Define the global AI & Intelligent Automation strategy, fully aligned with enterprise digital transformation and innovation goals. Establish governance frameworks for AI ethics, model transparency, and Responsible AI, ensuring adherence to regulatory and risk requirements (e.g., NIST AI RMF, EU AI Act). Serve as the senior executive sponsor for AI architecture, operating model design, and enterprise adoption roadmap. Enterprise AI & GenAI Ecosystem (not exhaustive or limiting) Oversee the design and deployment of enterprise grade AI solutions using Python, .NET, and cloud native MLOps pipelines. Direct teams working with advanced frameworks such as PyTorch, TensorFlow, Hugging Face, ONNX Runtime, and LangChain, along with orchestration tools including Semantic Kernel, LangGraph, and CrewAI. Drive responsible integration of Large Language Models (LLMs) from OpenAI, Anthropic, Google Gemini, and Mistral, including deployment through Azure OpenAI Service or Vertex AI. Implement RAG architectures and manage vector databases (Pinecone, Weaviate, FAISS, Milvus) to power enterprise knowledge intelligence platforms. Lead the evolution of the enterprise data landscape using modern platforms such as Databricks, Snowflake, Azure Synapse, and BigQuery. Oversee data engineering with Apache Airflow, dbt, and Prefect, ensuring performance, governance, and alignment with enterprise metadata standards (Collibra, Alation, Microsoft Purview). Drive adoption of Delta Lake, Iceberg, and Hudi to support scalable data lakehouse architectures. Ensure high quality, compliant, and reliable data foundations for ML and analytics workloads. Cloud, Infrastructure & MLOps Champion multi cloud architecture across Azure, AWS, and GCP. Ensure resilient, secure, and cost efficient deployments using Docker, Kubernetes (AKS/EKS/GKE), and Terraform/Bicep. Lead enterprise MLOps capabilities using Azure ML, SageMaker, Vertex AI, MLflow, and Kubeflow, integrated with CI/CD (GitHub Actions, Azure DevOps, Jenkins, Argo CD). Oversee observability and monitoring using Prometheus, Grafana, ELK/EFK, and OpenTelemetry. Enterprise Integration with .NET Ecosystems Guide the integration of AI/ML pipelines into enterprise scale .NET Core applications and service oriented architectures. Modernize legacy systems through microservices, REST/gRPC APIs, and event driven architectures (Azure Service Bus, Kafka). Implement secure DevSecOps practices-SonarQube, Checkmarx, Vault, Azure API Management-in line with enterprise compliance standards. Drive end to end intelligent automation initiatives using Power Automate, Blue Prism, and Automation Anywhere. Integrate cognitive services (Azure Cognitive Services, AWS Comprehend, Form Recognizer, Speech/Translation APIs) to enhance workflow intelligence. Lead enterprise process mining using Celonis, Power BI Process Mining, and ProcessGold. Oversee integration of analytics and AI capabilities to deliver measurable business impact. Advance analytics maturity using Power BI, Looker, and Azure Analysis Services. Promote predictive and optimisation modelling using PyCaret, Prophet, and Optuna to strengthen data driven decision making. Security, Compliance & Responsible AI Ensure alignment with enterprise security frameworks (SOC2, ISO27001, NIST). Oversee identity and access management via Azure AD, OAuth2, OpenID Connect, and enterprise IAM systems. Champion ethical AI practices, including bias detection, explainability, and responsible use frameworks such as the Azure Responsible AI Dashboard. Build and lead high performing global teams across data science, engineering, and automation. Foster a culture of innovation, continuous learning, and responsible experimentation. Engage with the broader AI ecosystem-including academia, hyperscalers, and startups-to identify emerging technologies and partnership opportunities. Preferred Background Proven experience integrating Python based AI with enterprise .NET ecosystems. Deep expertise across multi cloud environments, data governance, and enterprise grade DevSecOps. Demonstrated success delivering large scale transformation programs with measurable ROI. Strong executive presence with exceptional communication and stakeholder management skills.
Mar 03, 2026
Full time
Define the global AI & Intelligent Automation strategy, fully aligned with enterprise digital transformation and innovation goals. Establish governance frameworks for AI ethics, model transparency, and Responsible AI, ensuring adherence to regulatory and risk requirements (e.g., NIST AI RMF, EU AI Act). Serve as the senior executive sponsor for AI architecture, operating model design, and enterprise adoption roadmap. Enterprise AI & GenAI Ecosystem (not exhaustive or limiting) Oversee the design and deployment of enterprise grade AI solutions using Python, .NET, and cloud native MLOps pipelines. Direct teams working with advanced frameworks such as PyTorch, TensorFlow, Hugging Face, ONNX Runtime, and LangChain, along with orchestration tools including Semantic Kernel, LangGraph, and CrewAI. Drive responsible integration of Large Language Models (LLMs) from OpenAI, Anthropic, Google Gemini, and Mistral, including deployment through Azure OpenAI Service or Vertex AI. Implement RAG architectures and manage vector databases (Pinecone, Weaviate, FAISS, Milvus) to power enterprise knowledge intelligence platforms. Lead the evolution of the enterprise data landscape using modern platforms such as Databricks, Snowflake, Azure Synapse, and BigQuery. Oversee data engineering with Apache Airflow, dbt, and Prefect, ensuring performance, governance, and alignment with enterprise metadata standards (Collibra, Alation, Microsoft Purview). Drive adoption of Delta Lake, Iceberg, and Hudi to support scalable data lakehouse architectures. Ensure high quality, compliant, and reliable data foundations for ML and analytics workloads. Cloud, Infrastructure & MLOps Champion multi cloud architecture across Azure, AWS, and GCP. Ensure resilient, secure, and cost efficient deployments using Docker, Kubernetes (AKS/EKS/GKE), and Terraform/Bicep. Lead enterprise MLOps capabilities using Azure ML, SageMaker, Vertex AI, MLflow, and Kubeflow, integrated with CI/CD (GitHub Actions, Azure DevOps, Jenkins, Argo CD). Oversee observability and monitoring using Prometheus, Grafana, ELK/EFK, and OpenTelemetry. Enterprise Integration with .NET Ecosystems Guide the integration of AI/ML pipelines into enterprise scale .NET Core applications and service oriented architectures. Modernize legacy systems through microservices, REST/gRPC APIs, and event driven architectures (Azure Service Bus, Kafka). Implement secure DevSecOps practices-SonarQube, Checkmarx, Vault, Azure API Management-in line with enterprise compliance standards. Drive end to end intelligent automation initiatives using Power Automate, Blue Prism, and Automation Anywhere. Integrate cognitive services (Azure Cognitive Services, AWS Comprehend, Form Recognizer, Speech/Translation APIs) to enhance workflow intelligence. Lead enterprise process mining using Celonis, Power BI Process Mining, and ProcessGold. Oversee integration of analytics and AI capabilities to deliver measurable business impact. Advance analytics maturity using Power BI, Looker, and Azure Analysis Services. Promote predictive and optimisation modelling using PyCaret, Prophet, and Optuna to strengthen data driven decision making. Security, Compliance & Responsible AI Ensure alignment with enterprise security frameworks (SOC2, ISO27001, NIST). Oversee identity and access management via Azure AD, OAuth2, OpenID Connect, and enterprise IAM systems. Champion ethical AI practices, including bias detection, explainability, and responsible use frameworks such as the Azure Responsible AI Dashboard. Build and lead high performing global teams across data science, engineering, and automation. Foster a culture of innovation, continuous learning, and responsible experimentation. Engage with the broader AI ecosystem-including academia, hyperscalers, and startups-to identify emerging technologies and partnership opportunities. Preferred Background Proven experience integrating Python based AI with enterprise .NET ecosystems. Deep expertise across multi cloud environments, data governance, and enterprise grade DevSecOps. Demonstrated success delivering large scale transformation programs with measurable ROI. Strong executive presence with exceptional communication and stakeholder management skills.
A fintech company in the United Kingdom is seeking a Senior Data Architect to design and implement a scalable, cloud-based data warehouse. This role involves building automated ETL/ELT pipelines and establishing data governance standards. The ideal candidate should have at least 4 years of experience in data engineering, expertise in data warehouse technologies such as Snowflake or BigQuery, and proficiency in SQL. Strong knowledge of cloud platforms is also required, alongside the ability to contribute to data-driven decision-making.
Mar 02, 2026
Full time
A fintech company in the United Kingdom is seeking a Senior Data Architect to design and implement a scalable, cloud-based data warehouse. This role involves building automated ETL/ELT pipelines and establishing data governance standards. The ideal candidate should have at least 4 years of experience in data engineering, expertise in data warehouse technologies such as Snowflake or BigQuery, and proficiency in SQL. Strong knowledge of cloud platforms is also required, alongside the ability to contribute to data-driven decision-making.
Data Engineer - TV Advertising Data (FAST) Location: London - 3 days onsite Salary 75,000 - 85,000 Neg DOE Reference : J13057 Note: Full and current UK working rights required for this role We're currently seeking a Data Engineer to build the foundations behind the rapidly growing FAST (Free Ad Supports Streaming TV channels) A pioneering opportunity to be involved with direct to consumer advertising for a Global player in the field. Someone who is passionate about how data drives the industry and to help optimise campaigns, measure performance, and monetise content. Key Responsibilities Design, build, and maintain scalable ETL/ELT pipelines that transform raw data into reliable, analytics-ready datasets Ingest, integrate, and manage new data sources across advertising, audience, platform, and content data within Microsoft Fabric environment Deliver robust data flows that underpin global FAST dashboards, monetisation insights, and audience viewing metrics Work closely with the central Data & Analytics team to enable high-quality Power BI reporting and analysis Ensure strong data governance, integrity, and security across the Azure/Fabric ecosystem Optimise data pipelines for performance, scalability, and efficiency, following best-practice engineering standards including version control and code reviews Monitor pipeline health, data freshness, and quality, implementing proactive alerting and issue resolution Translate business and analytical needs into well-structured data models and technical solutions Automate data workflows to minimise manual processes and improve operational reliability Maintain clear documentation of pipelines, datasets, and data flows to support collaboration and smooth handovers Stay current with data engineering best practices, particularly within the Microsoft technology stack Skills & Experience 5+ years' experience working as a Data Engineer or in a similar role Proven experience with cloud-based data platforms (Azure, AWS, SQL, Snowflake, Springserv); Strong proficiency in Spark SQL and PySpark, including complex transformations Experience building ETL/ELT pipelines using tools such as Azure Data Factory or equivalent Ability to write efficient, reusable scripts for transformation, validation, and automation Hands-on experience integrating data from APIs (REST, JSON), including automated data collection Solid understanding of data modelling best practices for analytics and dashboards Confidence working with large, complex datasets across multiple formats (CSV, JSON, Parquet, databases, APIs) Strong problem-solving skills and the ability to diagnose and resolve data issues Excellent communication skills and experience working with cross-functional teams Genuine curiosity about how data drives content performance, audience behaviour, and monetisation If this sounds like the role for you then please apply today!
Feb 28, 2026
Full time
Data Engineer - TV Advertising Data (FAST) Location: London - 3 days onsite Salary 75,000 - 85,000 Neg DOE Reference : J13057 Note: Full and current UK working rights required for this role We're currently seeking a Data Engineer to build the foundations behind the rapidly growing FAST (Free Ad Supports Streaming TV channels) A pioneering opportunity to be involved with direct to consumer advertising for a Global player in the field. Someone who is passionate about how data drives the industry and to help optimise campaigns, measure performance, and monetise content. Key Responsibilities Design, build, and maintain scalable ETL/ELT pipelines that transform raw data into reliable, analytics-ready datasets Ingest, integrate, and manage new data sources across advertising, audience, platform, and content data within Microsoft Fabric environment Deliver robust data flows that underpin global FAST dashboards, monetisation insights, and audience viewing metrics Work closely with the central Data & Analytics team to enable high-quality Power BI reporting and analysis Ensure strong data governance, integrity, and security across the Azure/Fabric ecosystem Optimise data pipelines for performance, scalability, and efficiency, following best-practice engineering standards including version control and code reviews Monitor pipeline health, data freshness, and quality, implementing proactive alerting and issue resolution Translate business and analytical needs into well-structured data models and technical solutions Automate data workflows to minimise manual processes and improve operational reliability Maintain clear documentation of pipelines, datasets, and data flows to support collaboration and smooth handovers Stay current with data engineering best practices, particularly within the Microsoft technology stack Skills & Experience 5+ years' experience working as a Data Engineer or in a similar role Proven experience with cloud-based data platforms (Azure, AWS, SQL, Snowflake, Springserv); Strong proficiency in Spark SQL and PySpark, including complex transformations Experience building ETL/ELT pipelines using tools such as Azure Data Factory or equivalent Ability to write efficient, reusable scripts for transformation, validation, and automation Hands-on experience integrating data from APIs (REST, JSON), including automated data collection Solid understanding of data modelling best practices for analytics and dashboards Confidence working with large, complex datasets across multiple formats (CSV, JSON, Parquet, databases, APIs) Strong problem-solving skills and the ability to diagnose and resolve data issues Excellent communication skills and experience working with cross-functional teams Genuine curiosity about how data drives content performance, audience behaviour, and monetisation If this sounds like the role for you then please apply today!
Data Science Manager page is loaded Data Science Managerremote type: Hybridlocations: Belfast - 20 Adelaide Streetposted on: Posted Todayjob requisition id: JR-Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future. Join our team as the expert you are now and create your future. Data Science Manager We're seeking a Data Science Manager to join the Data Science & Machine Learning team in our Commercial Digital practice, where you'll lead advanced analytics initiatives that transform how Fortune 500 companies make decisions across Financial Services, Manufacturing, Energy & Utilities, and other commercial industries.Managers play a vibrant, integral role at Huron. Their invaluable knowledge reflects in the projects they manage and the teams they lead. Known for building long-standing partnerships with clients, they collaborate with colleagues to solve their most important challenges. Our Managers also spend significant time mentoring junior staff on the engagement team-sharing expertise, feedback, and encouragement. This promotes a culture of respect, unity, collaboration, and personal achievement.This isn't a reporting role or a dashboard factory-you'll own the full analytics lifecycle from hypothesis formulation through insight delivery, while leading and developing a team of data scientists and analysts. You'll work on problems that matter: experimental designs that validate multi-million-dollar strategies, predictive models that surface hidden patterns in complex data, and deep learning pipelines that extract signal from unstructured text, images, and time-series. Our clients are Fortune 500 companies looking for partners who can find the signal in the noise and tell the story that drives action.The variety is real. In your first year, you might lead a customer segmentation and lifetime value analysis for a financial services firm, design and analyze a pricing experiment for a global manufacturer, and build an agentic anomaly detection system for a utility company's operational data-all while developing the next generation of data science talent at Huron. If you thrive on rigorous analysis, clear communication of complex findings, and building high-performing teams, this role is for you.# What You'll Do Lead and mentor junior data scientists and analysts -provide technical guidance, review analytical approaches and code, and support professional development. Foster a culture of intellectual curiosity, rigorous methodology, and clear communication within the team. Manage complex multi-workstream analytics projects -oversee project planning, resource allocation, and delivery timelines. Ensure analyses meet quality standards and client expectations while maintaining methodological rigor. Design and execute end-to-end data science workflows -from problem framing and hypothesis development through exploratory analysis, modeling, validation, and insight delivery. Own the analytical approach and ensure conclusions are defensible. Lead development of both traditional statistical and modern AI-powered analyses -including regression, classification, clustering, causal inference, A/B testing, and modern deep learning approaches using embeddings, transformer architectures, and foundation models for text, time-series, and multimodal analysis. Build predictive and prescriptive models that drive business decisions-customer segmentation, churn prediction, demand forecasting, pricing optimization, risk scoring, and operational efficiency analysis for commercial enterprises. Translate complex analytical findings into actionable insights -create compelling data narratives, develop executive-ready presentations, and communicate technical results to non-technical stakeholders in ways that drive decisions. Serve as a trusted advisor to clients -build long-standing partnerships, deeply understand business problems, formulate the right analytical questions, and deliver insights that create measurable value. Contribute to practice development -participate in business development activities, develop reusable analytical frameworks and methodologies, and help shape the technical direction of Huron's DSML capabilities.# Required Qualifications 5+ years of hands-on experience conducting data science and advanced analytics -not just ad-hoc analysis, but structured analytical projects that drove business decisions. You've framed problems, developed hypotheses, analyzed data, and delivered insights that created measurable impact. Experience leading and developing technical teams -including coaching, mentorship, methodology review, and performance management. Demonstrated ability to build high-performing teams and develop junior talent. Strong Python and SQL programming skills with deep experience in the data science ecosystem (Pandas, NumPy, Scikit-learn, statsmodels, visualization libraries). Comfortable writing production-quality code, not just notebooks. Solid foundation in statistics and machine learning : hypothesis testing, regression analysis, classification, clustering, experimental design, causal inference, and understanding of when different approaches are appropriate for different questions. Experience with deep learning and modern neural architectures -understanding of transformer models, embeddings, transfer learning, and how to leverage foundation models for analytical tasks. You know when ML approaches add value over classical methods, and how to integrate them into rigorous analytical workflows. Proficiency with data platforms : Microsoft Fabric, Snowflake, Databricks, or similar cloud analytics environments. You're comfortable working with large datasets and can optimize queries for performance. Exceptional communication and data storytelling skills -ability to distill complex analyses into clear narratives, create compelling visualizations, lead client meetings, and build trusted relationships with executive audiences. This is non-negotiable. Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field (or equivalent practical experience). Flexibility to work in a hybrid model with periodic travel to client sites as needed.# Preferred Qualifications Experience in Financial Services, Manufacturing, or Energy & Utilities industries. Background in experimental design, A/B testing, and causal inference methodologies-including propensity score matching, difference-in-differences, or instrumental variables. Hands-on experience with deep learning frameworks (PyTorch, TensorFlow) and neural architectures-including transformers, attention mechanisms, and fine-tuning pretrained models for NLP, time-series, or tabular data applications. Experience building AI-assisted analytical workflows-leveraging foundation model APIs, vector databases, and retrieval systems to accelerate insight extraction from unstructured data. Experience with Bayesian methods, probabilistic programming (PyMC, NumPyro, etc.), or uncertainty quantification in business contexts. Strong visualization and data interface design and development skills using programmatic visualization libraries (Plotly, Altair, D3). Proficiency with AI-assisted rapid data application development using Cursor, Lovable, v0, etc. Experience with time-series analysis, forecasting methods (ARIMA, Prophet, neural forecasting), and demand planning applications. Cloud certifications (Azure Data Scientist, Databricks ML Associate, AWS ML Specialty). Consulting experience or demonstrated ability to work across multiple domains and adapt quickly to new
Feb 28, 2026
Full time
Data Science Manager page is loaded Data Science Managerremote type: Hybridlocations: Belfast - 20 Adelaide Streetposted on: Posted Todayjob requisition id: JR-Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future. Join our team as the expert you are now and create your future. Data Science Manager We're seeking a Data Science Manager to join the Data Science & Machine Learning team in our Commercial Digital practice, where you'll lead advanced analytics initiatives that transform how Fortune 500 companies make decisions across Financial Services, Manufacturing, Energy & Utilities, and other commercial industries.Managers play a vibrant, integral role at Huron. Their invaluable knowledge reflects in the projects they manage and the teams they lead. Known for building long-standing partnerships with clients, they collaborate with colleagues to solve their most important challenges. Our Managers also spend significant time mentoring junior staff on the engagement team-sharing expertise, feedback, and encouragement. This promotes a culture of respect, unity, collaboration, and personal achievement.This isn't a reporting role or a dashboard factory-you'll own the full analytics lifecycle from hypothesis formulation through insight delivery, while leading and developing a team of data scientists and analysts. You'll work on problems that matter: experimental designs that validate multi-million-dollar strategies, predictive models that surface hidden patterns in complex data, and deep learning pipelines that extract signal from unstructured text, images, and time-series. Our clients are Fortune 500 companies looking for partners who can find the signal in the noise and tell the story that drives action.The variety is real. In your first year, you might lead a customer segmentation and lifetime value analysis for a financial services firm, design and analyze a pricing experiment for a global manufacturer, and build an agentic anomaly detection system for a utility company's operational data-all while developing the next generation of data science talent at Huron. If you thrive on rigorous analysis, clear communication of complex findings, and building high-performing teams, this role is for you.# What You'll Do Lead and mentor junior data scientists and analysts -provide technical guidance, review analytical approaches and code, and support professional development. Foster a culture of intellectual curiosity, rigorous methodology, and clear communication within the team. Manage complex multi-workstream analytics projects -oversee project planning, resource allocation, and delivery timelines. Ensure analyses meet quality standards and client expectations while maintaining methodological rigor. Design and execute end-to-end data science workflows -from problem framing and hypothesis development through exploratory analysis, modeling, validation, and insight delivery. Own the analytical approach and ensure conclusions are defensible. Lead development of both traditional statistical and modern AI-powered analyses -including regression, classification, clustering, causal inference, A/B testing, and modern deep learning approaches using embeddings, transformer architectures, and foundation models for text, time-series, and multimodal analysis. Build predictive and prescriptive models that drive business decisions-customer segmentation, churn prediction, demand forecasting, pricing optimization, risk scoring, and operational efficiency analysis for commercial enterprises. Translate complex analytical findings into actionable insights -create compelling data narratives, develop executive-ready presentations, and communicate technical results to non-technical stakeholders in ways that drive decisions. Serve as a trusted advisor to clients -build long-standing partnerships, deeply understand business problems, formulate the right analytical questions, and deliver insights that create measurable value. Contribute to practice development -participate in business development activities, develop reusable analytical frameworks and methodologies, and help shape the technical direction of Huron's DSML capabilities.# Required Qualifications 5+ years of hands-on experience conducting data science and advanced analytics -not just ad-hoc analysis, but structured analytical projects that drove business decisions. You've framed problems, developed hypotheses, analyzed data, and delivered insights that created measurable impact. Experience leading and developing technical teams -including coaching, mentorship, methodology review, and performance management. Demonstrated ability to build high-performing teams and develop junior talent. Strong Python and SQL programming skills with deep experience in the data science ecosystem (Pandas, NumPy, Scikit-learn, statsmodels, visualization libraries). Comfortable writing production-quality code, not just notebooks. Solid foundation in statistics and machine learning : hypothesis testing, regression analysis, classification, clustering, experimental design, causal inference, and understanding of when different approaches are appropriate for different questions. Experience with deep learning and modern neural architectures -understanding of transformer models, embeddings, transfer learning, and how to leverage foundation models for analytical tasks. You know when ML approaches add value over classical methods, and how to integrate them into rigorous analytical workflows. Proficiency with data platforms : Microsoft Fabric, Snowflake, Databricks, or similar cloud analytics environments. You're comfortable working with large datasets and can optimize queries for performance. Exceptional communication and data storytelling skills -ability to distill complex analyses into clear narratives, create compelling visualizations, lead client meetings, and build trusted relationships with executive audiences. This is non-negotiable. Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field (or equivalent practical experience). Flexibility to work in a hybrid model with periodic travel to client sites as needed.# Preferred Qualifications Experience in Financial Services, Manufacturing, or Energy & Utilities industries. Background in experimental design, A/B testing, and causal inference methodologies-including propensity score matching, difference-in-differences, or instrumental variables. Hands-on experience with deep learning frameworks (PyTorch, TensorFlow) and neural architectures-including transformers, attention mechanisms, and fine-tuning pretrained models for NLP, time-series, or tabular data applications. Experience building AI-assisted analytical workflows-leveraging foundation model APIs, vector databases, and retrieval systems to accelerate insight extraction from unstructured data. Experience with Bayesian methods, probabilistic programming (PyMC, NumPyro, etc.), or uncertainty quantification in business contexts. Strong visualization and data interface design and development skills using programmatic visualization libraries (Plotly, Altair, D3). Proficiency with AI-assisted rapid data application development using Cursor, Lovable, v0, etc. Experience with time-series analysis, forecasting methods (ARIMA, Prophet, neural forecasting), and demand planning applications. Cloud certifications (Azure Data Scientist, Databricks ML Associate, AWS ML Specialty). Consulting experience or demonstrated ability to work across multiple domains and adapt quickly to new
Lead Full Stack Developer (TypeScript, Vue, Node) Location: Hybrid - 1 day per week onsite Salary: 90,000 - 100,000 + benefits We're working with a fast-growing UK SaaS technology company that builds data-driven digital products used by commercial teams to better understand and engage with their customers. They are now looking for an experienced Technical Lead Full Stack Developer to play a key role in shaping and delivering their next generation of customer-facing platforms. This is a hands-on technical leadership role where you'll be involved from early design through to production delivery, working with a modern cloud-based stack and deploying to live environments on a daily basis. The Role Lead technical delivery across a high-performing development squad (10+) Contribute to solution design, system architecture and domain modelling Build proof-of-concepts and spike complex or uncertain areas of work Break down requirements into deliverable epics and user stories alongside product and initiative managers Develop and deliver production-ready code across the full stack Ensure high standards of quality, maintainability, performance and security Support and improve live systems once deployed Influence technical direction, tooling and best practice across the wider engineering function Tech Environment You'll work with a modern stack including: TypeScript Node.js microservices Vue.js Redis, SQL Server & Snowflake AWS cloud infrastructure CI/CD pipelines and DevSecOps practices About You Strong full stack development experience (ideally 10+ years) 5+ years of TypeScript experience Solid Node.js Experience Background in system design and scalable architectures Experience building large, production SaaS platforms A clean-code mindset (SOLID principles, design patterns, testable code) Experience working in mature CI/CD and continuous deployment environments A commercial mindset when designing and delivering software Excellent collaboration skills and confidence working with stakeholders Interest in using AI to accelerate and improve software development A passion for performance, security and engineering best practice Degree in Computer Science or equivalent real-world experience What's On Offer Hybrid working (1 day per week in the office) Opportunity to join a scaling UK SaaS business Strong engineering culture with a focus on quality and continuous improvement Supportive, collaborative working environment Community and charity initiatives, including volunteer days Interested in learning more? Apply now or contact us for a confidential discussion about the role and company - (url removed) Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Feb 28, 2026
Full time
Lead Full Stack Developer (TypeScript, Vue, Node) Location: Hybrid - 1 day per week onsite Salary: 90,000 - 100,000 + benefits We're working with a fast-growing UK SaaS technology company that builds data-driven digital products used by commercial teams to better understand and engage with their customers. They are now looking for an experienced Technical Lead Full Stack Developer to play a key role in shaping and delivering their next generation of customer-facing platforms. This is a hands-on technical leadership role where you'll be involved from early design through to production delivery, working with a modern cloud-based stack and deploying to live environments on a daily basis. The Role Lead technical delivery across a high-performing development squad (10+) Contribute to solution design, system architecture and domain modelling Build proof-of-concepts and spike complex or uncertain areas of work Break down requirements into deliverable epics and user stories alongside product and initiative managers Develop and deliver production-ready code across the full stack Ensure high standards of quality, maintainability, performance and security Support and improve live systems once deployed Influence technical direction, tooling and best practice across the wider engineering function Tech Environment You'll work with a modern stack including: TypeScript Node.js microservices Vue.js Redis, SQL Server & Snowflake AWS cloud infrastructure CI/CD pipelines and DevSecOps practices About You Strong full stack development experience (ideally 10+ years) 5+ years of TypeScript experience Solid Node.js Experience Background in system design and scalable architectures Experience building large, production SaaS platforms A clean-code mindset (SOLID principles, design patterns, testable code) Experience working in mature CI/CD and continuous deployment environments A commercial mindset when designing and delivering software Excellent collaboration skills and confidence working with stakeholders Interest in using AI to accelerate and improve software development A passion for performance, security and engineering best practice Degree in Computer Science or equivalent real-world experience What's On Offer Hybrid working (1 day per week in the office) Opportunity to join a scaling UK SaaS business Strong engineering culture with a focus on quality and continuous improvement Supportive, collaborative working environment Community and charity initiatives, including volunteer days Interested in learning more? Apply now or contact us for a confidential discussion about the role and company - (url removed) Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Ready to shape the future of data? Matillion is the intelligent data integration platform. We're changing how the world works with data - and we need driven, curious people who think big and move fast. We built the Data Productivity Cloud to supercharge data productivity, and now we're shaping the future of data engineering with Maia - our AI-powered virtual data engineers that help teams design, build, and manage data pipelines at unmatched speed. Join , where the mission comes first, collaboration drives us forward, and everyone pulls in the same direction to make a dent in the universe bigger than ourselves. Matillion is scaling rapidly, and we are looking for a Senior Solution Architect to join during this period of exciting expansion. This is a high-impact role centered on securing the technical win and maximizing value for our prospective enterprise customers. We are looking for a consultative technical expert who can own the pre sales lifecycle-from qualifying complex use cases and managing high stakes software trials to demonstrating exactly how Matillion's platform solves mission critical data challenges. You won't just be "demoing" software; you'll be driving measurable business value and fostering the long term relationships that underpin our growth. Sales & Validation Cycle Diagnose & Map: Identify technical and business pain points, confirm root causes, and map the desired future state to specific success metrics and business outcomes. Tailored Proofs: Build and deliver customized demos and lead workshops, trials, or POCs that validate the solution's fit while positioning competitive advantages. Technical Alignment: Support digital sales rooms and credit sizing estimates, ensuring technical teams and sales strategies are perfectly aligned. Post Sales Onboarding & Growth Adoption & Value: Cultivate "trusted advisor" relationships to set up infrastructure, monitor adoption dashboards, and ensure customers rapidly achieve their first "win." Engagement & Cadence: Actively lead business reviews and customer cadences to ensure platform adoption remains high and technical issues are resolved proactively. Strategic Expansion: Identify opportunities for upselling and expansion by moving the customer into new workloads and groups, ensuring they realize maximum ROI Strategy, Product, & Brand Technical Evangelism: Represent the brand as an expert at industry events and create technical content or case studies that showcase real world problem solving. Product Feedback Loop: Collect customer insights and relay them to Product and Engineering teams to drive continuous improvement and market alignment. Market Intelligence: Stay ahead of industry trends in cloud computing and data transformation, sharing that knowledge internally and with customers to maintain a competitive edge. Must haves: 5-7 years working with Enterprise customers in a technical role, such as Solution Architect, Sales Engineer, or similar Strong experience in solution selling, demonstrating value through tailored software presentations and overcoming technical objections. Experience using and preferably selling AI and agentic AI solutions (Claude, ChatGPT, Cursor, n8n) Expertise in cloud computing platforms such as AWS, Azure, or GCP and experience with Cloud Data Platforms like Snowflake and Databricks. In depth understanding of relational databases (PostgreSQL, MySQL, Oracle, SQL Server) and NoSQL databases (MongoDB, Cassandra, DynamoDB). Hands on experience with technical problem solving and integration technologies (APIs, Linux, SQL). Excellent communication and presentation skills, with the ability to engage both technical and non technical stakeholders. Good to haves: Knowledge of with Matillion's Data Productivity Cloud or Matillion ETL platforms as well as competitive ETL solutions Experience with value based sales motion, especially through MEDDPPICC and Command of the Message Knowledge of big data technologies (Spark, PySpark), data lakes, and MPP databases (Teradata, Vertica, Netezza) Familiarity with version control tools such as Git, and experience with Python Degree in Computer Science or related field (or equivalent practical experience) Experience using Salesforce At Matillion, we are committed to providing compensation in line with market standards based on the role, job family, job level, and country. This role's estimated annual salaried pay range for this position is £71,680 - £107,520. Because this role is eligible for variable pay in the form of sales commissions, your total annual on target annual earnings will be between £102,400 - £153,600. The final salary will be based on your relevant skills, experience, and qualifications demonstrated in the hiring process. At Matillion, we're here to do something hard - change the way the world works with data, and build a great company along the way. Big, bold goals aren't for the faint hearted, and we don't shy away from them. But we don't do it alone. No egos, no politics - just great people working together, guided by our six core values; - Confidence without arrogance - Working with integrity - Customer obsessed - Innovate and demand quality - Bias for action - We care We operate a flexible working culture that promotes work life balance, with benefits including: - Company Equity - 30 days holiday + bank holidays - 5 days paid volunteering leave - Health insurance - Life Insurance - Access to mental health support - Pension More about Matillion Thousands of enterprises including Cisco, London Stock Exchange Group, EDF and Slack trust Matillion for a wide range of use cases from insights and operational analytics, to data science, machine learning and AI. We are a truly global workforce, dual headquartered in Manchester, UK and Denver, Colorado, with expanding offices in Hyderabad, India, along with valuable remote colleagues around the world. We are keen to hear from prospective Matillioners, so even if you don't feel you match all the criteria please apply and a member of our Talent Acquisition team will be in touch. Alternatively, if you're interested in Matillion but don't see a suitable role, please email . Find out more about life on here. Matillion is an equal opportunity employer. We celebrate diversity and we are committed to creating an inclusive environment for all of our team. Matillion prohibits discrimination and harassment of any type. Matillion does not discriminate on the basis of race, colour, religion, age, sex, national origin, disability status, genetics, sexual orientation, gender identity or expression, or any other characteristic protected by law.
Feb 28, 2026
Full time
Ready to shape the future of data? Matillion is the intelligent data integration platform. We're changing how the world works with data - and we need driven, curious people who think big and move fast. We built the Data Productivity Cloud to supercharge data productivity, and now we're shaping the future of data engineering with Maia - our AI-powered virtual data engineers that help teams design, build, and manage data pipelines at unmatched speed. Join , where the mission comes first, collaboration drives us forward, and everyone pulls in the same direction to make a dent in the universe bigger than ourselves. Matillion is scaling rapidly, and we are looking for a Senior Solution Architect to join during this period of exciting expansion. This is a high-impact role centered on securing the technical win and maximizing value for our prospective enterprise customers. We are looking for a consultative technical expert who can own the pre sales lifecycle-from qualifying complex use cases and managing high stakes software trials to demonstrating exactly how Matillion's platform solves mission critical data challenges. You won't just be "demoing" software; you'll be driving measurable business value and fostering the long term relationships that underpin our growth. Sales & Validation Cycle Diagnose & Map: Identify technical and business pain points, confirm root causes, and map the desired future state to specific success metrics and business outcomes. Tailored Proofs: Build and deliver customized demos and lead workshops, trials, or POCs that validate the solution's fit while positioning competitive advantages. Technical Alignment: Support digital sales rooms and credit sizing estimates, ensuring technical teams and sales strategies are perfectly aligned. Post Sales Onboarding & Growth Adoption & Value: Cultivate "trusted advisor" relationships to set up infrastructure, monitor adoption dashboards, and ensure customers rapidly achieve their first "win." Engagement & Cadence: Actively lead business reviews and customer cadences to ensure platform adoption remains high and technical issues are resolved proactively. Strategic Expansion: Identify opportunities for upselling and expansion by moving the customer into new workloads and groups, ensuring they realize maximum ROI Strategy, Product, & Brand Technical Evangelism: Represent the brand as an expert at industry events and create technical content or case studies that showcase real world problem solving. Product Feedback Loop: Collect customer insights and relay them to Product and Engineering teams to drive continuous improvement and market alignment. Market Intelligence: Stay ahead of industry trends in cloud computing and data transformation, sharing that knowledge internally and with customers to maintain a competitive edge. Must haves: 5-7 years working with Enterprise customers in a technical role, such as Solution Architect, Sales Engineer, or similar Strong experience in solution selling, demonstrating value through tailored software presentations and overcoming technical objections. Experience using and preferably selling AI and agentic AI solutions (Claude, ChatGPT, Cursor, n8n) Expertise in cloud computing platforms such as AWS, Azure, or GCP and experience with Cloud Data Platforms like Snowflake and Databricks. In depth understanding of relational databases (PostgreSQL, MySQL, Oracle, SQL Server) and NoSQL databases (MongoDB, Cassandra, DynamoDB). Hands on experience with technical problem solving and integration technologies (APIs, Linux, SQL). Excellent communication and presentation skills, with the ability to engage both technical and non technical stakeholders. Good to haves: Knowledge of with Matillion's Data Productivity Cloud or Matillion ETL platforms as well as competitive ETL solutions Experience with value based sales motion, especially through MEDDPPICC and Command of the Message Knowledge of big data technologies (Spark, PySpark), data lakes, and MPP databases (Teradata, Vertica, Netezza) Familiarity with version control tools such as Git, and experience with Python Degree in Computer Science or related field (or equivalent practical experience) Experience using Salesforce At Matillion, we are committed to providing compensation in line with market standards based on the role, job family, job level, and country. This role's estimated annual salaried pay range for this position is £71,680 - £107,520. Because this role is eligible for variable pay in the form of sales commissions, your total annual on target annual earnings will be between £102,400 - £153,600. The final salary will be based on your relevant skills, experience, and qualifications demonstrated in the hiring process. At Matillion, we're here to do something hard - change the way the world works with data, and build a great company along the way. Big, bold goals aren't for the faint hearted, and we don't shy away from them. But we don't do it alone. No egos, no politics - just great people working together, guided by our six core values; - Confidence without arrogance - Working with integrity - Customer obsessed - Innovate and demand quality - Bias for action - We care We operate a flexible working culture that promotes work life balance, with benefits including: - Company Equity - 30 days holiday + bank holidays - 5 days paid volunteering leave - Health insurance - Life Insurance - Access to mental health support - Pension More about Matillion Thousands of enterprises including Cisco, London Stock Exchange Group, EDF and Slack trust Matillion for a wide range of use cases from insights and operational analytics, to data science, machine learning and AI. We are a truly global workforce, dual headquartered in Manchester, UK and Denver, Colorado, with expanding offices in Hyderabad, India, along with valuable remote colleagues around the world. We are keen to hear from prospective Matillioners, so even if you don't feel you match all the criteria please apply and a member of our Talent Acquisition team will be in touch. Alternatively, if you're interested in Matillion but don't see a suitable role, please email . Find out more about life on here. Matillion is an equal opportunity employer. We celebrate diversity and we are committed to creating an inclusive environment for all of our team. Matillion prohibits discrimination and harassment of any type. Matillion does not discriminate on the basis of race, colour, religion, age, sex, national origin, disability status, genetics, sexual orientation, gender identity or expression, or any other characteristic protected by law.
Lead Data Engineer/Head of Data Permanent On behalf of a fantstic cleint we are resourcing for the following role This is a senior, hands-on technical leadership role reporting directly to the CTO. You'll shape and deliver a modern data and AI platform, lead a small team of data and analytics engineers, and embed machine learning, AI agents, and advanced analytics into real customer workflows. The Role You'll own the end-to-end data and AI capability - from platform architecture through to production ML systems - ensuring data and AI are applied thoughtfully, responsibly, and with clear business impact. What You'll Do Design and evolve a secure, scalable data & AI platform with Snowflake at its core Build production-grade data pipelines, models, and data products for analytics and AI use cases Design, train, and deploy ML models, embeddings, and vector stores to enable AI-driven experiences Lead and mentor a small, high-impact team of data and analytics engineers Partner closely with Product, Engineering, and Infrastructure teams Set standards for data quality, governance, security, and performance Act as a trusted technical advisor to the CTO and senior leadership What We're Looking For Essential Expert-level Snowflake experience (modelling, optimisation, advanced features) Strong Python skills across data engineering, ML, and AI development Proven experience delivering production ML systems Hands-on experience with embeddings, vector databases, and LLM-driven systems Deep understanding of modern data engineering practices (ELT, orchestration, versioning) Nice to Have Background in data science or applied ML Experience building AI agents or intelligent automation Familiarity with cloud-native architectures and MLOps
Feb 28, 2026
Full time
Lead Data Engineer/Head of Data Permanent On behalf of a fantstic cleint we are resourcing for the following role This is a senior, hands-on technical leadership role reporting directly to the CTO. You'll shape and deliver a modern data and AI platform, lead a small team of data and analytics engineers, and embed machine learning, AI agents, and advanced analytics into real customer workflows. The Role You'll own the end-to-end data and AI capability - from platform architecture through to production ML systems - ensuring data and AI are applied thoughtfully, responsibly, and with clear business impact. What You'll Do Design and evolve a secure, scalable data & AI platform with Snowflake at its core Build production-grade data pipelines, models, and data products for analytics and AI use cases Design, train, and deploy ML models, embeddings, and vector stores to enable AI-driven experiences Lead and mentor a small, high-impact team of data and analytics engineers Partner closely with Product, Engineering, and Infrastructure teams Set standards for data quality, governance, security, and performance Act as a trusted technical advisor to the CTO and senior leadership What We're Looking For Essential Expert-level Snowflake experience (modelling, optimisation, advanced features) Strong Python skills across data engineering, ML, and AI development Proven experience delivering production ML systems Hands-on experience with embeddings, vector databases, and LLM-driven systems Deep understanding of modern data engineering practices (ELT, orchestration, versioning) Nice to Have Background in data science or applied ML Experience building AI agents or intelligent automation Familiarity with cloud-native architectures and MLOps
Vice President, Private Credit Investment Analytics Pantheon has been at the forefront of private markets investing for more than 40 years, earning a reputation for an innovative approach to investing in secondaries, co investments, and primary fund investments, as well as capital formation across commingled funds, evergreen vehicles and customized solutions. Pantheon currently manages approximately $82.3 billion in AUM across all its strategies, serving more than 750 institutional and 638 private wealth clients worldwide. The Vice President of Investment Analytics (Private Credit) will lead the development of Pantheon's private credit data and intelligence capability, transforming investment data into structured, decision ready insight for Portfolio Management teams. This role sits at the intersection of Investment, Data & Operations, and will focus on strengthening the firm's ability to generate consistent, comparable, and actionable intelligence from credit portfolio data - across funds, GPs, structures, and geographies. The VP will architect and operate scalable analytical frameworks that standardize how private credit data is defined, sourced, governed, and translated into insight. The role will partner closely with Investment Data Operations and Data Engineering teams to embed credit analytics into Pantheon's evolving data platforms, reducing reliance on bespoke spreadsheets and increasing transparency, comparability, and confidence. This is a high impact opportunity to shape Pantheon's private credit intelligence capability at a time of significant growth and platform transformation. Key Responsibilities Build private credit investment analytics across Pantheon to help evaluate and monitor investments. Act as a senior analytics partner to Investment and Portfolio Management teams, translating complex investment needs into structured data requirements and analytical frameworks. Own the definition, sourcing, and validation of investment relevant datasets, ensuring analytical outputs are complete, comparable, and decision ready. Deliver differentiated, investment grade insights by combining internal investment operations data with GP reported and external market data, moving beyond descriptive reporting to comparative, diagnostic, and thematic analysis. Serve as the primary data and analytics interface with GPs and external data/technology providers, shaping data standards, templates, and requirements to improve transparency, coverage, and usability. Operate Investment Analytics as a business facing function with a product mindset, creating a roadmap that prioritises initiatives based on investment impact, adoption, and measurable decision enablement. Lead, develop, and mentor a high performing Investment Analytics team, fostering disciplined delivery and strong stakeholder relationships. Knowledge & Experience Required Significant experience in private markets, with strong exposure to private credit, portfolio data, analytics or investment operations. Deep understanding of private credit structures, performance drivers, and portfolio monitoring. Strong analytical mindset with experience supporting investment or portfolio decision making. Strong understanding of data governance, comparability challenges, and portfolio transparency. Demonstrated ability to operate at both strategic and hands on levels. Proven ability to partner effectively with investment professionals and influence senior stakeholders. Strong written and verbal communication skills; able to articulate complex information clearly and concisely. Track record of delivering high quality outputs under tight timelines. Experience leading and developing teams in a collaborative environment. Experience with working with 3rd party providers, data vendors & offshore teams. Professional qualification (CFA, ACA, ACCA, IMC) or equivalent experience preferred but not essential. Familiarity with modern data environments and analytics tools (e.g., Power BI, SQL, Python, Databricks, Snowflake). Experience systemizing investment analytics within centralized data platforms. Exposure to automation or advanced analytical techniques to enhance portfolio monitoring. Demonstrated comfort integrating AI tools into daily analytical workflows (e.g., structured research, synthesis, data interrogation). Ability to evaluate AI outputs critically, refine prompts, and build repeatable AI assisted workflows. This job description is not to be construed as an exhaustive statement of duties, responsibilities, or requirements. You may be required to perform other job related duties as reasonably requested by your manager. Pantheon is an Equal Opportunities employer, we are committed to building a diverse and inclusive workforce so if you're excited about this role but your past experience doesn't perfectly align we'd still encourage you to apply.
Feb 28, 2026
Full time
Vice President, Private Credit Investment Analytics Pantheon has been at the forefront of private markets investing for more than 40 years, earning a reputation for an innovative approach to investing in secondaries, co investments, and primary fund investments, as well as capital formation across commingled funds, evergreen vehicles and customized solutions. Pantheon currently manages approximately $82.3 billion in AUM across all its strategies, serving more than 750 institutional and 638 private wealth clients worldwide. The Vice President of Investment Analytics (Private Credit) will lead the development of Pantheon's private credit data and intelligence capability, transforming investment data into structured, decision ready insight for Portfolio Management teams. This role sits at the intersection of Investment, Data & Operations, and will focus on strengthening the firm's ability to generate consistent, comparable, and actionable intelligence from credit portfolio data - across funds, GPs, structures, and geographies. The VP will architect and operate scalable analytical frameworks that standardize how private credit data is defined, sourced, governed, and translated into insight. The role will partner closely with Investment Data Operations and Data Engineering teams to embed credit analytics into Pantheon's evolving data platforms, reducing reliance on bespoke spreadsheets and increasing transparency, comparability, and confidence. This is a high impact opportunity to shape Pantheon's private credit intelligence capability at a time of significant growth and platform transformation. Key Responsibilities Build private credit investment analytics across Pantheon to help evaluate and monitor investments. Act as a senior analytics partner to Investment and Portfolio Management teams, translating complex investment needs into structured data requirements and analytical frameworks. Own the definition, sourcing, and validation of investment relevant datasets, ensuring analytical outputs are complete, comparable, and decision ready. Deliver differentiated, investment grade insights by combining internal investment operations data with GP reported and external market data, moving beyond descriptive reporting to comparative, diagnostic, and thematic analysis. Serve as the primary data and analytics interface with GPs and external data/technology providers, shaping data standards, templates, and requirements to improve transparency, coverage, and usability. Operate Investment Analytics as a business facing function with a product mindset, creating a roadmap that prioritises initiatives based on investment impact, adoption, and measurable decision enablement. Lead, develop, and mentor a high performing Investment Analytics team, fostering disciplined delivery and strong stakeholder relationships. Knowledge & Experience Required Significant experience in private markets, with strong exposure to private credit, portfolio data, analytics or investment operations. Deep understanding of private credit structures, performance drivers, and portfolio monitoring. Strong analytical mindset with experience supporting investment or portfolio decision making. Strong understanding of data governance, comparability challenges, and portfolio transparency. Demonstrated ability to operate at both strategic and hands on levels. Proven ability to partner effectively with investment professionals and influence senior stakeholders. Strong written and verbal communication skills; able to articulate complex information clearly and concisely. Track record of delivering high quality outputs under tight timelines. Experience leading and developing teams in a collaborative environment. Experience with working with 3rd party providers, data vendors & offshore teams. Professional qualification (CFA, ACA, ACCA, IMC) or equivalent experience preferred but not essential. Familiarity with modern data environments and analytics tools (e.g., Power BI, SQL, Python, Databricks, Snowflake). Experience systemizing investment analytics within centralized data platforms. Exposure to automation or advanced analytical techniques to enhance portfolio monitoring. Demonstrated comfort integrating AI tools into daily analytical workflows (e.g., structured research, synthesis, data interrogation). Ability to evaluate AI outputs critically, refine prompts, and build repeatable AI assisted workflows. This job description is not to be construed as an exhaustive statement of duties, responsibilities, or requirements. You may be required to perform other job related duties as reasonably requested by your manager. Pantheon is an Equal Opportunities employer, we are committed to building a diverse and inclusive workforce so if you're excited about this role but your past experience doesn't perfectly align we'd still encourage you to apply.
Role: Senior Data Engineer Background: Leveraging data analytics to provide insights and recommendations to drive strategic decision-making collaborating with cross-functional teams, including Finance, Accounting, Operations, HR, and others to deliver accurate and timely financial reporting, dashboards, analytics, and data-driven insights. Key Accountabilities A Senior Data Engineer (Production Support) will be responsible for monitoring, maintaining, and supporting ETL processes, data pipelines, and data warehouse environments. The ideal candidate should have strong troubleshooting skills, hands-on experience with ETL tools, and the ability to quickly resolve production issues to ensure data availability, accuracy, and reliability. Monitor and support daily ETL processes, data pipelines, and batch jobs to ensure timely and accurate data delivery. Troubleshoot and resolve production issues, job failures, and performance bottlenecks across ETL and data warehouse systems. Work Closely with Data platform team to resolve data load issues. Perform root cause analysis of recurring issues and implement permanent fixes. Collaborate with development teams to transition projects smoothly into production and ensure operational readiness. Implement and maintain monitoring, alerting, and logging solutions for proactive issue detection. Ensure data quality, consistency, and availability through ongoing validation and health checks. Apply best practices for production support, including incident management, change management, and problem management. Work closely with business users, data analysts, and other stakeholders to resolve data-related queries. Document runbooks, support procedures, and knowledge base articles to streamline production operations. Continuously optimize processes for reliability, performance, and scalability in production environments. Ensure compliance with data security, access controls, and audit requirements in production systems. Day-to-Day Tasks - Senior Data Engineer (Production Support) Production Support: Check system dashboards, logs, and alerts for failures or anomalies. Verify data quality and integrity checks (row counts, duplicates, missing data, schema changes). Review ETL/ELT job runs, data pipeline executions, and batch processes. Validate data loads into staging, warehouse, and downstream systems for critical tables. Monitor real-time and scheduled jobs to ensure SLAs are met. Investigate and resolve production issues (job failures, data inconsistencies, performance delays). Collaborate with business users to resolve data access or reporting issues. Coordinate with development/engineering teams for fixes, hot patches, or re-runs of failed jobs. Track and document incidents, resolutions, and preventive measures in ticketing systems (e.g., ServiceNow, Jira). Participate in daily/weekly operations meetings to report status and highlight issues. Handover critical ongoing issues to on-call/offshore support (if applicable). Minor Works/ Maintenance: Enhance Existing models with addition of fields as per the requirements. Help with Deployments and initial loads during Go-live. Perform root cause analysis for recurring or high-severity incidents. Proactive/Preventive Work: Fine-tune ETL workflows and SQL queries to improve performance. Implement monitoring scripts and automation to reduce manual intervention. Restructure the Load plans to improve effeciency. Review security and access controls to ensure compliance. Update documentation (runbooks, troubleshooting guides, SOPs) for operational continuity. Skills and Capability requirements: 6+ years of experience with ETL, data pipelines, and data warehouse production environments. Strong expertise in troubleshooting ETL/ELT processes using tools such as Matillion, Informatica, ODI, or SSIS. Experience in cloud-based data platforms like Snowflake. Proven ability to analyze job failures, perform root cause analysis, and implement permanent fixes. Hands-on experience with monitoring, alerting, and logging tools. Familiarity with incidents, problem, and change management processes in ITIL-based environments. Strong SQL programming and debugging skills with relational and cloud databases. Experience with traditional and non-traditional forms of analytical data design (Kimbal, Inmon etc) Excellent communication skills to interact with business users, analysts, and cross-functional technical teams. Nice to Have Domain knowledge in the area of finance data is preferred. Experience with SAP Systems and Databases Knowledge of data visualization tools, such as PowerBI or Tableau.
Feb 27, 2026
Contractor
Role: Senior Data Engineer Background: Leveraging data analytics to provide insights and recommendations to drive strategic decision-making collaborating with cross-functional teams, including Finance, Accounting, Operations, HR, and others to deliver accurate and timely financial reporting, dashboards, analytics, and data-driven insights. Key Accountabilities A Senior Data Engineer (Production Support) will be responsible for monitoring, maintaining, and supporting ETL processes, data pipelines, and data warehouse environments. The ideal candidate should have strong troubleshooting skills, hands-on experience with ETL tools, and the ability to quickly resolve production issues to ensure data availability, accuracy, and reliability. Monitor and support daily ETL processes, data pipelines, and batch jobs to ensure timely and accurate data delivery. Troubleshoot and resolve production issues, job failures, and performance bottlenecks across ETL and data warehouse systems. Work Closely with Data platform team to resolve data load issues. Perform root cause analysis of recurring issues and implement permanent fixes. Collaborate with development teams to transition projects smoothly into production and ensure operational readiness. Implement and maintain monitoring, alerting, and logging solutions for proactive issue detection. Ensure data quality, consistency, and availability through ongoing validation and health checks. Apply best practices for production support, including incident management, change management, and problem management. Work closely with business users, data analysts, and other stakeholders to resolve data-related queries. Document runbooks, support procedures, and knowledge base articles to streamline production operations. Continuously optimize processes for reliability, performance, and scalability in production environments. Ensure compliance with data security, access controls, and audit requirements in production systems. Day-to-Day Tasks - Senior Data Engineer (Production Support) Production Support: Check system dashboards, logs, and alerts for failures or anomalies. Verify data quality and integrity checks (row counts, duplicates, missing data, schema changes). Review ETL/ELT job runs, data pipeline executions, and batch processes. Validate data loads into staging, warehouse, and downstream systems for critical tables. Monitor real-time and scheduled jobs to ensure SLAs are met. Investigate and resolve production issues (job failures, data inconsistencies, performance delays). Collaborate with business users to resolve data access or reporting issues. Coordinate with development/engineering teams for fixes, hot patches, or re-runs of failed jobs. Track and document incidents, resolutions, and preventive measures in ticketing systems (e.g., ServiceNow, Jira). Participate in daily/weekly operations meetings to report status and highlight issues. Handover critical ongoing issues to on-call/offshore support (if applicable). Minor Works/ Maintenance: Enhance Existing models with addition of fields as per the requirements. Help with Deployments and initial loads during Go-live. Perform root cause analysis for recurring or high-severity incidents. Proactive/Preventive Work: Fine-tune ETL workflows and SQL queries to improve performance. Implement monitoring scripts and automation to reduce manual intervention. Restructure the Load plans to improve effeciency. Review security and access controls to ensure compliance. Update documentation (runbooks, troubleshooting guides, SOPs) for operational continuity. Skills and Capability requirements: 6+ years of experience with ETL, data pipelines, and data warehouse production environments. Strong expertise in troubleshooting ETL/ELT processes using tools such as Matillion, Informatica, ODI, or SSIS. Experience in cloud-based data platforms like Snowflake. Proven ability to analyze job failures, perform root cause analysis, and implement permanent fixes. Hands-on experience with monitoring, alerting, and logging tools. Familiarity with incidents, problem, and change management processes in ITIL-based environments. Strong SQL programming and debugging skills with relational and cloud databases. Experience with traditional and non-traditional forms of analytical data design (Kimbal, Inmon etc) Excellent communication skills to interact with business users, analysts, and cross-functional technical teams. Nice to Have Domain knowledge in the area of finance data is preferred. Experience with SAP Systems and Databases Knowledge of data visualization tools, such as PowerBI or Tableau.
Lead the engineering standards behind a High-Growth UK SaaS platform Software Development Manager NestJS / NodeJS, Vue: .NET backgrounds welcome Manchester (Hybrid: 1 day per week onsite) Up to 100,000 + benefits If you're a technically strong engineering leader who built your career on solid engineering foundations (whether in C# / .NET or modern JavaScript frameworks) and still care deeply about code quality, DevOps maturity, and scalable systems, this is a genuinely exciting opportunity. We're partnered with a high-growth UK SaaS technology company building data-driven digital products that help commercial teams better understand and engage their customers. As they scale their customer-facing platforms, they're looking for an experienced Software Development Manager to shape engineering standards and lead the next phase of platform evolution. The Tech Environment The company's stack has evolved. Originally built on a Microsoft / C# / .NET foundation, the platform has transitioned to a more modern stack including: NestJS / NodeJS, Vue, Redis, SQL Server, Snowflake. They are open to candidates from a strong .NET background who have since gained experience in modern JavaScript/TypeScript ecosystems. Or who can demonstrate the adaptability and technical depth to operate in this environment. What matters most is engineering quality, architectural thinking, and leadership credibility , not a rigid checklist of frameworks. You'll balance people leadership, technical direction, and delivery performance , ensuring teams build maintainable, secure, and high-performing systems. What We're Looking For Significant experience in a SaaS or product-led environment Strong previous experience as a hands-on software engineer (C#/.NET or modern JS/TS stacks) Proven leadership of engineering teams Experience building and operating systems at scale A solid understanding of automated testing and QA practices Familiarity with modern DevOps approaches Strong interpersonal and collaboration skills The ability to quickly pick up new tools and solve complex problems Interested? If you're a strong engineering leader who wants to influence platform direction without stepping away from technical depth, this role offers real impact in a growing SaaS business. Apply now or contact us for more details: (url removed) Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Feb 27, 2026
Full time
Lead the engineering standards behind a High-Growth UK SaaS platform Software Development Manager NestJS / NodeJS, Vue: .NET backgrounds welcome Manchester (Hybrid: 1 day per week onsite) Up to 100,000 + benefits If you're a technically strong engineering leader who built your career on solid engineering foundations (whether in C# / .NET or modern JavaScript frameworks) and still care deeply about code quality, DevOps maturity, and scalable systems, this is a genuinely exciting opportunity. We're partnered with a high-growth UK SaaS technology company building data-driven digital products that help commercial teams better understand and engage their customers. As they scale their customer-facing platforms, they're looking for an experienced Software Development Manager to shape engineering standards and lead the next phase of platform evolution. The Tech Environment The company's stack has evolved. Originally built on a Microsoft / C# / .NET foundation, the platform has transitioned to a more modern stack including: NestJS / NodeJS, Vue, Redis, SQL Server, Snowflake. They are open to candidates from a strong .NET background who have since gained experience in modern JavaScript/TypeScript ecosystems. Or who can demonstrate the adaptability and technical depth to operate in this environment. What matters most is engineering quality, architectural thinking, and leadership credibility , not a rigid checklist of frameworks. You'll balance people leadership, technical direction, and delivery performance , ensuring teams build maintainable, secure, and high-performing systems. What We're Looking For Significant experience in a SaaS or product-led environment Strong previous experience as a hands-on software engineer (C#/.NET or modern JS/TS stacks) Proven leadership of engineering teams Experience building and operating systems at scale A solid understanding of automated testing and QA practices Familiarity with modern DevOps approaches Strong interpersonal and collaboration skills The ability to quickly pick up new tools and solve complex problems Interested? If you're a strong engineering leader who wants to influence platform direction without stepping away from technical depth, this role offers real impact in a growing SaaS business. Apply now or contact us for more details: (url removed) Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Want to own technical direction not just tickets? Technical Lead Developer - Full Stack - JavaScript, TypeScript, Node.js Manchester (Hybrid - 1 day per week onsite) Up to 100,000 + benefits If you're the kind of engineer who naturally sets technical standards, challenges architectural decisions, and raises the bar for everyone around you, this is your opportunity to lead from the front. We're partnered with a fast-scaling UK SaaS technology company building sophisticated, data-driven digital products used by commercial teams to better understand and engage their customers. As they evolve their next-generation customer-facing platforms, they're looking for a Technical Lead to take ownership of technical delivery and architectural direction. This is a hands-on leadership role. You'll be involved from early design through to production deployment, working in a modern cloud environment, where code ships to live environments daily. Tech Environment You'll work with a modern stack including: TypeScript, JavaScript Microservices Architecture Redis, SQL Server & Snowflake AWS cloud infrastructure Mature CI/CD pipelines and DevSecOps practices It's a fast-moving SaaS environment with continuous deployment and a strong emphasis on engineering quality. About You You're a senior full stack engineer who has naturally evolved into technical leadership. 10+ years' experience in full stack development 3+ years' commercial TypeScript experience Strong Node.js expertise Proven background in system design and scalable architectures Experience building and operating large, production SaaS platforms A clean-code mindset (SOLID principles, design patterns, testable systems) Experience working within mature CI/CD environments Strong commercial awareness when designing solutions Confident communicator who collaborates effectively with stakeholders An interest in leveraging AI to improve and accelerate development Passion for performance, security, and engineering excellence Computer Science degree or equivalent real-world expertise Interested? If you're ready to shape technical direction in a high-growth SaaS environment, without stepping away from hands-on engineering, this could be the move. Apply now or contact me to talk: (url removed) Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Feb 27, 2026
Full time
Want to own technical direction not just tickets? Technical Lead Developer - Full Stack - JavaScript, TypeScript, Node.js Manchester (Hybrid - 1 day per week onsite) Up to 100,000 + benefits If you're the kind of engineer who naturally sets technical standards, challenges architectural decisions, and raises the bar for everyone around you, this is your opportunity to lead from the front. We're partnered with a fast-scaling UK SaaS technology company building sophisticated, data-driven digital products used by commercial teams to better understand and engage their customers. As they evolve their next-generation customer-facing platforms, they're looking for a Technical Lead to take ownership of technical delivery and architectural direction. This is a hands-on leadership role. You'll be involved from early design through to production deployment, working in a modern cloud environment, where code ships to live environments daily. Tech Environment You'll work with a modern stack including: TypeScript, JavaScript Microservices Architecture Redis, SQL Server & Snowflake AWS cloud infrastructure Mature CI/CD pipelines and DevSecOps practices It's a fast-moving SaaS environment with continuous deployment and a strong emphasis on engineering quality. About You You're a senior full stack engineer who has naturally evolved into technical leadership. 10+ years' experience in full stack development 3+ years' commercial TypeScript experience Strong Node.js expertise Proven background in system design and scalable architectures Experience building and operating large, production SaaS platforms A clean-code mindset (SOLID principles, design patterns, testable systems) Experience working within mature CI/CD environments Strong commercial awareness when designing solutions Confident communicator who collaborates effectively with stakeholders An interest in leveraging AI to improve and accelerate development Passion for performance, security, and engineering excellence Computer Science degree or equivalent real-world expertise Interested? If you're ready to shape technical direction in a high-growth SaaS environment, without stepping away from hands-on engineering, this could be the move. Apply now or contact me to talk: (url removed) Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Ready to architect platforms that operate at serious scale? Software Architect - NestJS, NodeJS, Vue - .NET backgrounds welcome Manchester (Hybrid - 1-2 days per week onsite) Up to 110,000 + benefits We're partnered with a fast-scaling UK SaaS company building high-performance, data-driven platforms used by commercial teams to better understand and engage their customers. They're now looking for a Software Architect to shape the next generation of their customer-facing systems; designing scalable, cloud-first solutions capable of handling high data throughput and large data sets. The Environment The platform has evolved from a Microsoft / C# / .NET foundation into a modern stack including: NestJS, NodeJS, Vue Redis, SQL Server & Snowflake AWS (cloud-first architecture) Strong .NET Architects who've worked in modern cloud and micro-services environments, or who can operate confidently across Node/TypeScript ecosystems, are absolutely encouraged to apply. What matters most is architectural depth, SaaS scalability experience, and strong engineering principles. The Role This is ideal for someone who has progressed from hands-on engineering into architecture and still understands what great code and great systems look like. You'll: Design large-scale, high-performance SaaS architectures Lead microservices and event-driven design initiatives Champion DevOps-aligned architecture patterns Work across distributed/offshore teams Operate comfortably at both strategic and deep technical levels Influence AI architecture and modern data practices What We're Looking For 3-5+ years in a Software Architect role Strong engineering background (C#/.NET or modern JS/TS stacks) Experience within mature B2B SaaS environments Deep knowledge of cloud architecture (ideally AWS) Experience with microservices, event-driven systems Strong understanding of OLAP, OLTP, ETL & data warehousing DevOps-first mindset Excellent stakeholder engagement skills Interested? If you're an Architect who wants real influence in a scaling SaaS environment - without being boxed into one technology - this is a strong opportunity. Apply now or contact us for a confidential discussion: (url removed) Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Feb 27, 2026
Full time
Ready to architect platforms that operate at serious scale? Software Architect - NestJS, NodeJS, Vue - .NET backgrounds welcome Manchester (Hybrid - 1-2 days per week onsite) Up to 110,000 + benefits We're partnered with a fast-scaling UK SaaS company building high-performance, data-driven platforms used by commercial teams to better understand and engage their customers. They're now looking for a Software Architect to shape the next generation of their customer-facing systems; designing scalable, cloud-first solutions capable of handling high data throughput and large data sets. The Environment The platform has evolved from a Microsoft / C# / .NET foundation into a modern stack including: NestJS, NodeJS, Vue Redis, SQL Server & Snowflake AWS (cloud-first architecture) Strong .NET Architects who've worked in modern cloud and micro-services environments, or who can operate confidently across Node/TypeScript ecosystems, are absolutely encouraged to apply. What matters most is architectural depth, SaaS scalability experience, and strong engineering principles. The Role This is ideal for someone who has progressed from hands-on engineering into architecture and still understands what great code and great systems look like. You'll: Design large-scale, high-performance SaaS architectures Lead microservices and event-driven design initiatives Champion DevOps-aligned architecture patterns Work across distributed/offshore teams Operate comfortably at both strategic and deep technical levels Influence AI architecture and modern data practices What We're Looking For 3-5+ years in a Software Architect role Strong engineering background (C#/.NET or modern JS/TS stacks) Experience within mature B2B SaaS environments Deep knowledge of cloud architecture (ideally AWS) Experience with microservices, event-driven systems Strong understanding of OLAP, OLTP, ETL & data warehousing DevOps-first mindset Excellent stakeholder engagement skills Interested? If you're an Architect who wants real influence in a scaling SaaS environment - without being boxed into one technology - this is a strong opportunity. Apply now or contact us for a confidential discussion: (url removed) Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
AI Engineer High-growth consumer fintech platform Job Description As a hands on AI Engineer in the Internal Automation team, you will build AI powered tools and automated workflows to supercharge efficiency across finance, compliance, and product departments. You will own the end to end lifecycle of integrations and LLM based solutions, shipping high impact software that eliminates manual friction and provides immediate value to colleagues. Location London, UK Why this role is remarkable Ship AI integrations on Monday and see them saving teams hours of manual work by Friday, offering immediate and visible impact. Work at the frontier of AI tooling, experimenting with LLMs, agentic workflows, and the Model Context Protocol (MCP) in a production environment. Join a small, high leverage team within a well funded fintech where you have full ownership from problem discovery through to implementation. What you will do Build and maintain knowledge base pipelines and connectors for systems like Slack, Snowflake, and Jira to power internal AI tooling. Create templates, guardrails, and building blocks that enable non engineers to safely build their own AI powered data sources and workflows. Partner with the PM and Engineering Lead to identify high leverage automation opportunities and iterate quickly based on adoption metrics. The ideal candidate 4+ years of software engineering experience with strong full stack proficiency in Python or TypeScript and containerised deployments via Kubernetes. Proven track record of shipping commercial AI tooling and a deep comfort level with LLMs, embeddings, and modern AI application patterns. A self starter mindset motivated by tangible impact, with the ability to design, build, and monitor solutions from the ground up. Next steps Visit our website. Click 'Talk to Jack'. Talk to Jack so he can understand your experience and ambitions. Jack will make sure Jill considers you for this role. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction. If not, Jack will find you excellent alternatives. All for free.
Feb 27, 2026
Full time
AI Engineer High-growth consumer fintech platform Job Description As a hands on AI Engineer in the Internal Automation team, you will build AI powered tools and automated workflows to supercharge efficiency across finance, compliance, and product departments. You will own the end to end lifecycle of integrations and LLM based solutions, shipping high impact software that eliminates manual friction and provides immediate value to colleagues. Location London, UK Why this role is remarkable Ship AI integrations on Monday and see them saving teams hours of manual work by Friday, offering immediate and visible impact. Work at the frontier of AI tooling, experimenting with LLMs, agentic workflows, and the Model Context Protocol (MCP) in a production environment. Join a small, high leverage team within a well funded fintech where you have full ownership from problem discovery through to implementation. What you will do Build and maintain knowledge base pipelines and connectors for systems like Slack, Snowflake, and Jira to power internal AI tooling. Create templates, guardrails, and building blocks that enable non engineers to safely build their own AI powered data sources and workflows. Partner with the PM and Engineering Lead to identify high leverage automation opportunities and iterate quickly based on adoption metrics. The ideal candidate 4+ years of software engineering experience with strong full stack proficiency in Python or TypeScript and containerised deployments via Kubernetes. Proven track record of shipping commercial AI tooling and a deep comfort level with LLMs, embeddings, and modern AI application patterns. A self starter mindset motivated by tangible impact, with the ability to design, build, and monitor solutions from the ground up. Next steps Visit our website. Click 'Talk to Jack'. Talk to Jack so he can understand your experience and ambitions. Jack will make sure Jill considers you for this role. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction. If not, Jack will find you excellent alternatives. All for free.
Technical Lead Full Stack Developer (TypeScript, JavaScript, Node) Location: Hybrid working within Greater Manchester Salary: Competitive + benefits We're working with a fast-growing UK SaaS technology company that builds data-driven digital products used by commercial teams to better understand and engage with their customers. They are now looking for an experienced technical lead full stack developer to play a key role in shaping and delivering their next generation of customer-facing platforms. This is a hands-on technical leadership role where you'll be involved from early design through to production delivery, working with a modern cloud-based stack and deploying to live environments on a daily basis. The Role Lead technical delivery across a high-performing development squad (10+) Contribute to solution design, system architecture and domain modelling Build proof-of-concepts and spike complex or uncertain areas of work Break down requirements into deliverable epics and user stories alongside product and initiative managers Develop and deliver production-ready code across the full stack Ensure high standards of quality, maintainability, performance and security Support and improve live systems once deployed Influence technical direction, tooling and best practice across the wider engineering function Tech Environment You'll work with a modern stack including: Node.js microservices JavaScript & TypeScript Vue.js Redis, SQL Server & Snowflake AWS cloud infrastructure CI/CD pipelines and DevSecOps practices About You Strong full stack development experience (ideally 10+ years) 5+ years of JavaScript and TypeScript experience Solid background in system design and scalable architectures Experience building large, production SaaS platforms A clean-code mindset (SOLID principles, design patterns, testable code) Experience working in mature CI/CD and continuous deployment environments A commercial mindset when designing and delivering software Excellent collaboration skills and confidence working with stakeholders Interest in using AI to accelerate and improve software development A passion for performance, security and engineering best practice Degree in Computer Science or equivalent real-world experience What's On Offer Competitive salary and benefits package Hybrid working (1 day per week in the Fareham office) Opportunity to join a scaling UK SaaS business Strong engineering culture with a focus on quality and continuous improvement Supportive, collaborative working environment Community and charity initiatives, including volunteer days Send your CV across to me on email (url removed) or call (phone number removed) for more information. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Feb 27, 2026
Full time
Technical Lead Full Stack Developer (TypeScript, JavaScript, Node) Location: Hybrid working within Greater Manchester Salary: Competitive + benefits We're working with a fast-growing UK SaaS technology company that builds data-driven digital products used by commercial teams to better understand and engage with their customers. They are now looking for an experienced technical lead full stack developer to play a key role in shaping and delivering their next generation of customer-facing platforms. This is a hands-on technical leadership role where you'll be involved from early design through to production delivery, working with a modern cloud-based stack and deploying to live environments on a daily basis. The Role Lead technical delivery across a high-performing development squad (10+) Contribute to solution design, system architecture and domain modelling Build proof-of-concepts and spike complex or uncertain areas of work Break down requirements into deliverable epics and user stories alongside product and initiative managers Develop and deliver production-ready code across the full stack Ensure high standards of quality, maintainability, performance and security Support and improve live systems once deployed Influence technical direction, tooling and best practice across the wider engineering function Tech Environment You'll work with a modern stack including: Node.js microservices JavaScript & TypeScript Vue.js Redis, SQL Server & Snowflake AWS cloud infrastructure CI/CD pipelines and DevSecOps practices About You Strong full stack development experience (ideally 10+ years) 5+ years of JavaScript and TypeScript experience Solid background in system design and scalable architectures Experience building large, production SaaS platforms A clean-code mindset (SOLID principles, design patterns, testable code) Experience working in mature CI/CD and continuous deployment environments A commercial mindset when designing and delivering software Excellent collaboration skills and confidence working with stakeholders Interest in using AI to accelerate and improve software development A passion for performance, security and engineering best practice Degree in Computer Science or equivalent real-world experience What's On Offer Competitive salary and benefits package Hybrid working (1 day per week in the Fareham office) Opportunity to join a scaling UK SaaS business Strong engineering culture with a focus on quality and continuous improvement Supportive, collaborative working environment Community and charity initiatives, including volunteer days Send your CV across to me on email (url removed) or call (phone number removed) for more information. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Job Title: Snowflake Data Engineer Location: London (2 days on-site per week) Salary/Rate: 550 - 600 per day inside IR35 Start Date: March Job Type: Initial 3-6 month contract Company Introduction We have an exciting opportunity now available with one of our sector-leading consultancy clients! They are currently looking for a skilled Snowflake Data Engineer to help on their cloud migration project. Job Responsibilities/Objectives You will be responsible for designing and building scalable data pipelines, Data Vault models/Dimension Model, and Snowflake/dbt workloads for cloud migration projects. ? Implement Data Vault 2.0 (Hubs, Links, Satellites) /Dimension Model on Snowflake. ? Build ELT pipelines using Snowflake, dbt, Python/PySpark. ? Develop ingestion from APIs, databases, streams. ? Optimize Snowflake warehouses, cost, and performance. ? Collaborate with architects, analysts, and DevOps. ? Maintain documentation, lineage, governance standards. Required Skills/Experience The ideal candidate will have the following: ? Strong SQL; Snowflake ELT; dbt experience. ? Python/PySpark, ETL/ELT design. ? Data Vault 2.0 or dimensional modeling. ? AWS services (S3, Glue, Lambda, Redshift) or GCP equivalents. ? Experience with CI/CD for data pipelines. Good to have skills Although not essential, the following skills are desired by the client: ? Kafka/Kinesis, Airflow, CodePipeline. ? BI tools (Power BI/Tableau). ? Docker/OpenShift; metadata driven pipelines. ? 3-8+ years Data Engineering experience. ? Cloud data engineering and Snowflake/dbt hands on exposure. If you are interested in this opportunity, please apply now with your updated CV in Microsoft Word/PDF format. Disclaimer Notwithstanding any guidelines given to level of experience sought, we will consider candidates from outside this range if they can demonstrate the necessary competencies. Square One is acting as both an employment agency and an employment business, and is an equal opportunities recruitment business. Square One embraces diversity and will treat everyone equally. Please see our website for our full diversity statement.
Feb 27, 2026
Contractor
Job Title: Snowflake Data Engineer Location: London (2 days on-site per week) Salary/Rate: 550 - 600 per day inside IR35 Start Date: March Job Type: Initial 3-6 month contract Company Introduction We have an exciting opportunity now available with one of our sector-leading consultancy clients! They are currently looking for a skilled Snowflake Data Engineer to help on their cloud migration project. Job Responsibilities/Objectives You will be responsible for designing and building scalable data pipelines, Data Vault models/Dimension Model, and Snowflake/dbt workloads for cloud migration projects. ? Implement Data Vault 2.0 (Hubs, Links, Satellites) /Dimension Model on Snowflake. ? Build ELT pipelines using Snowflake, dbt, Python/PySpark. ? Develop ingestion from APIs, databases, streams. ? Optimize Snowflake warehouses, cost, and performance. ? Collaborate with architects, analysts, and DevOps. ? Maintain documentation, lineage, governance standards. Required Skills/Experience The ideal candidate will have the following: ? Strong SQL; Snowflake ELT; dbt experience. ? Python/PySpark, ETL/ELT design. ? Data Vault 2.0 or dimensional modeling. ? AWS services (S3, Glue, Lambda, Redshift) or GCP equivalents. ? Experience with CI/CD for data pipelines. Good to have skills Although not essential, the following skills are desired by the client: ? Kafka/Kinesis, Airflow, CodePipeline. ? BI tools (Power BI/Tableau). ? Docker/OpenShift; metadata driven pipelines. ? 3-8+ years Data Engineering experience. ? Cloud data engineering and Snowflake/dbt hands on exposure. If you are interested in this opportunity, please apply now with your updated CV in Microsoft Word/PDF format. Disclaimer Notwithstanding any guidelines given to level of experience sought, we will consider candidates from outside this range if they can demonstrate the necessary competencies. Square One is acting as both an employment agency and an employment business, and is an equal opportunities recruitment business. Square One embraces diversity and will treat everyone equally. Please see our website for our full diversity statement.
Kinetic are currently recruiting for a Data Analyst to work alongside one of our valued clients in a dynamic and fast-paced environment. What's on offer: Monday - Friday working hours (37) Long term opportunity with a view to take on permanent Hybrid working Location - Newcastle/Leeds The Role: Responsible for transforming raw operational, commercial, and technical data into clear, actionable insights. This role will leverage Snowflake, Power BI, and other enterprise systems to develop reliable data models, automated reporting, and intuitive dashboards that support evidence-based decision-making across the business. Qualifications: Degree in Data Science, Computer Science, Engineering, Mathematics, or related discipline or equivalent experience. Professional certifications (e.g., Snowflake SnowPro, Microsoft Power BI Data Analyst) beneficial. Key Responsibilities: Data Management & Processing: Extract, transform, and load (ETL) data from multiple sources, primarily using Snowflake, SQL, and associated pipelines. Ensure high data quality, integrity, consistency, and availability. Develop repeatable processes for data cleansing and validation. Reporting & Dashboard Development: Design, build, and maintain Power BI dashboards and reports for operational, commercial, and strategic use. Optimise dashboard performance, parameterisation, and data refresh logic. Work with stakeholders to define KPIs, metrics, and data visualisation standards. Analytics & Insights: Analyse large datasets to identify trends, patterns, and opportunities for improvement. Provide insights that support Continuous Improvement, operational performance, root cause analysis, and forecasting. Produce clear written and verbal summaries tailored to technical and non technical audiences. Collaboration & Stakeholder Engagement: Work closely with cross-functional teams (Operations, Engineering, Service, Finance, Supply Chain, etc.) to understand their data needs. Translate business questions into structured analytical problems. Provide training and knowledge sharing on dashboards, reports, and data tools. Governance & Best Practice: Support data governance, cataloguing, and security frameworks. Maintain documentation for data sources, models, definitions, and dashboard usage. Ensure compliance with internal data policies and procedures Skills & Experience Technical Skills: Strong experience with SQL (Snowflake preferred). Proficiency building Power BI dashboards, DAX formulas, and data models. Experience working with cloud-based data warehousing platforms. Understanding of ETL / ELT concepts, data modelling, and data architecture. Proficient in Excel and general data manipulation tools. Analytical Skills: Ability to interpret large datasets into actionable insights. Strong problem-solving and structured analysis capabilities. Ability to create meaningful visuals and simplify complex information. Professional Skills: Excellent communication and stakeholder management. Ability to work independently and prioritise multiple requests. Strong documentation and reporting discipline. Kinetic plc is a Recruitment Consultancy with over 40 years' experience delivering staffing solutions to the engineering, manufacturing and technical industries. Kinetic plc treats all applications confidentially and we review all submissions. Those that do not meet the specification may not be contacted but their CV retained to be considered against future opportunities. S&T1
Feb 27, 2026
Seasonal
Kinetic are currently recruiting for a Data Analyst to work alongside one of our valued clients in a dynamic and fast-paced environment. What's on offer: Monday - Friday working hours (37) Long term opportunity with a view to take on permanent Hybrid working Location - Newcastle/Leeds The Role: Responsible for transforming raw operational, commercial, and technical data into clear, actionable insights. This role will leverage Snowflake, Power BI, and other enterprise systems to develop reliable data models, automated reporting, and intuitive dashboards that support evidence-based decision-making across the business. Qualifications: Degree in Data Science, Computer Science, Engineering, Mathematics, or related discipline or equivalent experience. Professional certifications (e.g., Snowflake SnowPro, Microsoft Power BI Data Analyst) beneficial. Key Responsibilities: Data Management & Processing: Extract, transform, and load (ETL) data from multiple sources, primarily using Snowflake, SQL, and associated pipelines. Ensure high data quality, integrity, consistency, and availability. Develop repeatable processes for data cleansing and validation. Reporting & Dashboard Development: Design, build, and maintain Power BI dashboards and reports for operational, commercial, and strategic use. Optimise dashboard performance, parameterisation, and data refresh logic. Work with stakeholders to define KPIs, metrics, and data visualisation standards. Analytics & Insights: Analyse large datasets to identify trends, patterns, and opportunities for improvement. Provide insights that support Continuous Improvement, operational performance, root cause analysis, and forecasting. Produce clear written and verbal summaries tailored to technical and non technical audiences. Collaboration & Stakeholder Engagement: Work closely with cross-functional teams (Operations, Engineering, Service, Finance, Supply Chain, etc.) to understand their data needs. Translate business questions into structured analytical problems. Provide training and knowledge sharing on dashboards, reports, and data tools. Governance & Best Practice: Support data governance, cataloguing, and security frameworks. Maintain documentation for data sources, models, definitions, and dashboard usage. Ensure compliance with internal data policies and procedures Skills & Experience Technical Skills: Strong experience with SQL (Snowflake preferred). Proficiency building Power BI dashboards, DAX formulas, and data models. Experience working with cloud-based data warehousing platforms. Understanding of ETL / ELT concepts, data modelling, and data architecture. Proficient in Excel and general data manipulation tools. Analytical Skills: Ability to interpret large datasets into actionable insights. Strong problem-solving and structured analysis capabilities. Ability to create meaningful visuals and simplify complex information. Professional Skills: Excellent communication and stakeholder management. Ability to work independently and prioritise multiple requests. Strong documentation and reporting discipline. Kinetic plc is a Recruitment Consultancy with over 40 years' experience delivering staffing solutions to the engineering, manufacturing and technical industries. Kinetic plc treats all applications confidentially and we review all submissions. Those that do not meet the specification may not be contacted but their CV retained to be considered against future opportunities. S&T1
Job Title: Head of Analytics Platforms Location: Swindon Salary: Competitive Role Overview We are supporting a high-profile organisation in the search for a Head of Analytics to lead a major data and analytics transformation. This is a unique opportunity to drive the move from legacy systems to a modern cloud-based analytics ecosystem, leveraging tools such as Snowflake and Power BI. This senior strategic role requires an influential, delivery-focused leader who can define how analytics operates across the organisation, ensuring maximum value is derived from data. The successful candidate will shape analytics strategy, lead business-facing insight functions, and manage offshore engineering teams, fostering a data-driven culture to support decision-making at all levels. Key Responsibilities Define and own the organisation-wide analytics strategy, ensuring alignment with business goals and broader technology initiatives. Lead the transition from legacy platforms to a modern, cloud-native data ecosystem. Establish and implement the operating model for analytics, covering governance, prioritisation, delivery processes, and ways of working. Drive the creation of high-quality dashboards, reports, and advanced analytics products that deliver measurable business value. Collaborate with business leaders to understand priorities and translate them into actionable insights. Identify opportunities to enhance performance, customer understanding, operational efficiency, and commercial outcomes through data. Serve as a senior advocate for analytics, building strong relationships with stakeholders to ensure work aligns with strategic objectives. Manage offshore engineering teams to deliver scalable, efficient, and high-quality data pipelines and models. Define requirements, priorities, and standards for analytics engineering, data quality, and data governance. Oversee the analytics delivery roadmap, ensuring timely implementation during and after platform transformation. Develop analytics capability across the organisation, raising data literacy and promoting best practices. Knowledge, Qualifications, and Skills Proven experience leading analytics or data insight functions within a transforming organisation. Strong strategic mindset with the ability to influence senior stakeholders and set company-wide direction. Deep understanding of modern data platforms and cloud architectures, particularly Snowflake. Hands-on experience with reporting and visualisation tools, especially Power BI. Experience managing offshore engineering or development teams. Excellent stakeholder management, communication, and leadership skills. Ability to translate complex business needs into analytical solutions that deliver measurable value. Experience in delivering large-scale data platform migrations or cloud transformation programmes. Knowledge of data governance frameworks and enterprise data management.
Feb 27, 2026
Full time
Job Title: Head of Analytics Platforms Location: Swindon Salary: Competitive Role Overview We are supporting a high-profile organisation in the search for a Head of Analytics to lead a major data and analytics transformation. This is a unique opportunity to drive the move from legacy systems to a modern cloud-based analytics ecosystem, leveraging tools such as Snowflake and Power BI. This senior strategic role requires an influential, delivery-focused leader who can define how analytics operates across the organisation, ensuring maximum value is derived from data. The successful candidate will shape analytics strategy, lead business-facing insight functions, and manage offshore engineering teams, fostering a data-driven culture to support decision-making at all levels. Key Responsibilities Define and own the organisation-wide analytics strategy, ensuring alignment with business goals and broader technology initiatives. Lead the transition from legacy platforms to a modern, cloud-native data ecosystem. Establish and implement the operating model for analytics, covering governance, prioritisation, delivery processes, and ways of working. Drive the creation of high-quality dashboards, reports, and advanced analytics products that deliver measurable business value. Collaborate with business leaders to understand priorities and translate them into actionable insights. Identify opportunities to enhance performance, customer understanding, operational efficiency, and commercial outcomes through data. Serve as a senior advocate for analytics, building strong relationships with stakeholders to ensure work aligns with strategic objectives. Manage offshore engineering teams to deliver scalable, efficient, and high-quality data pipelines and models. Define requirements, priorities, and standards for analytics engineering, data quality, and data governance. Oversee the analytics delivery roadmap, ensuring timely implementation during and after platform transformation. Develop analytics capability across the organisation, raising data literacy and promoting best practices. Knowledge, Qualifications, and Skills Proven experience leading analytics or data insight functions within a transforming organisation. Strong strategic mindset with the ability to influence senior stakeholders and set company-wide direction. Deep understanding of modern data platforms and cloud architectures, particularly Snowflake. Hands-on experience with reporting and visualisation tools, especially Power BI. Experience managing offshore engineering or development teams. Excellent stakeholder management, communication, and leadership skills. Ability to translate complex business needs into analytical solutions that deliver measurable value. Experience in delivering large-scale data platform migrations or cloud transformation programmes. Knowledge of data governance frameworks and enterprise data management.
Senior Data Engineer - Azure & Snowflake Location: Central London - 3 4 days onsite each week Salary: £ Negotiable + benefits We are supporting an enterprise-level client who is investing heavily in a modern cloud data platform that will sit at the centre of its data strategy. This programme will enable more advanced analytics, reporting and insight across multiple business functions. We are looking to appoint three experienced Senior Data Engineers with strong Azure and Snowflake expertise. The Role This is a senior, hands-on engineering position within a high-performing data team. You will play a key role in shaping, developing and enhancing a large-scale Azure-based data platform, ensuring it is scalable, reliable and built to enterprise standards. The position requires regular collaboration with stakeholders and an onsite presence in Central London 3 4 days per week, so this is not a fully remote role. What You Will Be Doing Building and enhancing scalable data pipelines using Azure and Snowflake Developing and improving ETL / ELT processes across batch and micro-batch workloads Working extensively with Azure Data Factory, Azure SQL, Azure Storage and Azure Functions Designing and maintaining data warehouse structures including star and snowflake schemas Applying recognised data warehousing approaches such as Kimball and Inmon Writing and optimising complex SQL queries to support analytics and reporting Ensuring strong data governance, quality, validation and reconciliation processes Partnering with BI teams to enable effective reporting solutions Contributing to architectural decisions around performance, scalability and infrastructure Identifying and resolving issues to improve platform reliability and efficiency What We Are Looking For 7+ years in software engineering or development 5+ years working within data-focused environments At least 2 years hands-on experience with Azure cloud data platforms Strong expertise across the Azure Data Platform including Data Factory, SQL, Storage and Functions Proven experience in SQL development and data modelling Experience building both periodic batch and micro-batch data pipelines Solid understanding of enterprise data warehouse design and loading strategies A minimum of 1 year hands-on experience with Snowflake Experience working with large-scale enterprise datasets Strong analytical mindset with a clear focus on data integrity and performance Desirable Experience Advanced Snowflake performance tuning and optimisation Python and or Databricks exposure Experience designing full end-to-end data platform architectures Background supporting enterprise BI ecosystems Familiarity with CI/CD pipelines and infrastructure-as-code practices Additional Details Visa candidates will be considered Salary is open and negotiable depending on experience Immediate requirement If you are an experienced Senior Data Engineer with strong Azure and Snowflake expertise and are comfortable with a London-based hybrid working model, we d love to hear from you.
Feb 27, 2026
Full time
Senior Data Engineer - Azure & Snowflake Location: Central London - 3 4 days onsite each week Salary: £ Negotiable + benefits We are supporting an enterprise-level client who is investing heavily in a modern cloud data platform that will sit at the centre of its data strategy. This programme will enable more advanced analytics, reporting and insight across multiple business functions. We are looking to appoint three experienced Senior Data Engineers with strong Azure and Snowflake expertise. The Role This is a senior, hands-on engineering position within a high-performing data team. You will play a key role in shaping, developing and enhancing a large-scale Azure-based data platform, ensuring it is scalable, reliable and built to enterprise standards. The position requires regular collaboration with stakeholders and an onsite presence in Central London 3 4 days per week, so this is not a fully remote role. What You Will Be Doing Building and enhancing scalable data pipelines using Azure and Snowflake Developing and improving ETL / ELT processes across batch and micro-batch workloads Working extensively with Azure Data Factory, Azure SQL, Azure Storage and Azure Functions Designing and maintaining data warehouse structures including star and snowflake schemas Applying recognised data warehousing approaches such as Kimball and Inmon Writing and optimising complex SQL queries to support analytics and reporting Ensuring strong data governance, quality, validation and reconciliation processes Partnering with BI teams to enable effective reporting solutions Contributing to architectural decisions around performance, scalability and infrastructure Identifying and resolving issues to improve platform reliability and efficiency What We Are Looking For 7+ years in software engineering or development 5+ years working within data-focused environments At least 2 years hands-on experience with Azure cloud data platforms Strong expertise across the Azure Data Platform including Data Factory, SQL, Storage and Functions Proven experience in SQL development and data modelling Experience building both periodic batch and micro-batch data pipelines Solid understanding of enterprise data warehouse design and loading strategies A minimum of 1 year hands-on experience with Snowflake Experience working with large-scale enterprise datasets Strong analytical mindset with a clear focus on data integrity and performance Desirable Experience Advanced Snowflake performance tuning and optimisation Python and or Databricks exposure Experience designing full end-to-end data platform architectures Background supporting enterprise BI ecosystems Familiarity with CI/CD pipelines and infrastructure-as-code practices Additional Details Visa candidates will be considered Salary is open and negotiable depending on experience Immediate requirement If you are an experienced Senior Data Engineer with strong Azure and Snowflake expertise and are comfortable with a London-based hybrid working model, we d love to hear from you.
We are seeking an experienced Solution Architect to play a key role in an excellent client's large-scale platform migration programme focused on consolidating multiple payment and card-processing systems into a unified global ecosystem. The successful candidate will bring expertise in system migrations, ETL/data transformation pipelines, and cross-functional collaboration. You will work with engineering, product, operations, compliance, and partner teams to define and govern architecture that delivers secure, compliant, resilient, and high-performing outcomes. This can either be a mainly remote or hybrid role depending on what the successful candidate prefers. As well as competitive salary's, our client offers a comprehensive benefits package. Key Responsibilities Lead solution architecture for the migration and consolidation of regional card-processing and payments platforms into a modern, unified global environment. Design and own large-scale data migration and ETL processes, including data mapping, transformation logic, orchestration, validation, lineage, and implementation. Translate complex business requirements into: Data models and data flow diagrams Sequence diagrams Migration runbooks Integration specifications and architectural patterns Provide hands-on technical guidance to engineering teams during solution buildout, ensuring alignment to architectural standards. Collaborate with compliance functions to ensure architectural designs meet regulatory obligations (e.g., PCI-DSS, PSD2, AML, GDPR, electronic money regulations). Promote security-by-design across all components, focusing on card data handling, encryption, tokenisation, and access controls. Facilitate technical workshops and architecture design reviews with internal teams and external partners. Key Skills & Experience Experience as a Solution Architect in fintech, payments, card issuing/acquiring, or financial services. Demonstrated experience with large-scale platform, system, and data migrations. Hands-on expertise in designing ETL and data integration pipelines (Python, SQL-based orchestration, cloud-native ETL tools, messaging ingestion). Solid understanding of data engineering concepts with practical experience in SQL Server, MongoDB, Synapse, Fabric, and Snowflake. Familiarity with card-processing systems, scheme integrations, authorisation flows, transaction life cycles, and settlement processes; knowledge of cryptographic key migrations (e.g., EMV, PEK) is advantageous. Experience architecting microservices, REST APIs, event-driven architectures, and secure cloud services (Azure). Exceptional communication and collaboration skills, capable of working with senior stakeholders, external partners, and technical teams. Ability to balance strategic thinking with hands-on technical problem solving. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Feb 27, 2026
Full time
We are seeking an experienced Solution Architect to play a key role in an excellent client's large-scale platform migration programme focused on consolidating multiple payment and card-processing systems into a unified global ecosystem. The successful candidate will bring expertise in system migrations, ETL/data transformation pipelines, and cross-functional collaboration. You will work with engineering, product, operations, compliance, and partner teams to define and govern architecture that delivers secure, compliant, resilient, and high-performing outcomes. This can either be a mainly remote or hybrid role depending on what the successful candidate prefers. As well as competitive salary's, our client offers a comprehensive benefits package. Key Responsibilities Lead solution architecture for the migration and consolidation of regional card-processing and payments platforms into a modern, unified global environment. Design and own large-scale data migration and ETL processes, including data mapping, transformation logic, orchestration, validation, lineage, and implementation. Translate complex business requirements into: Data models and data flow diagrams Sequence diagrams Migration runbooks Integration specifications and architectural patterns Provide hands-on technical guidance to engineering teams during solution buildout, ensuring alignment to architectural standards. Collaborate with compliance functions to ensure architectural designs meet regulatory obligations (e.g., PCI-DSS, PSD2, AML, GDPR, electronic money regulations). Promote security-by-design across all components, focusing on card data handling, encryption, tokenisation, and access controls. Facilitate technical workshops and architecture design reviews with internal teams and external partners. Key Skills & Experience Experience as a Solution Architect in fintech, payments, card issuing/acquiring, or financial services. Demonstrated experience with large-scale platform, system, and data migrations. Hands-on expertise in designing ETL and data integration pipelines (Python, SQL-based orchestration, cloud-native ETL tools, messaging ingestion). Solid understanding of data engineering concepts with practical experience in SQL Server, MongoDB, Synapse, Fabric, and Snowflake. Familiarity with card-processing systems, scheme integrations, authorisation flows, transaction life cycles, and settlement processes; knowledge of cryptographic key migrations (e.g., EMV, PEK) is advantageous. Experience architecting microservices, REST APIs, event-driven architectures, and secure cloud services (Azure). Exceptional communication and collaboration skills, capable of working with senior stakeholders, external partners, and technical teams. Ability to balance strategic thinking with hands-on technical problem solving. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Principal Data Architect, Secure Government and Defence Programmes Location: UK, hybrid, client site as required Security Requirement: Developed Vetting (DV) clearance is mandatory. This role is only suitable for candidates who currently hold active DV clearance. Overview A leading UK consulting organisation delivering mission-critical digital and data transformation across defence, national security, and sensitive government environments is seeking a Principal Data Architect. This is a senior, client-facing role focused on defining and delivering secure, scalable data platforms within highly classified programmes. Due to the nature of the work and access to classified systems, only candidates with active DV clearance can be considered. Role Responsibilities Define and lead enterprise-level data architecture for complex, secure transformation programmes Architect end-to-end data platforms covering ingestion, integration, storage, governance, and analytics Design secure, resilient, and scalable architectures aligned with defence and national security requirements Translate mission and operational needs into technical data solutions Provide technical leadership across engineering teams and client stakeholders Contribute to capability growth, technical strategy, and thought leadership within secure environments Technical Environment Architectural responsibility across modern and legacy secure platforms, including: Multi-cloud platforms and secure data environments Data lakes, warehouses, and distributed data systems Data ingestion, orchestration, and integration tooling Cloud ecosystems such as AWS, Azure, and GCP Databricks, Snowflake, and similar modern data platforms Infrastructure automation, DevOps, and secure deployment patterns Data governance, metadata, and secure access frameworks Analytics, semantic layers, and enterprise reporting platforms Seniority and Leadership Expectations Operate at Principal Consultant or equivalent leadership level Own architecture strategy across large, complex client programmes Lead multidisciplinary teams across data, engineering, and delivery functions Provide strategic technical direction and advisory support to senior stakeholders Support business development, technical assurance, and capability development Essential Requirements Active DV clearance (mandatory, non-negotiable) Strong experience designing and delivering enterprise data architectures Experience working in defence, national security, or highly regulated government environments Deep understanding of secure data platform design and cloud architectures Strong stakeholder engagement and consulting capability Experience leading teams and delivering complex programmes
Feb 27, 2026
Full time
Principal Data Architect, Secure Government and Defence Programmes Location: UK, hybrid, client site as required Security Requirement: Developed Vetting (DV) clearance is mandatory. This role is only suitable for candidates who currently hold active DV clearance. Overview A leading UK consulting organisation delivering mission-critical digital and data transformation across defence, national security, and sensitive government environments is seeking a Principal Data Architect. This is a senior, client-facing role focused on defining and delivering secure, scalable data platforms within highly classified programmes. Due to the nature of the work and access to classified systems, only candidates with active DV clearance can be considered. Role Responsibilities Define and lead enterprise-level data architecture for complex, secure transformation programmes Architect end-to-end data platforms covering ingestion, integration, storage, governance, and analytics Design secure, resilient, and scalable architectures aligned with defence and national security requirements Translate mission and operational needs into technical data solutions Provide technical leadership across engineering teams and client stakeholders Contribute to capability growth, technical strategy, and thought leadership within secure environments Technical Environment Architectural responsibility across modern and legacy secure platforms, including: Multi-cloud platforms and secure data environments Data lakes, warehouses, and distributed data systems Data ingestion, orchestration, and integration tooling Cloud ecosystems such as AWS, Azure, and GCP Databricks, Snowflake, and similar modern data platforms Infrastructure automation, DevOps, and secure deployment patterns Data governance, metadata, and secure access frameworks Analytics, semantic layers, and enterprise reporting platforms Seniority and Leadership Expectations Operate at Principal Consultant or equivalent leadership level Own architecture strategy across large, complex client programmes Lead multidisciplinary teams across data, engineering, and delivery functions Provide strategic technical direction and advisory support to senior stakeholders Support business development, technical assurance, and capability development Essential Requirements Active DV clearance (mandatory, non-negotiable) Strong experience designing and delivering enterprise data architectures Experience working in defence, national security, or highly regulated government environments Deep understanding of secure data platform design and cloud architectures Strong stakeholder engagement and consulting capability Experience leading teams and delivering complex programmes
