Lead Data Engineer - AWS - AI & Machine Learning - Fully Remote (UK) - Up to £110,000 Are you a Senior Data Engineer ready to take ownership of an entire data platform rather than simply contributing to one? We're partnering with a rapidly growing technology business that develops innovative data-driven products for global enterprise clients. As part of significant investment in Data, Analytics and AI, they're looking for a Lead Data Engineer to take ownership of their cloud-based data platform and help shape the future direction of the company's analytics, machine learning and AI capabilities. This is a unique opportunity to join at a pivotal stage of growth. Initially, you'll operate as a highly influential senior individual contributor with end-to-end ownership of the data function. As the business continues to scale, you'll have the opportunity to build and lead a dedicated Data Engineering team. Why Join? Take ownership of the company's data platform and technical direction. Play a key role in the company's Data, Analytics and AI strategy. Work closely with Product, Engineering, Data Science and Leadership teams. Join a high-growth technology business at an exciting stage of expansion. Build and lead a future Data Engineering function. Enjoy a fully remote role with genuine flexibility and autonomy. Technology Environment You'll work across a modern cloud-based data ecosystem, including: AWS Python SQL Data Warehousing Data Lakes ETL/ELT Pipelines APIs & Data Services Analytics Engineering Machine Learning Infrastructure AI & Machine Learning Systems Data Governance & Observability Cloud-Native Architecture The Role As Lead Data Engineer, you'll be responsible for: Designing, building and maintaining scalable cloud-based data platforms. Developing robust ETL/ELT pipelines and data services. Creating trusted analytical datasets to support reporting, business intelligence and advanced analytics. Building APIs and data products used by enterprise clients. Supporting Machine Learning and AI initiatives through high-quality data engineering and architecture. Establishing data governance, quality, lineage and observability standards across the organisation. Collaborating with technical and business stakeholders to deliver data-driven solutions. Influencing the long-term data architecture, tooling and operating model of the business. Essential Experience We're looking for someone with: Strong experience designing, building and operating production-grade data platforms. Advanced SQL and data modelling expertise. Hands-on AWS experience within modern cloud environments. Experience developing scalable ETL/ELT pipelines and data integration solutions. Experience working with large, complex datasets. Strong stakeholder management and communication skills. A track record of influencing technical direction and driving best practice. Desirable Experience Any of the following would be advantageous: Experience supporting Machine Learning or AI workloads. Exposure to MLOps, Agentic AI or AI-powered products. Experience with Power BI, Tableau, Looker or similar BI tools. Knowledge of data governance, security, lineage and observability frameworks. Experience working within fast-growth technology businesses or SaaS environments. Benefits Fully Remote Working (UK) Private Medical Insurance Annual Team Bonus Scheme Long-Term Incentive Opportunities High Levels of Ownership and Autonomy Clear Progression Path into Data Leadership Opportunity to Build and Lead a Data Engineering Function Interested? Apply now to learn more about this opportunity to shape and lead the future of Data, Analytics and AI within a growing technology business.
Nov 01, 2026
Full time
Lead Data Engineer - AWS - AI & Machine Learning - Fully Remote (UK) - Up to £110,000 Are you a Senior Data Engineer ready to take ownership of an entire data platform rather than simply contributing to one? We're partnering with a rapidly growing technology business that develops innovative data-driven products for global enterprise clients. As part of significant investment in Data, Analytics and AI, they're looking for a Lead Data Engineer to take ownership of their cloud-based data platform and help shape the future direction of the company's analytics, machine learning and AI capabilities. This is a unique opportunity to join at a pivotal stage of growth. Initially, you'll operate as a highly influential senior individual contributor with end-to-end ownership of the data function. As the business continues to scale, you'll have the opportunity to build and lead a dedicated Data Engineering team. Why Join? Take ownership of the company's data platform and technical direction. Play a key role in the company's Data, Analytics and AI strategy. Work closely with Product, Engineering, Data Science and Leadership teams. Join a high-growth technology business at an exciting stage of expansion. Build and lead a future Data Engineering function. Enjoy a fully remote role with genuine flexibility and autonomy. Technology Environment You'll work across a modern cloud-based data ecosystem, including: AWS Python SQL Data Warehousing Data Lakes ETL/ELT Pipelines APIs & Data Services Analytics Engineering Machine Learning Infrastructure AI & Machine Learning Systems Data Governance & Observability Cloud-Native Architecture The Role As Lead Data Engineer, you'll be responsible for: Designing, building and maintaining scalable cloud-based data platforms. Developing robust ETL/ELT pipelines and data services. Creating trusted analytical datasets to support reporting, business intelligence and advanced analytics. Building APIs and data products used by enterprise clients. Supporting Machine Learning and AI initiatives through high-quality data engineering and architecture. Establishing data governance, quality, lineage and observability standards across the organisation. Collaborating with technical and business stakeholders to deliver data-driven solutions. Influencing the long-term data architecture, tooling and operating model of the business. Essential Experience We're looking for someone with: Strong experience designing, building and operating production-grade data platforms. Advanced SQL and data modelling expertise. Hands-on AWS experience within modern cloud environments. Experience developing scalable ETL/ELT pipelines and data integration solutions. Experience working with large, complex datasets. Strong stakeholder management and communication skills. A track record of influencing technical direction and driving best practice. Desirable Experience Any of the following would be advantageous: Experience supporting Machine Learning or AI workloads. Exposure to MLOps, Agentic AI or AI-powered products. Experience with Power BI, Tableau, Looker or similar BI tools. Knowledge of data governance, security, lineage and observability frameworks. Experience working within fast-growth technology businesses or SaaS environments. Benefits Fully Remote Working (UK) Private Medical Insurance Annual Team Bonus Scheme Long-Term Incentive Opportunities High Levels of Ownership and Autonomy Clear Progression Path into Data Leadership Opportunity to Build and Lead a Data Engineering Function Interested? Apply now to learn more about this opportunity to shape and lead the future of Data, Analytics and AI within a growing technology business.
Lead Data Engineer Remote UK - £110,000 + Share Options + Private Medical Insurance A high-growth, venture-backed AI technology company is looking for a Lead Data Engineer to play a pivotal role in shaping the future of its data, analytics and AI capabilities. This is an opportunity to join an innovative organisation delivering cutting-edge AI-powered solutions to major enterprise clients, helping transform complex data into meaningful business intelligence. The Opportunity This is a senior, hands-on position offering significant technical ownership and influence. Working closely with product, engineering, data science and leadership teams, you'll design and build scalable data platforms that power advanced analytics, machine learning, decision intelligence and emerging AI technologies. As the business continues to grow, there will be the opportunity to help build and lead a wider data function. Key Responsibilities Design, build and maintain scalable data platforms and pipelines. Develop Data-as-a-Service capabilities across products and customer solutions. Create trusted analytics, reporting and business intelligence solutions. Design and manage secure, reliable data services and APIs. Build data infrastructure supporting machine learning, statistical models and AI systems. Establish best practices for data quality, governance, lineage, metadata and observability. Embed security, privacy and compliance into data architecture and engineering processes. Collaborate across technical and commercial teams to influence data strategy and architecture. Required Experience Strong hands-on experience building and operating production-grade data platforms. Expertise in data architecture, ETL/ELT pipelines, data modelling and orchestration. Experience working with large-scale or complex datasets. Background delivering analytics and business intelligence solutions. Experience designing secure data services and APIs. Knowledge of machine learning data foundations and modern AI-enablement practices. Strong understanding of statistics, experimentation and data-driven decision making. Experience working within enterprise or highly regulated environments. Passion for engineering excellence, security, quality and continuous improvement. AWS data and analytics ecosystem What's on Offer? Salary of £110,000. Share options. Private medical insurance. Fully remote UK-based working. High levels of autonomy and technical ownership. Opportunity to shape the future direction of data and AI within a rapidly scaling technology business. Clear progression into leadership as the organisation grows. Eligibility Applicants must be based in the UK, have the right to work in the UK, have continuously resided in the UK for the previous five years and be able to complete relevant pre-employment screening.
Nov 01, 2026
Full time
Lead Data Engineer Remote UK - £110,000 + Share Options + Private Medical Insurance A high-growth, venture-backed AI technology company is looking for a Lead Data Engineer to play a pivotal role in shaping the future of its data, analytics and AI capabilities. This is an opportunity to join an innovative organisation delivering cutting-edge AI-powered solutions to major enterprise clients, helping transform complex data into meaningful business intelligence. The Opportunity This is a senior, hands-on position offering significant technical ownership and influence. Working closely with product, engineering, data science and leadership teams, you'll design and build scalable data platforms that power advanced analytics, machine learning, decision intelligence and emerging AI technologies. As the business continues to grow, there will be the opportunity to help build and lead a wider data function. Key Responsibilities Design, build and maintain scalable data platforms and pipelines. Develop Data-as-a-Service capabilities across products and customer solutions. Create trusted analytics, reporting and business intelligence solutions. Design and manage secure, reliable data services and APIs. Build data infrastructure supporting machine learning, statistical models and AI systems. Establish best practices for data quality, governance, lineage, metadata and observability. Embed security, privacy and compliance into data architecture and engineering processes. Collaborate across technical and commercial teams to influence data strategy and architecture. Required Experience Strong hands-on experience building and operating production-grade data platforms. Expertise in data architecture, ETL/ELT pipelines, data modelling and orchestration. Experience working with large-scale or complex datasets. Background delivering analytics and business intelligence solutions. Experience designing secure data services and APIs. Knowledge of machine learning data foundations and modern AI-enablement practices. Strong understanding of statistics, experimentation and data-driven decision making. Experience working within enterprise or highly regulated environments. Passion for engineering excellence, security, quality and continuous improvement. AWS data and analytics ecosystem What's on Offer? Salary of £110,000. Share options. Private medical insurance. Fully remote UK-based working. High levels of autonomy and technical ownership. Opportunity to shape the future direction of data and AI within a rapidly scaling technology business. Clear progression into leadership as the organisation grows. Eligibility Applicants must be based in the UK, have the right to work in the UK, have continuously resided in the UK for the previous five years and be able to complete relevant pre-employment screening.
Data Governance Analyst (Microsoft Purview & Fabric) Contract: 6 Months Location: London (2-3 days per week onsite) Rate: £450/day Inside IR35 Overview We are seeking an experienced Data Governance Analyst to support the enhancement and governance of a modern Azure-based data platform. This role will play a key part in establishing and strengthening enterprise data governance capabilities, driving adoption of Microsoft Purview, and supporting the evolution of a scalable, well-governed data ecosystem built on Microsoft Azure and Fabric technologies. The successful candidate will combine strong governance expertise with technical knowledge of the Azure data platform, working closely with business stakeholders, architects, engineers, and data owners to improve data quality, visibility, compliance, and operational effectiveness. Key Responsibilities Data Governance & Compliance Support the implementation and ongoing enhancement of enterprise data governance frameworks. Configure and manage Microsoft Purview, including: Data Catalog Data Lineage Metadata Management Data Discovery Data Classification Establish and maintain data governance policies, standards, and controls. Drive improvements in data quality, ownership, stewardship, and accountability across the organisation. Support regulatory and compliance requirements through effective governance processes. Data Platform & Architecture Collaborate with technical teams to design and implement scalable governance solutions across Azure and Microsoft Fabric. Define and document end-to-end data flows, lineage, and integration patterns. Develop reusable semantic data models that support reporting and analytics requirements. Support the implementation of sustainable, scalable, and maintainable data solutions. Contribute to the definition of enterprise data architecture standards and best practices. Data Engineering & Platform Optimisation Support the development and optimisation of ETL/ELT pipelines following Medallion Architecture principles. Analyse and resolve existing platform issues identified through technical assessments and architecture reviews. Improve platform performance, scalability, reliability, and operational efficiency. Support real-time and streaming data initiatives where required. Stakeholder Engagement Work closely with business and technology stakeholders to understand governance requirements. Provide guidance and support on data governance best practices. Facilitate the transition of developed solutions into Business-as-Usual (BAU) support teams. Promote a data-driven culture and encourage adoption of governance processes throughout the organisation. Required Skills & Experience 5+ years' experience within Data Governance, Data Management, or Data Platform environments. Minimum 3 years' hands-on experience implementing and managing Microsoft Purview. Strong understanding of: Data Governance Data Lineage Metadata Management Data Cataloguing Data Quality Frameworks Data Stewardship Experience across the Microsoft Azure Data Platform, including: Azure SQL Azure Data Lake Azure Synapse Analytics Microsoft Fabric Knowledge of semantic data modelling and enterprise data architecture principles. Experience working with ETL/ELT processes and modern data platforms. Strong stakeholder management and communication skills. Ability to work independently in a fast-paced delivery environment. Desirable Skills Experience with real-time data processing and streaming technologies. Knowledge of Medallion Architecture. Azure Data Engineering experience. SQL development and performance tuning. Experience delivering governance initiatives in large or complex organisations. Microsoft certifications across Azure, Fabric, or Purview.
Nov 01, 2026
Full time
Data Governance Analyst (Microsoft Purview & Fabric) Contract: 6 Months Location: London (2-3 days per week onsite) Rate: £450/day Inside IR35 Overview We are seeking an experienced Data Governance Analyst to support the enhancement and governance of a modern Azure-based data platform. This role will play a key part in establishing and strengthening enterprise data governance capabilities, driving adoption of Microsoft Purview, and supporting the evolution of a scalable, well-governed data ecosystem built on Microsoft Azure and Fabric technologies. The successful candidate will combine strong governance expertise with technical knowledge of the Azure data platform, working closely with business stakeholders, architects, engineers, and data owners to improve data quality, visibility, compliance, and operational effectiveness. Key Responsibilities Data Governance & Compliance Support the implementation and ongoing enhancement of enterprise data governance frameworks. Configure and manage Microsoft Purview, including: Data Catalog Data Lineage Metadata Management Data Discovery Data Classification Establish and maintain data governance policies, standards, and controls. Drive improvements in data quality, ownership, stewardship, and accountability across the organisation. Support regulatory and compliance requirements through effective governance processes. Data Platform & Architecture Collaborate with technical teams to design and implement scalable governance solutions across Azure and Microsoft Fabric. Define and document end-to-end data flows, lineage, and integration patterns. Develop reusable semantic data models that support reporting and analytics requirements. Support the implementation of sustainable, scalable, and maintainable data solutions. Contribute to the definition of enterprise data architecture standards and best practices. Data Engineering & Platform Optimisation Support the development and optimisation of ETL/ELT pipelines following Medallion Architecture principles. Analyse and resolve existing platform issues identified through technical assessments and architecture reviews. Improve platform performance, scalability, reliability, and operational efficiency. Support real-time and streaming data initiatives where required. Stakeholder Engagement Work closely with business and technology stakeholders to understand governance requirements. Provide guidance and support on data governance best practices. Facilitate the transition of developed solutions into Business-as-Usual (BAU) support teams. Promote a data-driven culture and encourage adoption of governance processes throughout the organisation. Required Skills & Experience 5+ years' experience within Data Governance, Data Management, or Data Platform environments. Minimum 3 years' hands-on experience implementing and managing Microsoft Purview. Strong understanding of: Data Governance Data Lineage Metadata Management Data Cataloguing Data Quality Frameworks Data Stewardship Experience across the Microsoft Azure Data Platform, including: Azure SQL Azure Data Lake Azure Synapse Analytics Microsoft Fabric Knowledge of semantic data modelling and enterprise data architecture principles. Experience working with ETL/ELT processes and modern data platforms. Strong stakeholder management and communication skills. Ability to work independently in a fast-paced delivery environment. Desirable Skills Experience with real-time data processing and streaming technologies. Knowledge of Medallion Architecture. Azure Data Engineering experience. SQL development and performance tuning. Experience delivering governance initiatives in large or complex organisations. Microsoft certifications across Azure, Fabric, or Purview.
Lead Data Engineer Remote UK - £110,000 + Share Options + Private Medical Insurance A high-growth, venture-backed AI technology company is looking for a Lead Data Engineer to play a pivotal role in shaping the future of its data, analytics and AI capabilities. This is an opportunity to join an innovative organisation delivering cutting-edge AI-powered solutions to major enterprise clients, helping transform complex data into meaningful business intelligence. The Opportunity This is a senior, hands-on position offering significant technical ownership and influence. Working closely with product, engineering, data science and leadership teams, you'll design and build scalable data platforms that power advanced analytics, machine learning, decision intelligence and emerging AI technologies. As the business continues to grow, there will be the opportunity to help build and lead a wider data function. Key Responsibilities Design, build and maintain scalable data platforms and pipelines. Develop Data-as-a-Service capabilities across products and customer solutions. Create trusted analytics, reporting and business intelligence solutions. Design and manage secure, reliable data services and APIs. Build data infrastructure supporting machine learning, statistical models and AI systems. Establish best practices for data quality, governance, lineage, metadata and observability. Embed security, privacy and compliance into data architecture and engineering processes. Collaborate across technical and commercial teams to influence data strategy and architecture. Required Experience Strong hands-on experience building and operating production-grade data platforms. Expertise in data architecture, ETL/ELT pipelines, data modelling and orchestration. Experience working with large-scale or complex datasets. Background delivering analytics and business intelligence solutions. Experience designing secure data services and APIs. Knowledge of machine learning data foundations and modern AI-enablement practices. Strong understanding of statistics, experimentation and data-driven decision making. Experience working within enterprise or highly regulated environments. Passion for engineering excellence, security, quality and continuous improvement. AWS data and analytics ecosystem What's on Offer? Salary of £110,000. Share options. Private medical insurance. Fully remote UK-based working. High levels of autonomy and technical ownership. Opportunity to shape the future direction of data and AI within a rapidly scaling technology business. Clear progression into leadership as the organisation grows. Eligibility Applicants must be based in the UK, have the right to work in the UK, have continuously resided in the UK for the previous five years and be able to complete relevant pre-employment screening.
Nov 01, 2026
Full time
Lead Data Engineer Remote UK - £110,000 + Share Options + Private Medical Insurance A high-growth, venture-backed AI technology company is looking for a Lead Data Engineer to play a pivotal role in shaping the future of its data, analytics and AI capabilities. This is an opportunity to join an innovative organisation delivering cutting-edge AI-powered solutions to major enterprise clients, helping transform complex data into meaningful business intelligence. The Opportunity This is a senior, hands-on position offering significant technical ownership and influence. Working closely with product, engineering, data science and leadership teams, you'll design and build scalable data platforms that power advanced analytics, machine learning, decision intelligence and emerging AI technologies. As the business continues to grow, there will be the opportunity to help build and lead a wider data function. Key Responsibilities Design, build and maintain scalable data platforms and pipelines. Develop Data-as-a-Service capabilities across products and customer solutions. Create trusted analytics, reporting and business intelligence solutions. Design and manage secure, reliable data services and APIs. Build data infrastructure supporting machine learning, statistical models and AI systems. Establish best practices for data quality, governance, lineage, metadata and observability. Embed security, privacy and compliance into data architecture and engineering processes. Collaborate across technical and commercial teams to influence data strategy and architecture. Required Experience Strong hands-on experience building and operating production-grade data platforms. Expertise in data architecture, ETL/ELT pipelines, data modelling and orchestration. Experience working with large-scale or complex datasets. Background delivering analytics and business intelligence solutions. Experience designing secure data services and APIs. Knowledge of machine learning data foundations and modern AI-enablement practices. Strong understanding of statistics, experimentation and data-driven decision making. Experience working within enterprise or highly regulated environments. Passion for engineering excellence, security, quality and continuous improvement. AWS data and analytics ecosystem What's on Offer? Salary of £110,000. Share options. Private medical insurance. Fully remote UK-based working. High levels of autonomy and technical ownership. Opportunity to shape the future direction of data and AI within a rapidly scaling technology business. Clear progression into leadership as the organisation grows. Eligibility Applicants must be based in the UK, have the right to work in the UK, have continuously resided in the UK for the previous five years and be able to complete relevant pre-employment screening.
Lead Data Engineer Remote UK - £110,000 + Share Options + Private Medical Insurance A high-growth, venture-backed AI technology company is looking for a Lead Data Engineer to play a pivotal role in shaping the future of its data, analytics and AI capabilities. This is an opportunity to join an innovative organisation delivering cutting-edge AI-powered solutions to major enterprise clients, helping transform complex data into meaningful business intelligence. The Opportunity This is a senior, hands-on position offering significant technical ownership and influence. Working closely with product, engineering, data science and leadership teams, you'll design and build scalable data platforms that power advanced analytics, machine learning, decision intelligence and emerging AI technologies. As the business continues to grow, there will be the opportunity to help build and lead a wider data function. Key Responsibilities Design, build and maintain scalable data platforms and pipelines. Develop Data-as-a-Service capabilities across products and customer solutions. Create trusted analytics, reporting and business intelligence solutions. Design and manage secure, reliable data services and APIs. Build data infrastructure supporting machine learning, statistical models and AI systems. Establish best practices for data quality, governance, lineage, metadata and observability. Embed security, privacy and compliance into data architecture and engineering processes. Collaborate across technical and commercial teams to influence data strategy and architecture. Required Experience Strong hands-on experience building and operating production-grade data platforms. Expertise in data architecture, ETL/ELT pipelines, data modelling and orchestration. Experience working with large-scale or complex datasets. Background delivering analytics and business intelligence solutions. Experience designing secure data services and APIs. Knowledge of machine learning data foundations and modern AI-enablement practices. Strong understanding of statistics, experimentation and data-driven decision making. Experience working within enterprise or highly regulated environments. Passion for engineering excellence, security, quality and continuous improvement. AWS data and analytics ecosystem What's on Offer? Salary of £110,000. Share options. Private medical insurance. Fully remote UK-based working. High levels of autonomy and technical ownership. Opportunity to shape the future direction of data and AI within a rapidly scaling technology business. Clear progression into leadership as the organisation grows. Eligibility Applicants must be based in the UK, have the right to work in the UK, have continuously resided in the UK for the previous five years and be able to complete relevant pre-employment screening.
Nov 01, 2026
Full time
Lead Data Engineer Remote UK - £110,000 + Share Options + Private Medical Insurance A high-growth, venture-backed AI technology company is looking for a Lead Data Engineer to play a pivotal role in shaping the future of its data, analytics and AI capabilities. This is an opportunity to join an innovative organisation delivering cutting-edge AI-powered solutions to major enterprise clients, helping transform complex data into meaningful business intelligence. The Opportunity This is a senior, hands-on position offering significant technical ownership and influence. Working closely with product, engineering, data science and leadership teams, you'll design and build scalable data platforms that power advanced analytics, machine learning, decision intelligence and emerging AI technologies. As the business continues to grow, there will be the opportunity to help build and lead a wider data function. Key Responsibilities Design, build and maintain scalable data platforms and pipelines. Develop Data-as-a-Service capabilities across products and customer solutions. Create trusted analytics, reporting and business intelligence solutions. Design and manage secure, reliable data services and APIs. Build data infrastructure supporting machine learning, statistical models and AI systems. Establish best practices for data quality, governance, lineage, metadata and observability. Embed security, privacy and compliance into data architecture and engineering processes. Collaborate across technical and commercial teams to influence data strategy and architecture. Required Experience Strong hands-on experience building and operating production-grade data platforms. Expertise in data architecture, ETL/ELT pipelines, data modelling and orchestration. Experience working with large-scale or complex datasets. Background delivering analytics and business intelligence solutions. Experience designing secure data services and APIs. Knowledge of machine learning data foundations and modern AI-enablement practices. Strong understanding of statistics, experimentation and data-driven decision making. Experience working within enterprise or highly regulated environments. Passion for engineering excellence, security, quality and continuous improvement. AWS data and analytics ecosystem What's on Offer? Salary of £110,000. Share options. Private medical insurance. Fully remote UK-based working. High levels of autonomy and technical ownership. Opportunity to shape the future direction of data and AI within a rapidly scaling technology business. Clear progression into leadership as the organisation grows. Eligibility Applicants must be based in the UK, have the right to work in the UK, have continuously resided in the UK for the previous five years and be able to complete relevant pre-employment screening.
Lead Data Engineer Remote UK - £110,000 + Share Options + Private Medical Insurance A high-growth, venture-backed AI technology company is looking for a Lead Data Engineer to play a pivotal role in shaping the future of its data, analytics and AI capabilities. This is an opportunity to join an innovative organisation delivering cutting-edge AI-powered solutions to major enterprise clients, helping transform complex data into meaningful business intelligence. The Opportunity This is a senior, hands-on position offering significant technical ownership and influence. Working closely with product, engineering, data science and leadership teams, you'll design and build scalable data platforms that power advanced analytics, machine learning, decision intelligence and emerging AI technologies. As the business continues to grow, there will be the opportunity to help build and lead a wider data function. Key Responsibilities Design, build and maintain scalable data platforms and pipelines. Develop Data-as-a-Service capabilities across products and customer solutions. Create trusted analytics, reporting and business intelligence solutions. Design and manage secure, reliable data services and APIs. Build data infrastructure supporting machine learning, statistical models and AI systems. Establish best practices for data quality, governance, lineage, metadata and observability. Embed security, privacy and compliance into data architecture and engineering processes. Collaborate across technical and commercial teams to influence data strategy and architecture. Required Experience Strong hands-on experience building and operating production-grade data platforms. Expertise in data architecture, ETL/ELT pipelines, data modelling and orchestration. Experience working with large-scale or complex datasets. Background delivering analytics and business intelligence solutions. Experience designing secure data services and APIs. Knowledge of machine learning data foundations and modern AI-enablement practices. Strong understanding of statistics, experimentation and data-driven decision making. Experience working within enterprise or highly regulated environments. Passion for engineering excellence, security, quality and continuous improvement. AWS data and analytics ecosystem What's on Offer? Salary of £110,000. Share options. Private medical insurance. Fully remote UK-based working. High levels of autonomy and technical ownership. Opportunity to shape the future direction of data and AI within a rapidly scaling technology business. Clear progression into leadership as the organisation grows. Eligibility Applicants must be based in the UK, have the right to work in the UK, have continuously resided in the UK for the previous five years and be able to complete relevant pre-employment screening.
Nov 01, 2026
Full time
Lead Data Engineer Remote UK - £110,000 + Share Options + Private Medical Insurance A high-growth, venture-backed AI technology company is looking for a Lead Data Engineer to play a pivotal role in shaping the future of its data, analytics and AI capabilities. This is an opportunity to join an innovative organisation delivering cutting-edge AI-powered solutions to major enterprise clients, helping transform complex data into meaningful business intelligence. The Opportunity This is a senior, hands-on position offering significant technical ownership and influence. Working closely with product, engineering, data science and leadership teams, you'll design and build scalable data platforms that power advanced analytics, machine learning, decision intelligence and emerging AI technologies. As the business continues to grow, there will be the opportunity to help build and lead a wider data function. Key Responsibilities Design, build and maintain scalable data platforms and pipelines. Develop Data-as-a-Service capabilities across products and customer solutions. Create trusted analytics, reporting and business intelligence solutions. Design and manage secure, reliable data services and APIs. Build data infrastructure supporting machine learning, statistical models and AI systems. Establish best practices for data quality, governance, lineage, metadata and observability. Embed security, privacy and compliance into data architecture and engineering processes. Collaborate across technical and commercial teams to influence data strategy and architecture. Required Experience Strong hands-on experience building and operating production-grade data platforms. Expertise in data architecture, ETL/ELT pipelines, data modelling and orchestration. Experience working with large-scale or complex datasets. Background delivering analytics and business intelligence solutions. Experience designing secure data services and APIs. Knowledge of machine learning data foundations and modern AI-enablement practices. Strong understanding of statistics, experimentation and data-driven decision making. Experience working within enterprise or highly regulated environments. Passion for engineering excellence, security, quality and continuous improvement. AWS data and analytics ecosystem What's on Offer? Salary of £110,000. Share options. Private medical insurance. Fully remote UK-based working. High levels of autonomy and technical ownership. Opportunity to shape the future direction of data and AI within a rapidly scaling technology business. Clear progression into leadership as the organisation grows. Eligibility Applicants must be based in the UK, have the right to work in the UK, have continuously resided in the UK for the previous five years and be able to complete relevant pre-employment screening.
Lead Data Engineer Remote UK - £110,000 + Share Options + Private Medical Insurance A high-growth, venture-backed AI technology company is looking for a Lead Data Engineer to play a pivotal role in shaping the future of its data, analytics and AI capabilities. This is an opportunity to join an innovative organisation delivering cutting-edge AI-powered solutions to major enterprise clients, helping transform complex data into meaningful business intelligence. The Opportunity This is a senior, hands-on position offering significant technical ownership and influence. Working closely with product, engineering, data science and leadership teams, you'll design and build scalable data platforms that power advanced analytics, machine learning, decision intelligence and emerging AI technologies. As the business continues to grow, there will be the opportunity to help build and lead a wider data function. Key Responsibilities Design, build and maintain scalable data platforms and pipelines. Develop Data-as-a-Service capabilities across products and customer solutions. Create trusted analytics, reporting and business intelligence solutions. Design and manage secure, reliable data services and APIs. Build data infrastructure supporting machine learning, statistical models and AI systems. Establish best practices for data quality, governance, lineage, metadata and observability. Embed security, privacy and compliance into data architecture and engineering processes. Collaborate across technical and commercial teams to influence data strategy and architecture. Required Experience Strong hands-on experience building and operating production-grade data platforms. Expertise in data architecture, ETL/ELT pipelines, data modelling and orchestration. Experience working with large-scale or complex datasets. Background delivering analytics and business intelligence solutions. Experience designing secure data services and APIs. Knowledge of machine learning data foundations and modern AI-enablement practices. Strong understanding of statistics, experimentation and data-driven decision making. Experience working within enterprise or highly regulated environments. Passion for engineering excellence, security, quality and continuous improvement. AWS data and analytics ecosystem What's on Offer? Salary of £110,000. Share options. Private medical insurance. Fully remote UK-based working. High levels of autonomy and technical ownership. Opportunity to shape the future direction of data and AI within a rapidly scaling technology business. Clear progression into leadership as the organisation grows. Eligibility Applicants must be based in the UK, have the right to work in the UK, have continuously resided in the UK for the previous five years and be able to complete relevant pre-employment screening.
Nov 01, 2026
Full time
Lead Data Engineer Remote UK - £110,000 + Share Options + Private Medical Insurance A high-growth, venture-backed AI technology company is looking for a Lead Data Engineer to play a pivotal role in shaping the future of its data, analytics and AI capabilities. This is an opportunity to join an innovative organisation delivering cutting-edge AI-powered solutions to major enterprise clients, helping transform complex data into meaningful business intelligence. The Opportunity This is a senior, hands-on position offering significant technical ownership and influence. Working closely with product, engineering, data science and leadership teams, you'll design and build scalable data platforms that power advanced analytics, machine learning, decision intelligence and emerging AI technologies. As the business continues to grow, there will be the opportunity to help build and lead a wider data function. Key Responsibilities Design, build and maintain scalable data platforms and pipelines. Develop Data-as-a-Service capabilities across products and customer solutions. Create trusted analytics, reporting and business intelligence solutions. Design and manage secure, reliable data services and APIs. Build data infrastructure supporting machine learning, statistical models and AI systems. Establish best practices for data quality, governance, lineage, metadata and observability. Embed security, privacy and compliance into data architecture and engineering processes. Collaborate across technical and commercial teams to influence data strategy and architecture. Required Experience Strong hands-on experience building and operating production-grade data platforms. Expertise in data architecture, ETL/ELT pipelines, data modelling and orchestration. Experience working with large-scale or complex datasets. Background delivering analytics and business intelligence solutions. Experience designing secure data services and APIs. Knowledge of machine learning data foundations and modern AI-enablement practices. Strong understanding of statistics, experimentation and data-driven decision making. Experience working within enterprise or highly regulated environments. Passion for engineering excellence, security, quality and continuous improvement. AWS data and analytics ecosystem What's on Offer? Salary of £110,000. Share options. Private medical insurance. Fully remote UK-based working. High levels of autonomy and technical ownership. Opportunity to shape the future direction of data and AI within a rapidly scaling technology business. Clear progression into leadership as the organisation grows. Eligibility Applicants must be based in the UK, have the right to work in the UK, have continuously resided in the UK for the previous five years and be able to complete relevant pre-employment screening.
Lead Data Engineer Remote UK - £110,000 + Share Options + Private Medical Insurance A high-growth, venture-backed AI technology company is looking for a Lead Data Engineer to play a pivotal role in shaping the future of its data, analytics and AI capabilities. This is an opportunity to join an innovative organisation delivering cutting-edge AI-powered solutions to major enterprise clients, helping transform complex data into meaningful business intelligence. The Opportunity This is a senior, hands-on position offering significant technical ownership and influence. Working closely with product, engineering, data science and leadership teams, you'll design and build scalable data platforms that power advanced analytics, machine learning, decision intelligence and emerging AI technologies. As the business continues to grow, there will be the opportunity to help build and lead a wider data function. Key Responsibilities Design, build and maintain scalable data platforms and pipelines. Develop Data-as-a-Service capabilities across products and customer solutions. Create trusted analytics, reporting and business intelligence solutions. Design and manage secure, reliable data services and APIs. Build data infrastructure supporting machine learning, statistical models and AI systems. Establish best practices for data quality, governance, lineage, metadata and observability. Embed security, privacy and compliance into data architecture and engineering processes. Collaborate across technical and commercial teams to influence data strategy and architecture. Required Experience Strong hands-on experience building and operating production-grade data platforms. Expertise in data architecture, ETL/ELT pipelines, data modelling and orchestration. Experience working with large-scale or complex datasets. Background delivering analytics and business intelligence solutions. Experience designing secure data services and APIs. Knowledge of machine learning data foundations and modern AI-enablement practices. Strong understanding of statistics, experimentation and data-driven decision making. Experience working within enterprise or highly regulated environments. Passion for engineering excellence, security, quality and continuous improvement. AWS data and analytics ecosystem What's on Offer? Salary of £110,000. Share options. Private medical insurance. Fully remote UK-based working. High levels of autonomy and technical ownership. Opportunity to shape the future direction of data and AI within a rapidly scaling technology business. Clear progression into leadership as the organisation grows. Eligibility Applicants must be based in the UK, have the right to work in the UK, have continuously resided in the UK for the previous five years and be able to complete relevant pre-employment screening.
Nov 01, 2026
Full time
Lead Data Engineer Remote UK - £110,000 + Share Options + Private Medical Insurance A high-growth, venture-backed AI technology company is looking for a Lead Data Engineer to play a pivotal role in shaping the future of its data, analytics and AI capabilities. This is an opportunity to join an innovative organisation delivering cutting-edge AI-powered solutions to major enterprise clients, helping transform complex data into meaningful business intelligence. The Opportunity This is a senior, hands-on position offering significant technical ownership and influence. Working closely with product, engineering, data science and leadership teams, you'll design and build scalable data platforms that power advanced analytics, machine learning, decision intelligence and emerging AI technologies. As the business continues to grow, there will be the opportunity to help build and lead a wider data function. Key Responsibilities Design, build and maintain scalable data platforms and pipelines. Develop Data-as-a-Service capabilities across products and customer solutions. Create trusted analytics, reporting and business intelligence solutions. Design and manage secure, reliable data services and APIs. Build data infrastructure supporting machine learning, statistical models and AI systems. Establish best practices for data quality, governance, lineage, metadata and observability. Embed security, privacy and compliance into data architecture and engineering processes. Collaborate across technical and commercial teams to influence data strategy and architecture. Required Experience Strong hands-on experience building and operating production-grade data platforms. Expertise in data architecture, ETL/ELT pipelines, data modelling and orchestration. Experience working with large-scale or complex datasets. Background delivering analytics and business intelligence solutions. Experience designing secure data services and APIs. Knowledge of machine learning data foundations and modern AI-enablement practices. Strong understanding of statistics, experimentation and data-driven decision making. Experience working within enterprise or highly regulated environments. Passion for engineering excellence, security, quality and continuous improvement. AWS data and analytics ecosystem What's on Offer? Salary of £110,000. Share options. Private medical insurance. Fully remote UK-based working. High levels of autonomy and technical ownership. Opportunity to shape the future direction of data and AI within a rapidly scaling technology business. Clear progression into leadership as the organisation grows. Eligibility Applicants must be based in the UK, have the right to work in the UK, have continuously resided in the UK for the previous five years and be able to complete relevant pre-employment screening.
Lead Data Engineer Remote UK - £110,000 + Share Options + Private Medical Insurance A high-growth, venture-backed AI technology company is looking for a Lead Data Engineer to play a pivotal role in shaping the future of its data, analytics and AI capabilities. This is an opportunity to join an innovative organisation delivering cutting-edge AI-powered solutions to major enterprise clients, helping transform complex data into meaningful business intelligence. The Opportunity This is a senior, hands-on position offering significant technical ownership and influence. Working closely with product, engineering, data science and leadership teams, you'll design and build scalable data platforms that power advanced analytics, machine learning, decision intelligence and emerging AI technologies. As the business continues to grow, there will be the opportunity to help build and lead a wider data function. Key Responsibilities Design, build and maintain scalable data platforms and pipelines. Develop Data-as-a-Service capabilities across products and customer solutions. Create trusted analytics, reporting and business intelligence solutions. Design and manage secure, reliable data services and APIs. Build data infrastructure supporting machine learning, statistical models and AI systems. Establish best practices for data quality, governance, lineage, metadata and observability. Embed security, privacy and compliance into data architecture and engineering processes. Collaborate across technical and commercial teams to influence data strategy and architecture. Required Experience Strong hands-on experience building and operating production-grade data platforms. Expertise in data architecture, ETL/ELT pipelines, data modelling and orchestration. Experience working with large-scale or complex datasets. Background delivering analytics and business intelligence solutions. Experience designing secure data services and APIs. Knowledge of machine learning data foundations and modern AI-enablement practices. Strong understanding of statistics, experimentation and data-driven decision making. Experience working within enterprise or highly regulated environments. Passion for engineering excellence, security, quality and continuous improvement. AWS data and analytics ecosystem What's on Offer? Salary of £110,000. Share options. Private medical insurance. Fully remote UK-based working. High levels of autonomy and technical ownership. Opportunity to shape the future direction of data and AI within a rapidly scaling technology business. Clear progression into leadership as the organisation grows. Eligibility Applicants must be based in the UK, have the right to work in the UK, have continuously resided in the UK for the previous five years and be able to complete relevant pre-employment screening.
Nov 01, 2026
Full time
Lead Data Engineer Remote UK - £110,000 + Share Options + Private Medical Insurance A high-growth, venture-backed AI technology company is looking for a Lead Data Engineer to play a pivotal role in shaping the future of its data, analytics and AI capabilities. This is an opportunity to join an innovative organisation delivering cutting-edge AI-powered solutions to major enterprise clients, helping transform complex data into meaningful business intelligence. The Opportunity This is a senior, hands-on position offering significant technical ownership and influence. Working closely with product, engineering, data science and leadership teams, you'll design and build scalable data platforms that power advanced analytics, machine learning, decision intelligence and emerging AI technologies. As the business continues to grow, there will be the opportunity to help build and lead a wider data function. Key Responsibilities Design, build and maintain scalable data platforms and pipelines. Develop Data-as-a-Service capabilities across products and customer solutions. Create trusted analytics, reporting and business intelligence solutions. Design and manage secure, reliable data services and APIs. Build data infrastructure supporting machine learning, statistical models and AI systems. Establish best practices for data quality, governance, lineage, metadata and observability. Embed security, privacy and compliance into data architecture and engineering processes. Collaborate across technical and commercial teams to influence data strategy and architecture. Required Experience Strong hands-on experience building and operating production-grade data platforms. Expertise in data architecture, ETL/ELT pipelines, data modelling and orchestration. Experience working with large-scale or complex datasets. Background delivering analytics and business intelligence solutions. Experience designing secure data services and APIs. Knowledge of machine learning data foundations and modern AI-enablement practices. Strong understanding of statistics, experimentation and data-driven decision making. Experience working within enterprise or highly regulated environments. Passion for engineering excellence, security, quality and continuous improvement. AWS data and analytics ecosystem What's on Offer? Salary of £110,000. Share options. Private medical insurance. Fully remote UK-based working. High levels of autonomy and technical ownership. Opportunity to shape the future direction of data and AI within a rapidly scaling technology business. Clear progression into leadership as the organisation grows. Eligibility Applicants must be based in the UK, have the right to work in the UK, have continuously resided in the UK for the previous five years and be able to complete relevant pre-employment screening.
Lead Data Engineer Remote UK - £110,000 + Share Options + Private Medical Insurance A high-growth, venture-backed AI technology company is looking for a Lead Data Engineer to play a pivotal role in shaping the future of its data, analytics and AI capabilities. This is an opportunity to join an innovative organisation delivering cutting-edge AI-powered solutions to major enterprise clients, helping transform complex data into meaningful business intelligence. The Opportunity This is a senior, hands-on position offering significant technical ownership and influence. Working closely with product, engineering, data science and leadership teams, you'll design and build scalable data platforms that power advanced analytics, machine learning, decision intelligence and emerging AI technologies. As the business continues to grow, there will be the opportunity to help build and lead a wider data function. Key Responsibilities Design, build and maintain scalable data platforms and pipelines. Develop Data-as-a-Service capabilities across products and customer solutions. Create trusted analytics, reporting and business intelligence solutions. Design and manage secure, reliable data services and APIs. Build data infrastructure supporting machine learning, statistical models and AI systems. Establish best practices for data quality, governance, lineage, metadata and observability. Embed security, privacy and compliance into data architecture and engineering processes. Collaborate across technical and commercial teams to influence data strategy and architecture. Required Experience Strong hands-on experience building and operating production-grade data platforms. Expertise in data architecture, ETL/ELT pipelines, data modelling and orchestration. Experience working with large-scale or complex datasets. Background delivering analytics and business intelligence solutions. Experience designing secure data services and APIs. Knowledge of machine learning data foundations and modern AI-enablement practices. Strong understanding of statistics, experimentation and data-driven decision making. Experience working within enterprise or highly regulated environments. Passion for engineering excellence, security, quality and continuous improvement. AWS data and analytics ecosystem What's on Offer? Salary of £110,000. Share options. Private medical insurance. Fully remote UK-based working. High levels of autonomy and technical ownership. Opportunity to shape the future direction of data and AI within a rapidly scaling technology business. Clear progression into leadership as the organisation grows. Eligibility Applicants must be based in the UK, have the right to work in the UK, have continuously resided in the UK for the previous five years and be able to complete relevant pre-employment screening.
Nov 01, 2026
Full time
Lead Data Engineer Remote UK - £110,000 + Share Options + Private Medical Insurance A high-growth, venture-backed AI technology company is looking for a Lead Data Engineer to play a pivotal role in shaping the future of its data, analytics and AI capabilities. This is an opportunity to join an innovative organisation delivering cutting-edge AI-powered solutions to major enterprise clients, helping transform complex data into meaningful business intelligence. The Opportunity This is a senior, hands-on position offering significant technical ownership and influence. Working closely with product, engineering, data science and leadership teams, you'll design and build scalable data platforms that power advanced analytics, machine learning, decision intelligence and emerging AI technologies. As the business continues to grow, there will be the opportunity to help build and lead a wider data function. Key Responsibilities Design, build and maintain scalable data platforms and pipelines. Develop Data-as-a-Service capabilities across products and customer solutions. Create trusted analytics, reporting and business intelligence solutions. Design and manage secure, reliable data services and APIs. Build data infrastructure supporting machine learning, statistical models and AI systems. Establish best practices for data quality, governance, lineage, metadata and observability. Embed security, privacy and compliance into data architecture and engineering processes. Collaborate across technical and commercial teams to influence data strategy and architecture. Required Experience Strong hands-on experience building and operating production-grade data platforms. Expertise in data architecture, ETL/ELT pipelines, data modelling and orchestration. Experience working with large-scale or complex datasets. Background delivering analytics and business intelligence solutions. Experience designing secure data services and APIs. Knowledge of machine learning data foundations and modern AI-enablement practices. Strong understanding of statistics, experimentation and data-driven decision making. Experience working within enterprise or highly regulated environments. Passion for engineering excellence, security, quality and continuous improvement. AWS data and analytics ecosystem What's on Offer? Salary of £110,000. Share options. Private medical insurance. Fully remote UK-based working. High levels of autonomy and technical ownership. Opportunity to shape the future direction of data and AI within a rapidly scaling technology business. Clear progression into leadership as the organisation grows. Eligibility Applicants must be based in the UK, have the right to work in the UK, have continuously resided in the UK for the previous five years and be able to complete relevant pre-employment screening.
Lead Data Engineer Remote UK - £110,000 + Share Options + Private Medical Insurance A high-growth, venture-backed AI technology company is looking for a Lead Data Engineer to play a pivotal role in shaping the future of its data, analytics and AI capabilities. This is an opportunity to join an innovative organisation delivering cutting-edge AI-powered solutions to major enterprise clients, helping transform complex data into meaningful business intelligence. The Opportunity This is a senior, hands-on position offering significant technical ownership and influence. Working closely with product, engineering, data science and leadership teams, you'll design and build scalable data platforms that power advanced analytics, machine learning, decision intelligence and emerging AI technologies. As the business continues to grow, there will be the opportunity to help build and lead a wider data function. Key Responsibilities Design, build and maintain scalable data platforms and pipelines. Develop Data-as-a-Service capabilities across products and customer solutions. Create trusted analytics, reporting and business intelligence solutions. Design and manage secure, reliable data services and APIs. Build data infrastructure supporting machine learning, statistical models and AI systems. Establish best practices for data quality, governance, lineage, metadata and observability. Embed security, privacy and compliance into data architecture and engineering processes. Collaborate across technical and commercial teams to influence data strategy and architecture. Required Experience Strong hands-on experience building and operating production-grade data platforms. Expertise in data architecture, ETL/ELT pipelines, data modelling and orchestration. Experience working with large-scale or complex datasets. Background delivering analytics and business intelligence solutions. Experience designing secure data services and APIs. Knowledge of machine learning data foundations and modern AI-enablement practices. Strong understanding of statistics, experimentation and data-driven decision making. Experience working within enterprise or highly regulated environments. Passion for engineering excellence, security, quality and continuous improvement. AWS data and analytics ecosystem What's on Offer? Salary of £110,000. Share options. Private medical insurance. Fully remote UK-based working. High levels of autonomy and technical ownership. Opportunity to shape the future direction of data and AI within a rapidly scaling technology business. Clear progression into leadership as the organisation grows. Eligibility Applicants must be based in the UK, have the right to work in the UK, have continuously resided in the UK for the previous five years and be able to complete relevant pre-employment screening.
Nov 01, 2026
Full time
Lead Data Engineer Remote UK - £110,000 + Share Options + Private Medical Insurance A high-growth, venture-backed AI technology company is looking for a Lead Data Engineer to play a pivotal role in shaping the future of its data, analytics and AI capabilities. This is an opportunity to join an innovative organisation delivering cutting-edge AI-powered solutions to major enterprise clients, helping transform complex data into meaningful business intelligence. The Opportunity This is a senior, hands-on position offering significant technical ownership and influence. Working closely with product, engineering, data science and leadership teams, you'll design and build scalable data platforms that power advanced analytics, machine learning, decision intelligence and emerging AI technologies. As the business continues to grow, there will be the opportunity to help build and lead a wider data function. Key Responsibilities Design, build and maintain scalable data platforms and pipelines. Develop Data-as-a-Service capabilities across products and customer solutions. Create trusted analytics, reporting and business intelligence solutions. Design and manage secure, reliable data services and APIs. Build data infrastructure supporting machine learning, statistical models and AI systems. Establish best practices for data quality, governance, lineage, metadata and observability. Embed security, privacy and compliance into data architecture and engineering processes. Collaborate across technical and commercial teams to influence data strategy and architecture. Required Experience Strong hands-on experience building and operating production-grade data platforms. Expertise in data architecture, ETL/ELT pipelines, data modelling and orchestration. Experience working with large-scale or complex datasets. Background delivering analytics and business intelligence solutions. Experience designing secure data services and APIs. Knowledge of machine learning data foundations and modern AI-enablement practices. Strong understanding of statistics, experimentation and data-driven decision making. Experience working within enterprise or highly regulated environments. Passion for engineering excellence, security, quality and continuous improvement. AWS data and analytics ecosystem What's on Offer? Salary of £110,000. Share options. Private medical insurance. Fully remote UK-based working. High levels of autonomy and technical ownership. Opportunity to shape the future direction of data and AI within a rapidly scaling technology business. Clear progression into leadership as the organisation grows. Eligibility Applicants must be based in the UK, have the right to work in the UK, have continuously resided in the UK for the previous five years and be able to complete relevant pre-employment screening.
Lead Data Engineer Remote UK - £110,000 + Share Options + Private Medical Insurance A high-growth, venture-backed AI technology company is looking for a Lead Data Engineer to play a pivotal role in shaping the future of its data, analytics and AI capabilities. This is an opportunity to join an innovative organisation delivering cutting-edge AI-powered solutions to major enterprise clients, helping transform complex data into meaningful business intelligence. The Opportunity This is a senior, hands-on position offering significant technical ownership and influence. Working closely with product, engineering, data science and leadership teams, you'll design and build scalable data platforms that power advanced analytics, machine learning, decision intelligence and emerging AI technologies. As the business continues to grow, there will be the opportunity to help build and lead a wider data function. Key Responsibilities Design, build and maintain scalable data platforms and pipelines. Develop Data-as-a-Service capabilities across products and customer solutions. Create trusted analytics, reporting and business intelligence solutions. Design and manage secure, reliable data services and APIs. Build data infrastructure supporting machine learning, statistical models and AI systems. Establish best practices for data quality, governance, lineage, metadata and observability. Embed security, privacy and compliance into data architecture and engineering processes. Collaborate across technical and commercial teams to influence data strategy and architecture. Required Experience Strong hands-on experience building and operating production-grade data platforms. Expertise in data architecture, ETL/ELT pipelines, data modelling and orchestration. Experience working with large-scale or complex datasets. Background delivering analytics and business intelligence solutions. Experience designing secure data services and APIs. Knowledge of machine learning data foundations and modern AI-enablement practices. Strong understanding of statistics, experimentation and data-driven decision making. Experience working within enterprise or highly regulated environments. Passion for engineering excellence, security, quality and continuous improvement. AWS data and analytics ecosystem What's on Offer? Salary of £110,000. Share options. Private medical insurance. Fully remote UK-based working. High levels of autonomy and technical ownership. Opportunity to shape the future direction of data and AI within a rapidly scaling technology business. Clear progression into leadership as the organisation grows. Eligibility Applicants must be based in the UK, have the right to work in the UK, have continuously resided in the UK for the previous five years and be able to complete relevant pre-employment screening.
Nov 01, 2026
Full time
Lead Data Engineer Remote UK - £110,000 + Share Options + Private Medical Insurance A high-growth, venture-backed AI technology company is looking for a Lead Data Engineer to play a pivotal role in shaping the future of its data, analytics and AI capabilities. This is an opportunity to join an innovative organisation delivering cutting-edge AI-powered solutions to major enterprise clients, helping transform complex data into meaningful business intelligence. The Opportunity This is a senior, hands-on position offering significant technical ownership and influence. Working closely with product, engineering, data science and leadership teams, you'll design and build scalable data platforms that power advanced analytics, machine learning, decision intelligence and emerging AI technologies. As the business continues to grow, there will be the opportunity to help build and lead a wider data function. Key Responsibilities Design, build and maintain scalable data platforms and pipelines. Develop Data-as-a-Service capabilities across products and customer solutions. Create trusted analytics, reporting and business intelligence solutions. Design and manage secure, reliable data services and APIs. Build data infrastructure supporting machine learning, statistical models and AI systems. Establish best practices for data quality, governance, lineage, metadata and observability. Embed security, privacy and compliance into data architecture and engineering processes. Collaborate across technical and commercial teams to influence data strategy and architecture. Required Experience Strong hands-on experience building and operating production-grade data platforms. Expertise in data architecture, ETL/ELT pipelines, data modelling and orchestration. Experience working with large-scale or complex datasets. Background delivering analytics and business intelligence solutions. Experience designing secure data services and APIs. Knowledge of machine learning data foundations and modern AI-enablement practices. Strong understanding of statistics, experimentation and data-driven decision making. Experience working within enterprise or highly regulated environments. Passion for engineering excellence, security, quality and continuous improvement. AWS data and analytics ecosystem What's on Offer? Salary of £110,000. Share options. Private medical insurance. Fully remote UK-based working. High levels of autonomy and technical ownership. Opportunity to shape the future direction of data and AI within a rapidly scaling technology business. Clear progression into leadership as the organisation grows. Eligibility Applicants must be based in the UK, have the right to work in the UK, have continuously resided in the UK for the previous five years and be able to complete relevant pre-employment screening.
Lead Data Engineer Remote UK - £110,000 + Share Options + Private Medical Insurance A high-growth, venture-backed AI technology company is looking for a Lead Data Engineer to play a pivotal role in shaping the future of its data, analytics and AI capabilities. This is an opportunity to join an innovative organisation delivering cutting-edge AI-powered solutions to major enterprise clients, helping transform complex data into meaningful business intelligence. The Opportunity This is a senior, hands-on position offering significant technical ownership and influence. Working closely with product, engineering, data science and leadership teams, you'll design and build scalable data platforms that power advanced analytics, machine learning, decision intelligence and emerging AI technologies. As the business continues to grow, there will be the opportunity to help build and lead a wider data function. Key Responsibilities Design, build and maintain scalable data platforms and pipelines. Develop Data-as-a-Service capabilities across products and customer solutions. Create trusted analytics, reporting and business intelligence solutions. Design and manage secure, reliable data services and APIs. Build data infrastructure supporting machine learning, statistical models and AI systems. Establish best practices for data quality, governance, lineage, metadata and observability. Embed security, privacy and compliance into data architecture and engineering processes. Collaborate across technical and commercial teams to influence data strategy and architecture. Required Experience Strong hands-on experience building and operating production-grade data platforms. Expertise in data architecture, ETL/ELT pipelines, data modelling and orchestration. Experience working with large-scale or complex datasets. Background delivering analytics and business intelligence solutions. Experience designing secure data services and APIs. Knowledge of machine learning data foundations and modern AI-enablement practices. Strong understanding of statistics, experimentation and data-driven decision making. Experience working within enterprise or highly regulated environments. Passion for engineering excellence, security, quality and continuous improvement. AWS data and analytics ecosystem What's on Offer? Salary of £110,000. Share options. Private medical insurance. Fully remote UK-based working. High levels of autonomy and technical ownership. Opportunity to shape the future direction of data and AI within a rapidly scaling technology business. Clear progression into leadership as the organisation grows. Eligibility Applicants must be based in the UK, have the right to work in the UK, have continuously resided in the UK for the previous five years and be able to complete relevant pre-employment screening.
Nov 01, 2026
Full time
Lead Data Engineer Remote UK - £110,000 + Share Options + Private Medical Insurance A high-growth, venture-backed AI technology company is looking for a Lead Data Engineer to play a pivotal role in shaping the future of its data, analytics and AI capabilities. This is an opportunity to join an innovative organisation delivering cutting-edge AI-powered solutions to major enterprise clients, helping transform complex data into meaningful business intelligence. The Opportunity This is a senior, hands-on position offering significant technical ownership and influence. Working closely with product, engineering, data science and leadership teams, you'll design and build scalable data platforms that power advanced analytics, machine learning, decision intelligence and emerging AI technologies. As the business continues to grow, there will be the opportunity to help build and lead a wider data function. Key Responsibilities Design, build and maintain scalable data platforms and pipelines. Develop Data-as-a-Service capabilities across products and customer solutions. Create trusted analytics, reporting and business intelligence solutions. Design and manage secure, reliable data services and APIs. Build data infrastructure supporting machine learning, statistical models and AI systems. Establish best practices for data quality, governance, lineage, metadata and observability. Embed security, privacy and compliance into data architecture and engineering processes. Collaborate across technical and commercial teams to influence data strategy and architecture. Required Experience Strong hands-on experience building and operating production-grade data platforms. Expertise in data architecture, ETL/ELT pipelines, data modelling and orchestration. Experience working with large-scale or complex datasets. Background delivering analytics and business intelligence solutions. Experience designing secure data services and APIs. Knowledge of machine learning data foundations and modern AI-enablement practices. Strong understanding of statistics, experimentation and data-driven decision making. Experience working within enterprise or highly regulated environments. Passion for engineering excellence, security, quality and continuous improvement. AWS data and analytics ecosystem What's on Offer? Salary of £110,000. Share options. Private medical insurance. Fully remote UK-based working. High levels of autonomy and technical ownership. Opportunity to shape the future direction of data and AI within a rapidly scaling technology business. Clear progression into leadership as the organisation grows. Eligibility Applicants must be based in the UK, have the right to work in the UK, have continuously resided in the UK for the previous five years and be able to complete relevant pre-employment screening.
London/hybrid (UK based candidates only) Initial 6-Month Contract £500 pd Outside IR35 Possibility for extension We're looking for an experienced AWS Data Architect to design and deliver modern cloud-native data platforms. This is a hands-on role focused on building scalable, secure and high-performing solutions that support analytics, AI, and enterprise reporting. Key Skills Required AWS (S3, Glue, Redshift, Athena, Kinesis, Lambda) Data Lake & Lakehouse architectures ETL/ELT & data pipelines Python, SQL & PySpark Data modelling (Kimball, Data Vault) Data governance & security Terraform/CloudFormation Real-time & batch processing Experience Designing and delivering enterprise AWS data platforms Building scalable analytics and reporting solutions Defining architecture standards and best practices Working closely with business and technical stakeholders Leading data transformation and cloud migration initiatives Desirable Databricks, Snowflake, dbt Kafka, Apache Iceberg, Delta Lake Data Mesh / Data Fabric AI & ML-enabled data platforms
Nov 01, 2026
Full time
London/hybrid (UK based candidates only) Initial 6-Month Contract £500 pd Outside IR35 Possibility for extension We're looking for an experienced AWS Data Architect to design and deliver modern cloud-native data platforms. This is a hands-on role focused on building scalable, secure and high-performing solutions that support analytics, AI, and enterprise reporting. Key Skills Required AWS (S3, Glue, Redshift, Athena, Kinesis, Lambda) Data Lake & Lakehouse architectures ETL/ELT & data pipelines Python, SQL & PySpark Data modelling (Kimball, Data Vault) Data governance & security Terraform/CloudFormation Real-time & batch processing Experience Designing and delivering enterprise AWS data platforms Building scalable analytics and reporting solutions Defining architecture standards and best practices Working closely with business and technical stakeholders Leading data transformation and cloud migration initiatives Desirable Databricks, Snowflake, dbt Kafka, Apache Iceberg, Delta Lake Data Mesh / Data Fabric AI & ML-enabled data platforms
Principal Microsoft Fabric Consultant - Remote (UK) - Up to £110,000 + Benefits Are you passionate about helping organisations get more value from their data? We're working with a leading Microsoft-focused consultancy that is continuing to invest heavily in its Data & AI practice. With a strong pipeline of Microsoft Fabric projects, they're looking for an experienced Principal Data Consultant to take ownership of customer engagements, shape technical solutions, mentor consultants, drive successful project delivery. This is an opportunity to join a business where you'll have genuine influence. You'll work directly with customers, help define their data strategy, lead discovery workshops, guide technical delivery, play a key role in the continued growth of the Data practice. The role is ideal for someone who enjoys combining consultancy, leadership, architecture, hands-on technical expertise whilst remaining close to customers throughout the project lifecycle. What You'll Be Doing Leading customer workshops, discovery sessions, requirements gathering activities Turning business challenges into practical data solutions Designing modern data platforms using Microsoft Fabric, Azure Data Services Providing technical leadership across complex Data & Analytics projects Building trusted relationships with senior business stakeholders Supporting customers from initial scoping through to successful delivery Contributing to solution design, proposals, statements of work, pre-sales activities Mentoring consultants across the wider Data team Promoting best practice across data engineering, analytics, reporting Identifying opportunities where customers can generate additional value from their data investments What's On Offer Fully remote working Access to enterprise-scale Microsoft Fabric programmes Opportunity to influence the direction of a growing Data & AI practice Clear progression opportunities Ongoing investment in Microsoft certifications, professional development Collaborative culture with direct access to senior leadership 25 days holiday Enhanced parental benefits Key Experience We're looking to speak with candidates who have experience in: Delivering customer-facing Data & Analytics projects within a consultancy environment Microsoft Fabric architecture, implementation, delivery Azure Data Platform technologies Azure Data Factory Synapse Analytics Data architecture, modern data platform design SQL Python Lakehouse architecture Stakeholder management at both business, technical levels Running workshops, gathering requirements, shaping solutions Leading complex data transformation projects Experience with Databricks would be beneficial but is not essential. Apply Now This is a rare opportunity to join a growing Microsoft consultancy at a time of significant investment within Data & AI. If you're looking for a role where you can influence customers, lead major Microsoft Fabric projects, help shape the future of a growing practice, we'd love to hear from you. Apply today or send your CV directly for immediate consideration. Unfortunately, sponsorship is not available for this position.
Nov 01, 2026
Full time
Principal Microsoft Fabric Consultant - Remote (UK) - Up to £110,000 + Benefits Are you passionate about helping organisations get more value from their data? We're working with a leading Microsoft-focused consultancy that is continuing to invest heavily in its Data & AI practice. With a strong pipeline of Microsoft Fabric projects, they're looking for an experienced Principal Data Consultant to take ownership of customer engagements, shape technical solutions, mentor consultants, drive successful project delivery. This is an opportunity to join a business where you'll have genuine influence. You'll work directly with customers, help define their data strategy, lead discovery workshops, guide technical delivery, play a key role in the continued growth of the Data practice. The role is ideal for someone who enjoys combining consultancy, leadership, architecture, hands-on technical expertise whilst remaining close to customers throughout the project lifecycle. What You'll Be Doing Leading customer workshops, discovery sessions, requirements gathering activities Turning business challenges into practical data solutions Designing modern data platforms using Microsoft Fabric, Azure Data Services Providing technical leadership across complex Data & Analytics projects Building trusted relationships with senior business stakeholders Supporting customers from initial scoping through to successful delivery Contributing to solution design, proposals, statements of work, pre-sales activities Mentoring consultants across the wider Data team Promoting best practice across data engineering, analytics, reporting Identifying opportunities where customers can generate additional value from their data investments What's On Offer Fully remote working Access to enterprise-scale Microsoft Fabric programmes Opportunity to influence the direction of a growing Data & AI practice Clear progression opportunities Ongoing investment in Microsoft certifications, professional development Collaborative culture with direct access to senior leadership 25 days holiday Enhanced parental benefits Key Experience We're looking to speak with candidates who have experience in: Delivering customer-facing Data & Analytics projects within a consultancy environment Microsoft Fabric architecture, implementation, delivery Azure Data Platform technologies Azure Data Factory Synapse Analytics Data architecture, modern data platform design SQL Python Lakehouse architecture Stakeholder management at both business, technical levels Running workshops, gathering requirements, shaping solutions Leading complex data transformation projects Experience with Databricks would be beneficial but is not essential. Apply Now This is a rare opportunity to join a growing Microsoft consultancy at a time of significant investment within Data & AI. If you're looking for a role where you can influence customers, lead major Microsoft Fabric projects, help shape the future of a growing practice, we'd love to hear from you. Apply today or send your CV directly for immediate consideration. Unfortunately, sponsorship is not available for this position.
Lead Data Engineer Remote UK - £110,000 + Share Options + Private Medical Insurance A high-growth, venture-backed AI technology company is looking for a Lead Data Engineer to play a pivotal role in shaping the future of its data, analytics and AI capabilities. This is an opportunity to join an innovative organisation delivering cutting-edge AI-powered solutions to major enterprise clients, helping transform complex data into meaningful business intelligence. The Opportunity This is a senior, hands-on position offering significant technical ownership and influence. Working closely with product, engineering, data science and leadership teams, you'll design and build scalable data platforms that power advanced analytics, machine learning, decision intelligence and emerging AI technologies. As the business continues to grow, there will be the opportunity to help build and lead a wider data function. Key Responsibilities Design, build and maintain scalable data platforms and pipelines. Develop Data-as-a-Service capabilities across products and customer solutions. Create trusted analytics, reporting and business intelligence solutions. Design and manage secure, reliable data services and APIs. Build data infrastructure supporting machine learning, statistical models and AI systems. Establish best practices for data quality, governance, lineage, metadata and observability. Embed security, privacy and compliance into data architecture and engineering processes. Collaborate across technical and commercial teams to influence data strategy and architecture. Required Experience Strong hands-on experience building and operating production-grade data platforms. Expertise in data architecture, ETL/ELT pipelines, data modelling and orchestration. Experience working with large-scale or complex datasets. Background delivering analytics and business intelligence solutions. Experience designing secure data services and APIs. Knowledge of machine learning data foundations and modern AI-enablement practices. Strong understanding of statistics, experimentation and data-driven decision making. Experience working within enterprise or highly regulated environments. Passion for engineering excellence, security, quality and continuous improvement. AWS data and analytics ecosystem What's on Offer? Salary of £110,000. Share options. Private medical insurance. Fully remote UK-based working. High levels of autonomy and technical ownership. Opportunity to shape the future direction of data and AI within a rapidly scaling technology business. Clear progression into leadership as the organisation grows. Eligibility Applicants must be based in the UK, have the right to work in the UK, have continuously resided in the UK for the previous five years and be able to complete relevant pre-employment screening.
Nov 01, 2026
Full time
Lead Data Engineer Remote UK - £110,000 + Share Options + Private Medical Insurance A high-growth, venture-backed AI technology company is looking for a Lead Data Engineer to play a pivotal role in shaping the future of its data, analytics and AI capabilities. This is an opportunity to join an innovative organisation delivering cutting-edge AI-powered solutions to major enterprise clients, helping transform complex data into meaningful business intelligence. The Opportunity This is a senior, hands-on position offering significant technical ownership and influence. Working closely with product, engineering, data science and leadership teams, you'll design and build scalable data platforms that power advanced analytics, machine learning, decision intelligence and emerging AI technologies. As the business continues to grow, there will be the opportunity to help build and lead a wider data function. Key Responsibilities Design, build and maintain scalable data platforms and pipelines. Develop Data-as-a-Service capabilities across products and customer solutions. Create trusted analytics, reporting and business intelligence solutions. Design and manage secure, reliable data services and APIs. Build data infrastructure supporting machine learning, statistical models and AI systems. Establish best practices for data quality, governance, lineage, metadata and observability. Embed security, privacy and compliance into data architecture and engineering processes. Collaborate across technical and commercial teams to influence data strategy and architecture. Required Experience Strong hands-on experience building and operating production-grade data platforms. Expertise in data architecture, ETL/ELT pipelines, data modelling and orchestration. Experience working with large-scale or complex datasets. Background delivering analytics and business intelligence solutions. Experience designing secure data services and APIs. Knowledge of machine learning data foundations and modern AI-enablement practices. Strong understanding of statistics, experimentation and data-driven decision making. Experience working within enterprise or highly regulated environments. Passion for engineering excellence, security, quality and continuous improvement. AWS data and analytics ecosystem What's on Offer? Salary of £110,000. Share options. Private medical insurance. Fully remote UK-based working. High levels of autonomy and technical ownership. Opportunity to shape the future direction of data and AI within a rapidly scaling technology business. Clear progression into leadership as the organisation grows. Eligibility Applicants must be based in the UK, have the right to work in the UK, have continuously resided in the UK for the previous five years and be able to complete relevant pre-employment screening.
Lead Data Engineer Remote UK - £110,000 + Share Options + Private Medical Insurance A high-growth, venture-backed AI technology company is looking for a Lead Data Engineer to play a pivotal role in shaping the future of its data, analytics and AI capabilities. This is an opportunity to join an innovative organisation delivering cutting-edge AI-powered solutions to major enterprise clients, helping transform complex data into meaningful business intelligence. The Opportunity This is a senior, hands-on position offering significant technical ownership and influence. Working closely with product, engineering, data science and leadership teams, you'll design and build scalable data platforms that power advanced analytics, machine learning, decision intelligence and emerging AI technologies. As the business continues to grow, there will be the opportunity to help build and lead a wider data function. Key Responsibilities Design, build and maintain scalable data platforms and pipelines. Develop Data-as-a-Service capabilities across products and customer solutions. Create trusted analytics, reporting and business intelligence solutions. Design and manage secure, reliable data services and APIs. Build data infrastructure supporting machine learning, statistical models and AI systems. Establish best practices for data quality, governance, lineage, metadata and observability. Embed security, privacy and compliance into data architecture and engineering processes. Collaborate across technical and commercial teams to influence data strategy and architecture. Required Experience Strong hands-on experience building and operating production-grade data platforms. Expertise in data architecture, ETL/ELT pipelines, data modelling and orchestration. Experience working with large-scale or complex datasets. Background delivering analytics and business intelligence solutions. Experience designing secure data services and APIs. Knowledge of machine learning data foundations and modern AI-enablement practices. Strong understanding of statistics, experimentation and data-driven decision making. Experience working within enterprise or highly regulated environments. Passion for engineering excellence, security, quality and continuous improvement. AWS data and analytics ecosystem What's on Offer? Salary of £110,000. Share options. Private medical insurance. Fully remote UK-based working. High levels of autonomy and technical ownership. Opportunity to shape the future direction of data and AI within a rapidly scaling technology business. Clear progression into leadership as the organisation grows. Eligibility Applicants must be based in the UK, have the right to work in the UK, have continuously resided in the UK for the previous five years and be able to complete relevant pre-employment screening.
Nov 01, 2026
Full time
Lead Data Engineer Remote UK - £110,000 + Share Options + Private Medical Insurance A high-growth, venture-backed AI technology company is looking for a Lead Data Engineer to play a pivotal role in shaping the future of its data, analytics and AI capabilities. This is an opportunity to join an innovative organisation delivering cutting-edge AI-powered solutions to major enterprise clients, helping transform complex data into meaningful business intelligence. The Opportunity This is a senior, hands-on position offering significant technical ownership and influence. Working closely with product, engineering, data science and leadership teams, you'll design and build scalable data platforms that power advanced analytics, machine learning, decision intelligence and emerging AI technologies. As the business continues to grow, there will be the opportunity to help build and lead a wider data function. Key Responsibilities Design, build and maintain scalable data platforms and pipelines. Develop Data-as-a-Service capabilities across products and customer solutions. Create trusted analytics, reporting and business intelligence solutions. Design and manage secure, reliable data services and APIs. Build data infrastructure supporting machine learning, statistical models and AI systems. Establish best practices for data quality, governance, lineage, metadata and observability. Embed security, privacy and compliance into data architecture and engineering processes. Collaborate across technical and commercial teams to influence data strategy and architecture. Required Experience Strong hands-on experience building and operating production-grade data platforms. Expertise in data architecture, ETL/ELT pipelines, data modelling and orchestration. Experience working with large-scale or complex datasets. Background delivering analytics and business intelligence solutions. Experience designing secure data services and APIs. Knowledge of machine learning data foundations and modern AI-enablement practices. Strong understanding of statistics, experimentation and data-driven decision making. Experience working within enterprise or highly regulated environments. Passion for engineering excellence, security, quality and continuous improvement. AWS data and analytics ecosystem What's on Offer? Salary of £110,000. Share options. Private medical insurance. Fully remote UK-based working. High levels of autonomy and technical ownership. Opportunity to shape the future direction of data and AI within a rapidly scaling technology business. Clear progression into leadership as the organisation grows. Eligibility Applicants must be based in the UK, have the right to work in the UK, have continuously resided in the UK for the previous five years and be able to complete relevant pre-employment screening.
