms such as Azure AWS GCPFamiliarity with modern analytics engineering tools (dbt or similar)Experience working in Agile delivery environmentsUnderstanding of data governance data quality frameworks metric standardisationIf you are a Data Analyst with strong technical capability plus experience working with modern analytics technologies who is looking for a flexible Outside IR35 contract with a hybrid working arrangement please apply in the immediate instance.

Senior Data Quality Analyst (SQL / Power BI)Salary: Up to £52,000 + BenefitsLocation: Central London - Hybrid (2 days per week onsite)Working Hours: 35 hours per week - Full timeJob Type: PermanentA respected organisation is seeking an experienced Senior Data Quality Analyst to drive the improvement of critical asset information across a large and complex property portfolio.This Senior Data Quality Analyst role will focus on leading the strategic roadmap for data quality, ensuring asset data is accurate, trusted and fit for regulatory reporting, operational decision-making and long-term planning.Responsibilities for the Senior Data Quality Analyst:Lead the development and delivery of the Asset Data Quality Roadmap with clear milestones and measurable outcomesDrive large-scale data cleansing, reconciliation and validation programmesOwn and improve data quality within the Asset Management System (AMS)Conduct root cause analysis of data issues and implement sustainable solutionsDevelop data standards, controls and monitoring frameworksBuild and maintain dashboards, scorecards and reporting packs using Power BI and SQLPresent insights and progress updates to senior stakeholdersDeliver training workshops and support colleagues on best practice in data qualityWork with IT, Asset Management and third parties on integrations and migrationsSupport audits, assurance reviews and compliance reportingEssential Skills for the Senior Data Quality Analyst:Advanced experience with SQL, Power BI and data reconciliation toolsData quality, cleansing or transformation experienceStrong analytical skills with the ability to interpret large datasetsKnowledge of data governance frameworks and controlsExperience delivering process improvement and change initiativesStrong stakeholder engagement and communication skillsAbility to translate technical findings into clear business insightDesirable Skills for the Senior Data Quality Analyst:Any relevant certificationsExperience with asset management systems and data migrationsIf you are an experienced data professional looking to lead meaningful improvement across a large asset estate, this role offers visible impact, strong stakeholder exposure and long-term career value.Senior Data Quality Analyst / Data Analyst / Senior Data Analyst

GCP Data Engineer (BigQuery / Dataflow)Salary: Up to £85,000 + Bonus + BenefitsLocation: London - Hybrid (3 days per week onsite)Working Hours: 40 hours per week - Full timeJob Type: PermanentA globally established organisation is seeking an experienced GCP Data Engineer to help build modern, scalable cloud data platforms within a complex enterprise environment.This GCP Data Engineer role will focus on designing data architectures on Google Cloud Platform, building high-performance pipelines, and enabling reliable, secure and governed data solutions that support business growth and decision-making.Responsibilities for the GCP Data Engineer:Design and build scalable data pipelines, ETL/ELT workflows and cloud data architectures on GCPDevelop solutions using services such as BigQuery, Dataflow, Spanner and Cloud StorageBuild and maintain code using Python, Java or Scala for data transformation and processingOptimise data pipelines, queries and workloads for performance and scalabilityImplement data quality, validation and governance controlsCollaborate with cross-functional teams to deliver end-to-end data solutionsEnsure alignment with security, privacy and compliance standardsTroubleshoot issues across pipelines and processing workflowsMaintain documentation across data flows, platforms and architecturesEssential Skills for the GCP Data Engineer:Strong experience as a Data Engineer within GCP environmentsHands-on experience with BigQuery, Dataflow and SpannerStrong programming capability in Python, Java or ScalaExperience with Apache Beam / Dataflow and distributed processing frameworksExperience designing and managing ETL / ELT pipelinesSolid understanding of data modelling and database designExperience with workflow orchestration tools such as Apache AirflowStrong understanding of data governance, security and scalabilityDesirable Skills for the GCP Data Engineer:Experience with Pub/Sub, Cloud Composer or Cloud Data FusionExposure to CI/CD, DevOps and Infrastructure as CodeExperience with real-time streaming architecturesKnowledge of modern data governance frameworksIf you are an experienced GCP Data Engineer looking to build enterprise-scale data platforms using modern Google Cloud technologies, this role offers strong exposure to complex delivery and cloud transformation. GCP, Data Engineer, GCP Data Engineer

Senior Tableau DeveloperSalary: Up to £85,000 + Bonus + BenefitsLocation: Central London - Hybrid (3 days per week onsite)Working Hours: 40 hours per week - Full timeJob Type: PermanentA globally established organisation is seeking a Senior Tableau Developer to support business-critical reporting platforms within a complex, data-driven environment.This role sits within a globally distributed team, providing end-to-end support, analysis and optimisation of BI reporting platforms, ensuring data accuracy, usability and business alignment across multiple regions.Responsibilities for the Senior Tableau Developer:Act as a subject matter expert across BI reporting platforms, understanding data models, business logic and reporting structuresInvestigate and resolve data discrepancies, reporting issues and user queriesSupport and manage incoming requests across BI platforms, ensuring timely and accurate resolutionPerform data validation, reconciliation and root cause analysis across multiple data sourcesProvide clear guidance to stakeholders on data interpretation, metrics and reporting logicCollaborate with data engineering and product teams to escalate and resolve platform issuesSupport operational workflows including automated request handling and exception managementContribute to continuous improvement of reporting accuracy, processes and user experienceEssential Skills for the Senior Tableau Developer:Strong experience with Tableau and BI reporting platformsExperience of sales, commercial or performance reporting metricsExperience querying data sources to investigate, validate, and explain data to business usersExperience working with large datasets and complex data modelsAbility to translate technical findings into clear business insightsStrong stakeholder engagement and communication skillsExperience managing multiple requests in fast-paced environmentsDesirable Skills for the Senior Tableau Developer:Familiarity with B2B and B2C sales reporting structures, including Institutional Sales, Consumer Channel metrics, and related data definitions such as ICDFExperience with tools such as ThoughtSpot, Business Objects or similarExperience working within global or follow-the-sun support modelsUnderstanding of data pipelines and reporting architecturesIf you are an experienced Tableau Developer looking to work within a global, high-impact data environment, this role offers strong exposure to complex reporting platforms and enterprise data challenges.

Lead Data Analyst Salary: Up to £70,000 + Benefits Location: Esher - Hybrid Working Hours: Full time - PermanentA large well-established firm has recently implemented Microsoft Fabric and is now seeking a Lead Data Analyst to take ownership of the organisation's data and analytics capability.This role will lead the development of the company's data platform, ensuring data is transformed into meaningful insights that support decision-making across the business. The Lead Data Analyst will work across the full data lifecycle, from ingestion and modelling through to reporting and visualisation, while also managing and mentoring another Data Analyst/Engineer.The Lead Data Analyst position is ideal for someone who enjoys combining hands-on technical delivery with leadership responsibility, advising on data strategy while building scalable BI solutions.Responsibilities for the Lead Data Analyst:Own the organisation's data and BI capability following the implementation of Microsoft FabricDesign and develop high-quality Power BI dashboards and reporting solutionsDevelop and maintain data pipelines, integrations and data flows within Microsoft Fabric and AzureIntegrate data from third-party systems and internal platforms into the data lake environmentBuild scalable data models and semantic layers for business reportingBuild and optimise SQL queries, data models and dimensional schemas for reportingSupport the continued growth of the organisation's data lake and analytics platformAnalyse and interpret data to identify trends and insights that support business decision-makingWork with business stakeholders to understand data needs and deliver actionable insightsManage and prioritise the analytics backlog to ensure work aligns with business valueLead and mentor a Data Analyst/Engineer while driving best practices across the data functionEssential Skills for the Lead Data Analyst:Strong Power BI expertise including DAXExperience working with Microsoft FabricKnowledge of Azure Synapse, Databricks, SparkStrong SQL capability for querying, shaping and modelling dataExperience building ETL/ELT pipelines and integrating data from APIs, files and databasesExperience with cloud data services within Azure environmentsStrong stakeholder engagement skills and ability to translate data insights for business audiencesDesirable Skills for the Lead Data Analyst:Experience with Python or another analytics-focused programming languageExperience working with Azure Data Lake, Azure Functions or Service BusExperience managing or mentoring analysts or engineersKnowledge of data governance, security and BI deployment best practicesIf you are a data professional looking to take ownership of a modern analytics platform and shape how data drives decision-making across a business, please apply for the Lead Data Analyst position in the immediate instance.Senior Data Analyst, Senior Data & BI Analyst, Lead Data Analyst, Lead Data & BI Analyst

Job title: Data Quality EngineerSalary: £65,000 - £75,000 + Bonus + BenefitsLocation: Cardiff - Hybrid (3 days per week onsite)Working Hours: 40 hours per week - Full timeJob Type: PermanentA globally recognised organisation is seeking a Data Quality Engineer to support the development of a modern cloud-based data platform.This position will play a key role in ensuring the reliability, accuracy and performance of data services by implementing effective testing practices and automation capabilities. Working alongside data engineers and development teams, you will help embed quality engineering principles throughout the development lifecycle while supporting the delivery of robust data solutions. Key ResponsibilitiesDevelop and maintain automated testing frameworks to validate data pipelines and data platform componentsIdentify areas where automation can enhance testing efficiency and coverageCollaborate with engineering teams to define testing approaches and quality standardsEmbed automated testing within CI/CD pipelines to support continuous delivery practicesPerform validation and testing across ETL processes, databases and cloud-based data servicesInvestigate data issues within production environments and help drive improvements in data qualityMaintain clear documentation around testing processes and automation frameworksContribute to improving testing practices and quality standards across the wider programme Essential Skills - Data Quality EngineerStrong hands-on experience in data testing using Python or PySparkDeep understanding of data testing concepts, particularly across ETL and data warehouse environmentsStrong SQL capability with experience testing across relational databases (RDBMS)Experience working with databases such as Oracleand the ability to read and modify stored proceduresExperience implementing BDD testing frameworks such as Cucumber or similar toolsExperience integrating automated tests into CI/CD pipelines using tools such as Azure DevOps, Jenkins or GitLabKnowledge of cloud data platforms such as GCP (BigQuery, Dataflow, Cloud Functions) or similar environmentsExperience with at least one programming language such as Java or JavaScriptExperience performing non-functional testing using tools such as JMeter or similarProven experience establishing testing best practices, quality frameworks and automation strategiesStrong technical troubleshooting skills across Quality Engineering environmentsExcellent stakeholder communication skills with the ability to liaise between engineering teams and business stakeholdersExperience working within Agile delivery environments and participating in Agile ceremoniesExperience using test management tools such as Jira and ZephyrStrong analytical capability with experience reviewing and validating complex datasetsExperience mentoring or managing QA team members across multiple products or projects Desirable Skills -Data Quality EngineerExperience implementing or automating testing within cloud-based platformsPrevious exposure to software development or data engineering environmentsExperience defining or leading test automation strategiesand mentoring team members on automation best practices If you are interested in working on modern data platforms and ensuring high standards of data reliability and testing automation, please apply with a copy of your most up to date CV.

Lead Data Analyst Salary: Up to £70,000 + Benefits Location: Esher - Hybrid (4 days onsite, 1 day remote) Working Hours: Full time - PermanentA large well-established firm has recently implemented Microsoft Fabric and is now seeking a Lead Data Analyst to take ownership of the organisation's data and analytics capability.This role will lead the development of the company's data platform, ensuring data is transformed into meaningful insights that support decision-making across the business. The Lead Data Analyst will work across the full data lifecycle, from ingestion and modelling through to reporting and visualisation, while also managing and mentoring another Data Analyst/Engineer.The Lead Data Analyst position is ideal for someone who enjoys combining hands-on technical delivery with leadership responsibility, advising on data strategy while building scalable BI solutions.Responsibilities for the Lead Data Analyst:Own the organisation's data and BI capability following the implementation of Microsoft FabricDesign and develop high-quality Power BI dashboards and reporting solutionsDevelop and maintain data pipelines, integrations and data flows within Microsoft Fabric and AzureIntegrate data from third-party systems and internal platforms into the data lake environmentBuild scalable data models and semantic layers for business reportingBuild and optimise SQL queries, data models and dimensional schemas for reportingSupport the continued growth of the organisation's data lake and analytics platformAnalyse and interpret data to identify trends and insights that support business decision-makingWork with business stakeholders to understand data needs and deliver actionable insightsManage and prioritise the analytics backlog to ensure work aligns with business valueLead and mentor a Data Analyst/Engineer while driving best practices across the data functionEssential Skills for the Lead Data Analyst:Strong Power BI expertise including DAXExperience working with Microsoft FabricKnowledge of Azure Synapse, Databricks, SparkStrong SQL capability for querying, shaping and modelling dataExperience building ETL/ELT pipelines and integrating data from APIs, files and databasesExperience with cloud data services within Azure environmentsStrong stakeholder engagement skills and ability to translate data insights for business audiencesDesirable Skills for the Lead Data Analyst:Experience with Python or another analytics-focused programming languageExperience working with Azure Data Lake, Azure Functions or Service BusExperience managing or mentoring analysts or engineersKnowledge of data governance, security and BI deployment best practicesIf you are a data professional looking to take ownership of a modern analytics platform and shape how data drives decision-making across a business, please apply for the Lead Data Analyst position in the immediate instance.Senior Data Analyst, Senior Data & BI Analyst, Lead Data Analyst, Lead Data & BI Analyst

Data Architect (MDM Focus)Salary: Up to £90,000 + Bonus + BenefitsLocation: Central London - OnsiteWorking Hours: 40 hours per week - Full timeA globally established organisation is seeking a Data Architect to join a large-scale enterprise data transformation programme. This role will focus on the design and delivery of Master Data Management solutions, supporting the creation of high-quality, governed and scalable master data assets across the organisation.This is a hands-on architectural role suited to an experienced data professional with strong Informatica expertise who can define data models, establish MDM frameworks and drive best practice across enterprise data architecture.Responsibilities for the Data Architect:Define conceptual, logical and physical data models for master data domains, ensuring alignment with enterprise architecture standardsDesign and implement scalable Master Data Management frameworks and integration patternsArchitect data ingestion pipelines and ETL processes integrating multiple source systems into an MDM hubDefine matching, merging and survivorship rules to ensure trusted master dataEstablish data quality frameworks including validation and governance controlsEnsure alignment with security, compliance and enterprise data governance standardsCollaborate with business and technology stakeholders to align master data architecture with operational and analytical use casesEssential Skills for the Data Architect:Strong hands-on experience with Informatica MDMExperience with Informatica CDQ and enterprise data quality toolingStrong background in data modelling and data architecture principlesExperience designing and delivering Master Data Management solutions in complex environmentsStrong understanding of data governance, lineage and lifecycle managementDesirable Skills for the Data Architect:Experience within insurance or regulated financial services environmentsExperience contributing to large-scale data transformation programmesIf you are an experienced Data Architect with strong MDM expertise looking to drive enterprise data transformation initiatives, please apply in the immediate instance. Data Architect, MDM Architect

Data Scientist Rate: up to £450/day Outside IR35 Contract Length: 6 Months + Likely Extension Location: Hybrid - 1 day per week onsite in Central London Working Hours: 37.5/weekAn established organisation is seeking a Data Scientist to join a forward-thinking data function focused on advanced analytics predictive modelling plus data-driven decision support. This role offers the opportunity to work on complex high-value problems using modern data science tooling within a collaborative delivery-focused environment.The Data Scientist role suits a hands-on Data Scientist who is comfortable working across the full lifecycle from data exploration through to model development validation plus deployment support.Responsibilities for the Data Scientist:Develop statistical models machine learning solutions analytical frameworks to address complex business problemsExplore large structured semi-structured datasets to identify patterns trends predictive signalsBuild test refine models using modern data science libraries within cloud-based platformsTranslate analytical outputs into clear insights recommendations for technical non-technical stakeholdersWork closely with data engineers analysts to ensure models are production-ready scalableValidate model performance manage bias ensure outputs are robust explainable reliableContribute to continuous improvement of data science practices tooling governanceEssential Skills for the Data Scientist:Strong experience in data science using Python with libraries such as Pandas NumPy scikit-learn or similarSolid grounding in statistics probability machine learning techniquesProven experience working within cloud environments such as AWS Azure or GCPExperience working with SQL large analytical datasetsAbility to clearly communicate complex analytical concepts to a broad audienceStrong problem-solving skills with a delivery-focused mindsetRelevant academic qualifications in Data Science Statistics Mathematics Computer Science or a related quantitative disciplineDesirable Skills for the Data Scientist:Experience with deep learning frameworks advanced modelling techniquesFamiliarity with MLOps concepts model monitoring deployment pipelinesExposure to tools such as Databricks MLflow feature storesExperience working in Agile product-led delivery environmentsUnderstanding of data governance ethics model explainabilityRelevant professional certifications relating to cloud data platforms machine learning or analyticsIf you are a Data Scientist with strong technical depth plus cloud experience relevant qualifications plus a track record of delivering real-world analytical solutions who is looking for a high-impact Outside IR35 contract please apply in the immediate instance. Data Scientist

Data Analyst Rate: up to £325/day Outside IR35 Contract Length: 6 Months + Ext Location: Hybrid - 1 day per week onsite in Central London Working Hours: 37.5 An established organisation is seeking a Data Analyst to join a growing data function supporting the delivery of insight-led decision making across the business. This is a hands-on contract role suited to a technically strong analyst who is comfortable working with modern analytics tooling clean data models plus stakeholder-facing outputs.The Data Analyst will work closely with technical plus non-technical teams to transform raw data into trusted insight leveraging contemporary analytics platforms plus best-practice approaches to data modelling visualisation reporting.Responsibilities for the Data Analyst:Analyse model interpret complex datasets to deliver clear actionable insights that support business decision-makingBuild maintain scalable reporting analytics solutions using modern BI analytics toolsWork with structured semi-structured data sources ensuring data quality consistency reliabilityDevelop reusable datasets semantic models to support self-service analyticsCollaborate with stakeholders to understand reporting requirements translate them into effective analytical outputsSupport ongoing improvement of analytics processes tooling data governance standardsContribute to adoption of modern analytics practices including automation version-controlled workflowsEssential Skills for the Data Analyst:Strong experience in data analysis using SQL with ability to write performant well-structured queriesExperience building dashboards reports using modern BI tools (Power BI Tableau Looker or similar)Solid understanding of data modelling concepts including star schemas analytical datasetsExperience working with cloud-based data platforms modern data stacksAbility to communicate insights clearly to both technical non-technical stakeholdersStrong analytical mindset with excellent attention to detailDesirable Skills for the Data Analyst:Experience using Python for data analysis transformation automationExposure to cloud data platforms such as Azure AWS GCPFamiliarity with modern analytics engineering tools (dbt or similar)Experience working in Agile delivery environmentsUnderstanding of data governance data quality frameworks metric standardisationIf you are a Data Analyst with strong technical capability plus experience working with modern analytics technologies who is looking for a flexible Outside IR35 contract with a hybrid working arrangement please apply in the immediate instance.