Business Intelligence, Big Data & Analytics

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.

Azure Data EngineerRate - up to £350/day Outside IR35Location - 2 days a week onsite in Central LondonDuration - 6 Months + Likely ExtensionWe are working with a well-established consultancy supporting a high-impact data transformation programme for an end client based in Central London. They are seeking an experienced Azure Data Engineer to join the project on an initial 6-month contract, with strong potential for extension. Key Responsibilities - Azure Data Engineer:Design, build and maintain scalable and secure data pipelines on the Azure platform.Develop and deploy data ingestion processes using Azure Data Factory, Databricks (PySpark), and Azure Synapse Analytics.Optimise ETL/ELT processes to improve performance, reliability and efficiency.Integrate multiple data sources including Azure Data Lake (Gen2), SQL-based systems and APIs.Collaborate with Data Architects, Analysts, and stakeholders to define data models and ensure best practices in data engineering.Ensure compliance with data governance and security policies (incl. GDPR and ISO standards).Required Skills & Experience - Azure Data Engineer:Proven commercial experience as a Data Engineer delivering enterprise-scale solutions in AzureAzure Data FactoryAzure Databricks (PySpark)SQL & PythonUnderstanding of CI/CD in a data environment, ideally with tools like Azure DevOps.Experience working within consultancy or client-facing projects is highly desirable.Interested? Apply now with your CV or reach out to discuss the opportunity further. This is a highly sought-after role for a consultant who wants to contribute to a major Azure-led data transformation programme. Data Engineer, Azure Data Engineer, Senior Data Engineer

AWS Data Engineer Rate: Up to £325 per day (Outside IR35) Contract Length: 6 Months (with strong potential for extension) Location: Hybrid - 1 day per week onsite in Central London A leading organisation is seeking an experienced AWS Data Engineer to join their data and analytics team, contributing to the design, development and optimisation of large-scale data solutions within a modern cloud environment. This contract offers the opportunity to work on high-impact projects, delivering data platforms and pipelines that drive real-time insights and strategic business decisions.Responsibilities for the AWS Data Engineer:Design, build and maintain scalable data pipelines and architectures within the AWS ecosystemLeverage services such as AWS Glue, Lambda, Redshift, EMR and S3 to support data ingestion, transformation and storageWork closely with data analysts, architects and business stakeholders to translate requirements into robust technical solutionsImplement and optimise ETL/ELT processes, ensuring data integrity, consistency and quality across multiple sourcesApply best practices in data modelling, version control, and CI/CD to deliver maintainable and reusable codeMonitor data performance and reliability, proactively identifying opportunities to enhance efficiency and scalabilitySupport the integration of data from diverse systems, including APIs and third-party platforms, into a unified architectureEnsure compliance with data governance, privacy and security policies throughout all stages of developmentCollaborate in an Agile environment, contributing to sprint planning, peer reviews and continuous improvement initiativesEssential Skills for the AWS Data Engineer:Extensive hands-on experience with AWS data services Strong programming skills in Python Solid understanding of data modelling, warehousing and architecture design within cloud environmentsExperience building and managing ETL/ELT workflows and data pipelines at scaleProficiency with SQL and working knowledge of relational and non-relational databasesExperience deploying data infrastructure using IaC tools such as Terraform or CloudFormationUnderstanding of DevOps and CI/CD pipelines for data engineering solutionsStrong problem-solving skills, with an ability to work both independently and collaboratively within multi-disciplinary teamsDesirable Skills for the AWS Data Engineer:Experience with Databricks, Kafka, or Kinesis for real-time data streamingKnowledge of containerisation (Docker, ECS) and modern orchestration tools such as AirflowFamiliarity with machine learning model deployment pipelines or data lakehouse architecturesData Engineer, AWS Data Engineer

Senior Data EngineerRate - up to £450/day Outside IR35Location - 2 days a week onsite in Central LondonDuration - 6 Months + Likely ExtensionWe are working with a well-established consultancy supporting a high-impact data transformation programme for an end client based in Central London. They are seeking an experienced Senior Data Engineer to join the project on an initial 6-month contract, with strong potential for extension. This role is Outside IR35 and offers £450/day, requiring 2 days onsite per week in Central London.Key Responsibilities - Senior Data Engineer:Design, build and maintain scalable and secure data pipelines on the Azure platform.Develop and deploy data ingestion processes using Azure Data Factory, Databricks (PySpark), and Azure Synapse Analytics.Optimise ETL/ELT processes to improve performance, reliability and efficiency.Integrate multiple data sources including Azure Data Lake (Gen2), SQL-based systems and APIs.Collaborate with Data Architects, Analysts, and stakeholders to define data models and ensure best practices in data engineering.Ensure compliance with data governance and security policies (incl. GDPR and ISO standards).Required Skills & Experience - Senior Data Engineer:Proven commercial experience as a Data Engineer delivering enterprise-scale solutions in AzureAzure Data FactoryAzure Databricks (PySpark)SQL & PythonUnderstanding of CI/CD in a data environment, ideally with tools like Azure DevOps.Experience working within consultancy or client-facing projects is highly desirable.Interested? Apply now with your CV or reach out to discuss the opportunity further. This is a highly sought-after role for a consultant who wants to contribute to a major Azure-led data transformation programme. Data Engineer, Azure Data Engineer, Senior Data Engineer

AI/ Machine Learning Engineer (NLP / LLM) - ContractDuration: 6 monthsRate: Up to £500 per dayIR35: OutsideLocation: Fully Remote (occasional ad-hoc travel to office)The Role:A leading Regulatory Tech company is seeking a Contract Machine Learning Engineer / Data Scientist to support the development of next-generation AI solutions.This is an exciting opportunity to play a key role in designing and training Large Language Models (LLMs) from the ground up, and to contribute to the creation of an intelligent AI-powered chatbot that transforms the way information and insights are delivered.You'll work closely with the client's in-house data and engineering teams to design, train, and fine-tune transformer-based models for complex natural language processing tasks, ensuring accuracy, efficiency, and scalability.Experience Requirements:Proven experience in Natural Language Processing (NLP) and Large Language Models (LLMs), including training LLMs from scratch.Strong understanding of deep learning principles and experience working with transformer-based architectures (e.g., GPT, BERT, T5).Solid background in data science and machine learning, including model development, training, evaluation, and deployment.Experience building and deploying chatbots or conversational AI systems.Knowledge of MLOps tools and pipelines for model versioning and deployment.If you are available and interested in a 6-month Outside IR35 contract, please apply in the first instance and you will be contacted to discuss the position further.

Senior Research Advisor Contract Length: Until 31 March 2026 + Extension Location: Newport - adhoc Hourly rate: £30 per hour Inside IR35 Working hours: 37 hours per weekA leading public sector programme is seeking a Senior Research Advisor to support the development of new statistical approaches that measure the physical state and long-term sustainability of UK natural resources. The Senior Research Advisor position is a significant opportunity to contribute to nationally important environmental and economic research, helping shape how these resources are assessed and understood over the coming years. The role of Senior Research Advisor is suited to a researcher with strong analytical capability, excellent stakeholder engagement skills, and the ability to deliver structured, well-evidenced reports within defined timelines. A background in environmental sciences, natural resource management or a quantitative discipline is advantageous. Senior Research Advisor - Responsibilities:The core project focus will be in relation to timber and fish stockLead research into data availability, methodologies and evidence relating to physical stocks, regeneration rates and consumption levels of key natural resources in the UKConduct literature reviews, analyse previous studies and identify gaps, uncertainties and opportunities for improved measurementEngage with government departments, agencies and external organisations to understand existing datasets, limitations and potential avenues for further data developmentProduce clear, structured reports outlining viable strategies, methodologies and data pathways for future measurement workWork collaboratively with internal colleagues to ensure research outputs align with wider programme objectives and national accounting frameworksSupport the development of long-term approaches for resource stock estimation, ensuring methods are robust, transparent and scalableContribute to continuous improvement of research processes, identifying ways to accelerate delivery and strengthen evidence qualitySenior Research Advisor - Skills & Experience RequiredStrong stakeholder engagement skills with the ability to build relationships across government departments, agencies and external bodiesExperience in desk research, literature reviews and scoping studies, ideally within environmental, natural sciences or quantitative research domainsAbility to evaluate data sources, understand methodological limitations and propose evidence-based approachesStrong analytical capability with the confidence to work independently and deliver structured documentation on tight timelinesBackground or interest in natural capital, environmental economics, forestry, fisheries, or related fields is highly desirableKnowledge of international guidance or frameworks for environmental accounting is beneficialPython skills are an advantage, enabling exploration of data manipulation approaches if time allowsSC clearance is advantageousIf you are an experienced researcher with strong analytical skills and an interest in natural resource measurement, and you are looking for an opportunity to contribute to vital national research, please apply in the immediate instance.Senior Research Advisor, Research Advisor

AWS Data Engineer Rate: Up to £400 per day (Outside IR35) Contract Length: 6 Months (with strong potential for extension) Location: Hybrid - 1 day per week onsite in Central London A leading organisation is seeking an experienced AWS Data Engineer to join their data and analytics team, contributing to the design, development and optimisation of large-scale data solutions within a modern cloud environment. This contract offers the opportunity to work on high-impact projects, delivering data platforms and pipelines that drive real-time insights and strategic business decisions.Responsibilities for the AWS Data Engineer:Design, build and maintain scalable data pipelines and architectures within the AWS ecosystemLeverage services such as AWS Glue, Lambda, Redshift, EMR and S3 to support data ingestion, transformation and storageWork closely with data analysts, architects and business stakeholders to translate requirements into robust technical solutionsImplement and optimise ETL/ELT processes, ensuring data integrity, consistency and quality across multiple sourcesApply best practices in data modelling, version control, and CI/CD to deliver maintainable and reusable codeMonitor data performance and reliability, proactively identifying opportunities to enhance efficiency and scalabilitySupport the integration of data from diverse systems, including APIs and third-party platforms, into a unified architectureEnsure compliance with data governance, privacy and security policies throughout all stages of developmentCollaborate in an Agile environment, contributing to sprint planning, peer reviews and continuous improvement initiativesEssential Skills for the AWS Data Engineer:Extensive hands-on experience with AWS data services Strong programming skills in Python (including libraries such as PySpark or Pandas)Solid understanding of data modelling, warehousing and architecture design within cloud environmentsExperience building and managing ETL/ELT workflows and data pipelines at scaleProficiency with SQL and working knowledge of relational and non-relational databasesExperience deploying data infrastructure using IaC tools such as Terraform or CloudFormationUnderstanding of DevOps and CI/CD pipelines for data engineering solutionsStrong problem-solving skills, with an ability to work both independently and collaboratively within multi-disciplinary teamsDesirable Skills for the AWS Data Engineer:Experience with Databricks, Kafka, or Kinesis for real-time data streamingKnowledge of containerisation (Docker, ECS) and modern orchestration tools such as AirflowFamiliarity with machine learning model deployment pipelines or data lakehouse architecturesData Engineer, AWS Data Engineer

Senior Data EngineerRate: up to £450/day Outside IR35Contract Length: 6 Months (with likely extension)Location: Hybrid - 1 day per week onsite in Central LondonWorking hours: 9am - 5pm - Monday - FridayAn established international organisation is seeking a Senior Data Engineer to join their growing Data & Middleware function, driving innovation and excellence across complex data ecosystems. This is a fantastic opportunity to shape the future of a large-scale data transformation programme, working on high-impact projects that enable data-driven decision-making.Responsibilities for the Senior Data Engineer:Design, build, and maintain scalable data pipelines and architectures, ensuring reliability, performance, and best-in-class engineering standardsLeverage Databricks, Spark, and modern cloud platforms (Azure/AWS) to deliver clean, high-quality data for analytics and operational insightsLead by example on engineering excellence, mentoring junior engineers and driving adoption of DevOps and CI/CD best practices within the data functionContribute to the evolution of a modern event-sourcing architecture, enabling efficient data modelling, streaming, and transformation across platformsCollaborate with cross-functional teams - including Business Analysts, Product Owners, and fellow Senior Data Engineers - to translate business needs into robust technical solutionsChampion data governance, privacy, and security best practices, ensuring compliance and protection of customer dataContinuously improve existing systems, introducing new technologies and methodologies that enhance efficiency, scalability, and cost optimisationEssential Skills for the Senior Data Engineer:Proficient with Databricks and Apache Spark, including performance tuning and advanced concepts such as Delta Lake and streamingStrong programming skills in Python with experience in software engineering principles, version control, unit testing and CI/CD pipelinesAdvanced knowledge of SQL and data modelling (dimensional modelling, fact/dimension structures, slowly changing dimensions)Managing and querying data lakes or Lakehouse'sExcellent communication skills with the ability to explain complex technical concepts clearly and persuasivelyDesirable Skills for the Senior Data Engineer:Experience with event sourcing, dbt, or related data transformation toolsFamiliarity with PostgreSQL and cloud-native data services (Azure Event Hub, Redshift, Kinesis, S3, Blob Storage, OneLake, or Microsoft Fabric)Understanding of machine learning model enablement and operationalisation within data architecturesExperience working within Agile delivery environmentsIf you are an experienced Senior Data Engineer with strong expertise in Databricks, Azure, and data architecture design, looking for a hands-on role where you can influence technical direction and drive meaningful change, please apply in the immediate instance. Data Engineer, Senior Data Engineer

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.

Azure Data EngineerRate - up to £350/day Outside IR35Location - 2 days a week onsite in Central LondonDuration - 6 Months + Likely ExtensionWe are working with a well-established consultancy supporting a high-impact data transformation programme for an end client based in Central London. They are seeking an experienced Azure Data Engineer to join the project on an initial 6-month contract, with strong potential for extension. Key Responsibilities - Azure Data Engineer:Design, build and maintain scalable and secure data pipelines on the Azure platform.Develop and deploy data ingestion processes using Azure Data Factory, Databricks (PySpark), and Azure Synapse Analytics.Optimise ETL/ELT processes to improve performance, reliability and efficiency.Integrate multiple data sources including Azure Data Lake (Gen2), SQL-based systems and APIs.Collaborate with Data Architects, Analysts, and stakeholders to define data models and ensure best practices in data engineering.Ensure compliance with data governance and security policies (incl. GDPR and ISO standards).Required Skills & Experience - Azure Data Engineer:Proven commercial experience as a Data Engineer delivering enterprise-scale solutions in AzureAzure Data FactoryAzure Databricks (PySpark)SQL & PythonUnderstanding of CI/CD in a data environment, ideally with tools like Azure DevOps.Experience working within consultancy or client-facing projects is highly desirable.Interested? Apply now with your CV or reach out to discuss the opportunity further. This is a highly sought-after role for a consultant who wants to contribute to a major Azure-led data transformation programme. Data Engineer, Azure Data Engineer, Senior Data Engineer

AWS Data Engineer Rate: Up to £325 per day (Outside IR35) Contract Length: 6 Months (with strong potential for extension) Location: Hybrid - 1 day per week onsite in Central London A leading organisation is seeking an experienced AWS Data Engineer to join their data and analytics team, contributing to the design, development and optimisation of large-scale data solutions within a modern cloud environment. This contract offers the opportunity to work on high-impact projects, delivering data platforms and pipelines that drive real-time insights and strategic business decisions.Responsibilities for the AWS Data Engineer:Design, build and maintain scalable data pipelines and architectures within the AWS ecosystemLeverage services such as AWS Glue, Lambda, Redshift, EMR and S3 to support data ingestion, transformation and storageWork closely with data analysts, architects and business stakeholders to translate requirements into robust technical solutionsImplement and optimise ETL/ELT processes, ensuring data integrity, consistency and quality across multiple sourcesApply best practices in data modelling, version control, and CI/CD to deliver maintainable and reusable codeMonitor data performance and reliability, proactively identifying opportunities to enhance efficiency and scalabilitySupport the integration of data from diverse systems, including APIs and third-party platforms, into a unified architectureEnsure compliance with data governance, privacy and security policies throughout all stages of developmentCollaborate in an Agile environment, contributing to sprint planning, peer reviews and continuous improvement initiativesEssential Skills for the AWS Data Engineer:Extensive hands-on experience with AWS data services Strong programming skills in Python Solid understanding of data modelling, warehousing and architecture design within cloud environmentsExperience building and managing ETL/ELT workflows and data pipelines at scaleProficiency with SQL and working knowledge of relational and non-relational databasesExperience deploying data infrastructure using IaC tools such as Terraform or CloudFormationUnderstanding of DevOps and CI/CD pipelines for data engineering solutionsStrong problem-solving skills, with an ability to work both independently and collaboratively within multi-disciplinary teamsDesirable Skills for the AWS Data Engineer:Experience with Databricks, Kafka, or Kinesis for real-time data streamingKnowledge of containerisation (Docker, ECS) and modern orchestration tools such as AirflowFamiliarity with machine learning model deployment pipelines or data lakehouse architecturesData Engineer, AWS Data Engineer

Senior Data EngineerRate - up to £450/day Outside IR35Location - 2 days a week onsite in Central LondonDuration - 6 Months + Likely ExtensionWe are working with a well-established consultancy supporting a high-impact data transformation programme for an end client based in Central London. They are seeking an experienced Senior Data Engineer to join the project on an initial 6-month contract, with strong potential for extension. This role is Outside IR35 and offers £450/day, requiring 2 days onsite per week in Central London.Key Responsibilities - Senior Data Engineer:Design, build and maintain scalable and secure data pipelines on the Azure platform.Develop and deploy data ingestion processes using Azure Data Factory, Databricks (PySpark), and Azure Synapse Analytics.Optimise ETL/ELT processes to improve performance, reliability and efficiency.Integrate multiple data sources including Azure Data Lake (Gen2), SQL-based systems and APIs.Collaborate with Data Architects, Analysts, and stakeholders to define data models and ensure best practices in data engineering.Ensure compliance with data governance and security policies (incl. GDPR and ISO standards).Required Skills & Experience - Senior Data Engineer:Proven commercial experience as a Data Engineer delivering enterprise-scale solutions in AzureAzure Data FactoryAzure Databricks (PySpark)SQL & PythonUnderstanding of CI/CD in a data environment, ideally with tools like Azure DevOps.Experience working within consultancy or client-facing projects is highly desirable.Interested? Apply now with your CV or reach out to discuss the opportunity further. This is a highly sought-after role for a consultant who wants to contribute to a major Azure-led data transformation programme. Data Engineer, Azure Data Engineer, Senior Data Engineer

AI/ Machine Learning Engineer (NLP / LLM) - ContractDuration: 6 monthsRate: Up to £500 per dayIR35: OutsideLocation: Fully Remote (occasional ad-hoc travel to office)The Role:A leading Regulatory Tech company is seeking a Contract Machine Learning Engineer / Data Scientist to support the development of next-generation AI solutions.This is an exciting opportunity to play a key role in designing and training Large Language Models (LLMs) from the ground up, and to contribute to the creation of an intelligent AI-powered chatbot that transforms the way information and insights are delivered.You'll work closely with the client's in-house data and engineering teams to design, train, and fine-tune transformer-based models for complex natural language processing tasks, ensuring accuracy, efficiency, and scalability.Experience Requirements:Proven experience in Natural Language Processing (NLP) and Large Language Models (LLMs), including training LLMs from scratch.Strong understanding of deep learning principles and experience working with transformer-based architectures (e.g., GPT, BERT, T5).Solid background in data science and machine learning, including model development, training, evaluation, and deployment.Experience building and deploying chatbots or conversational AI systems.Knowledge of MLOps tools and pipelines for model versioning and deployment.If you are available and interested in a 6-month Outside IR35 contract, please apply in the first instance and you will be contacted to discuss the position further.

Senior Research Advisor Contract Length: Until 31 March 2026 + Extension Location: Newport - adhoc Hourly rate: £30 per hour Inside IR35 Working hours: 37 hours per weekA leading public sector programme is seeking a Senior Research Advisor to support the development of new statistical approaches that measure the physical state and long-term sustainability of UK natural resources. The Senior Research Advisor position is a significant opportunity to contribute to nationally important environmental and economic research, helping shape how these resources are assessed and understood over the coming years. The role of Senior Research Advisor is suited to a researcher with strong analytical capability, excellent stakeholder engagement skills, and the ability to deliver structured, well-evidenced reports within defined timelines. A background in environmental sciences, natural resource management or a quantitative discipline is advantageous. Senior Research Advisor - Responsibilities:The core project focus will be in relation to timber and fish stockLead research into data availability, methodologies and evidence relating to physical stocks, regeneration rates and consumption levels of key natural resources in the UKConduct literature reviews, analyse previous studies and identify gaps, uncertainties and opportunities for improved measurementEngage with government departments, agencies and external organisations to understand existing datasets, limitations and potential avenues for further data developmentProduce clear, structured reports outlining viable strategies, methodologies and data pathways for future measurement workWork collaboratively with internal colleagues to ensure research outputs align with wider programme objectives and national accounting frameworksSupport the development of long-term approaches for resource stock estimation, ensuring methods are robust, transparent and scalableContribute to continuous improvement of research processes, identifying ways to accelerate delivery and strengthen evidence qualitySenior Research Advisor - Skills & Experience RequiredStrong stakeholder engagement skills with the ability to build relationships across government departments, agencies and external bodiesExperience in desk research, literature reviews and scoping studies, ideally within environmental, natural sciences or quantitative research domainsAbility to evaluate data sources, understand methodological limitations and propose evidence-based approachesStrong analytical capability with the confidence to work independently and deliver structured documentation on tight timelinesBackground or interest in natural capital, environmental economics, forestry, fisheries, or related fields is highly desirableKnowledge of international guidance or frameworks for environmental accounting is beneficialPython skills are an advantage, enabling exploration of data manipulation approaches if time allowsSC clearance is advantageousIf you are an experienced researcher with strong analytical skills and an interest in natural resource measurement, and you are looking for an opportunity to contribute to vital national research, please apply in the immediate instance.Senior Research Advisor, Research Advisor

AWS Data Engineer Rate: Up to £400 per day (Outside IR35) Contract Length: 6 Months (with strong potential for extension) Location: Hybrid - 1 day per week onsite in Central London A leading organisation is seeking an experienced AWS Data Engineer to join their data and analytics team, contributing to the design, development and optimisation of large-scale data solutions within a modern cloud environment. This contract offers the opportunity to work on high-impact projects, delivering data platforms and pipelines that drive real-time insights and strategic business decisions.Responsibilities for the AWS Data Engineer:Design, build and maintain scalable data pipelines and architectures within the AWS ecosystemLeverage services such as AWS Glue, Lambda, Redshift, EMR and S3 to support data ingestion, transformation and storageWork closely with data analysts, architects and business stakeholders to translate requirements into robust technical solutionsImplement and optimise ETL/ELT processes, ensuring data integrity, consistency and quality across multiple sourcesApply best practices in data modelling, version control, and CI/CD to deliver maintainable and reusable codeMonitor data performance and reliability, proactively identifying opportunities to enhance efficiency and scalabilitySupport the integration of data from diverse systems, including APIs and third-party platforms, into a unified architectureEnsure compliance with data governance, privacy and security policies throughout all stages of developmentCollaborate in an Agile environment, contributing to sprint planning, peer reviews and continuous improvement initiativesEssential Skills for the AWS Data Engineer:Extensive hands-on experience with AWS data services Strong programming skills in Python (including libraries such as PySpark or Pandas)Solid understanding of data modelling, warehousing and architecture design within cloud environmentsExperience building and managing ETL/ELT workflows and data pipelines at scaleProficiency with SQL and working knowledge of relational and non-relational databasesExperience deploying data infrastructure using IaC tools such as Terraform or CloudFormationUnderstanding of DevOps and CI/CD pipelines for data engineering solutionsStrong problem-solving skills, with an ability to work both independently and collaboratively within multi-disciplinary teamsDesirable Skills for the AWS Data Engineer:Experience with Databricks, Kafka, or Kinesis for real-time data streamingKnowledge of containerisation (Docker, ECS) and modern orchestration tools such as AirflowFamiliarity with machine learning model deployment pipelines or data lakehouse architecturesData Engineer, AWS Data Engineer

Senior Data EngineerRate: up to £450/day Outside IR35Contract Length: 6 Months (with likely extension)Location: Hybrid - 1 day per week onsite in Central LondonWorking hours: 9am - 5pm - Monday - FridayAn established international organisation is seeking a Senior Data Engineer to join their growing Data & Middleware function, driving innovation and excellence across complex data ecosystems. This is a fantastic opportunity to shape the future of a large-scale data transformation programme, working on high-impact projects that enable data-driven decision-making.Responsibilities for the Senior Data Engineer:Design, build, and maintain scalable data pipelines and architectures, ensuring reliability, performance, and best-in-class engineering standardsLeverage Databricks, Spark, and modern cloud platforms (Azure/AWS) to deliver clean, high-quality data for analytics and operational insightsLead by example on engineering excellence, mentoring junior engineers and driving adoption of DevOps and CI/CD best practices within the data functionContribute to the evolution of a modern event-sourcing architecture, enabling efficient data modelling, streaming, and transformation across platformsCollaborate with cross-functional teams - including Business Analysts, Product Owners, and fellow Senior Data Engineers - to translate business needs into robust technical solutionsChampion data governance, privacy, and security best practices, ensuring compliance and protection of customer dataContinuously improve existing systems, introducing new technologies and methodologies that enhance efficiency, scalability, and cost optimisationEssential Skills for the Senior Data Engineer:Proficient with Databricks and Apache Spark, including performance tuning and advanced concepts such as Delta Lake and streamingStrong programming skills in Python with experience in software engineering principles, version control, unit testing and CI/CD pipelinesAdvanced knowledge of SQL and data modelling (dimensional modelling, fact/dimension structures, slowly changing dimensions)Managing and querying data lakes or Lakehouse'sExcellent communication skills with the ability to explain complex technical concepts clearly and persuasivelyDesirable Skills for the Senior Data Engineer:Experience with event sourcing, dbt, or related data transformation toolsFamiliarity with PostgreSQL and cloud-native data services (Azure Event Hub, Redshift, Kinesis, S3, Blob Storage, OneLake, or Microsoft Fabric)Understanding of machine learning model enablement and operationalisation within data architecturesExperience working within Agile delivery environmentsIf you are an experienced Senior Data Engineer with strong expertise in Databricks, Azure, and data architecture design, looking for a hands-on role where you can influence technical direction and drive meaningful change, please apply in the immediate instance. Data Engineer, Senior Data Engineer