18 of 18 Permanent Data Pipeline Jobs in York

Title: Data Engineer Location: York, 4x per week Salary: Up to £65,000 Why Apply? This is an opportunity to step into a high-impact Data Engineer role within a growing organisation that is investing heavily in its data capabilities. You'll play … central role in shaping a modern, cloud-based data platform that underpins analytics, reporting, and data products across the business. You will drive business value by designing, building, and maintaining a scalable, secure data platform. Delivering robust data pipelines and trusted datasets ...

Principal Data Engineer Location: Flexible UK Salary: £95,000 plus bonus of up to 17 per cent and a yearly equity gift worth 10 per cent of base I am working with a scaling technology organisation operating across multiple brands within the property and legal technology space. … business continues to grow and mature its data capability, they are now looking to hire a Principal Data Engineer to define and lead the technical direction of their data platform. This is a senior, highly influential role sitting above multiple engineering teams. While there ...

Databricks (including Delta Live Tables). Develop robust ETL/ELT workflows ingesting data from operational, telemetry, and third-party systems. Optimise pipeline performance, reliability, and cost efficiency in cloud environments. Ensure data quality, lineage, governance, and documentation across production systems. Collaborate cross-functionally with … analytics, product, and platform teams. Support CI/CD automation for data pipeline deployment. Contribute to reusable frameworks and engineering best practices within the team. Essential experience Candidates must have prior, hands-on experience working with at least one of the following APM platforms: Power Factors Bazefield ...

leading data consultancy is seeking an experienced Senior Data Engineer to join their team and deliver cutting-edge solutions for a major transportation project. This is an exciting opportunity to work on a high-impact initiative for a well-known UK transport provider, leveraging modern cloud … technologies to transform data capabilities. About the Role The successful candidate will play a key role in designing and implementing scalable data solutions using the Microsoft Azure Data Stack. You'll work closely with stakeholders to translate business requirements into robust technical architectures, ensuring ...

continually refine the AI initiatives portfolio and roadmap for the group. Run a structured intake process for new ideas, assessing value, feasibility, data readiness, ethical risk, and compliance. Define clear success measures for every proof of concept (PoC) and MVP, including KPIs, leading indicators, and decision gates … weeks) using Agile methods (Scrum or Kanban) with regular demos and retrospectives. Build and lead cross-functional squads including Product Owner, Data Scientists, ML Engineers, Integration Engineers, Solution Architect, and domain experts from Admissions, Registry and Student Services. Design experiments, test hypotheses, and iterate quickly, ensuring human ...

market, and have deployed them in the UK, US, Canada, Australia, France and elsewhere. As we expand, we are building a dedicated data science function to refine and optimise our existing models, and to create new ones that help us to maintain our position as a leader … field of public opinion. We're looking for someone who's comfortable working with unstructured data, and can turn it into clear outputs that deliver actionable insight for clients. You'll be curious about public opinion and how a richer understanding of it can be of value ...

Apply? Take ownership of the BI engineering backbone for a forward thinking organisation, supporting the delivery of high quality data solutions. This role offers the chance to optimise data pipelines, manage backend BI systems, and develop scalable reporting solutions in a collaborative and supportive environment. … drive business value by building, maintaining, and optimising the organisation's BI systems. You will manage backend datasets, pipelines, and reporting platforms, supporting data-driven decision-making across the business. Key Responsibilities: Design, develop, and maintain scalable BI solutions, dashboards, and reports in Power BI. Prioritise and manage ...

Data & Defence Engineering Roles Engineer to Managing Consultant | Defence, National Security & Critical Infrastructure London, Newcastle, Manchester, Glasgow We are supporting a leading UK technology and transformation consultancy delivering secure AI, data engineering, and advanced analytics solutions across Defence, National Security, and critical government programmes. The focus … technically hands-on, with scope for leadership depending on experience. The Role You will work as part of multidisciplinary engineering teams delivering AI, data platforms, and analytics solutions in secure environments. Depending on level, you will either contribute directly to engineering delivery or lead technical workstreams. Key responsibilities ...

assist tools Own end-to-end delivery of AI features: architecture, development, deployment, monitoring, and iteration Drive technical excellence across APIs, microservices, and data pipelines Oversee code quality, testing standards, release cycles, and CI/CD pipelines Work closely with product, infrastructure, and operations teams to ensure reliability ...

roadmap, combining leadership of architecture and engineering practice with hands-on development of prototypes and production features. You'll partner with Product, Data, and Platform Engineering to design and integrate AI-driven capabilities such as voice/chatbots, natural-language analytics, and predictive models. This role balances strategic … feasibility studies for emerging AI technologies. Collaborate with Product Management to scope AI features and align them with business goals. Partner with Data Engineering to operationalize models, manage training data, and implement monitoring and retraining pipelines. Work closely with Development, DevOps, and QA teams to ensure ...

robust engineering, governance, and scalability. Responsibilities Design, build, and deploy machine learning models into production within a Financial Services environment Collaborate closely with Data Scientists, Software Engineers, Risk, and Product teams Build and maintain end-to-end ML pipelines (training, validation, inference, monitoring) Ensure models meet requirements around … skills and hands-on experience with ML libraries (TensorFlow, PyTorch, scikit-learn) Experience deploying and supporting ML models in production Solid understanding of data pipelines, versioning, testing, and software engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk ...

assess, and respond to third-party and supply-chain risks through advanced AI-driven analytics and intelligence. Their mission is to deliver continuous, data-backed visibility into the extended enterprise — enabling organizations to identify vulnerabilities, map their digital ecosystems, and make informed decisions about vendor and partner risk. … Product to lead a world-class technical team, shape the architectural vision, and drive execution across multiple product streams — including large-scale data pipelines and real-time risk intelligence systems. Role Overview: As Head of Product you will be responsible for owning the product roadmap and execution ...

could get involved with: Developing and maintaining software and infrastructure for web applications. Integrating AI/ML components with frontend, backend, data, and compute infrastructure. Ensuring high-quality software delivery through automated testing, documentation, and adherence to best practices. Monitoring and improving key performance metrics for tools … services. Participating in code reviews, and contributing to continuous improvement of team standards and practices. Collaborating with data engineers and technical staff across teams to build end-to-end data pipelines. Supporting deployment workflows and contributing to the evolution of cloud architecture and infrastructure. Why Join ...

growth, scaling the platform, and building a high-performing engineering team. About the Role You will take full ownership of the platform architecture, data pipelines, integrations, and multi-tenant SaaS infrastructure. This is a highly visible, strategic role where you will work closely with the founder and early … customers, ensuring the platform is scalable, secure, reliable, and enterprise-ready. Key Responsibilities Own the full platform architecture, including ingestion, scoring, data stores, APIs, and dashboards. Lead AI/ML-powered enrichment and scoring systems. Build and scale microservices, event-driven pipelines, and automated intelligence workflows. Harden cloud ...

What You Might Be Doing As an Full-stack Engineer at GSK, you could get involved with: Developing front-end applications and interactive data visualizations. Integrating AI/ML components with backend systems and data pipelines. Building and maintaining cloud-based infrastructure for large-scale applications. … disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/immunology and oncology). Our success absolutely depends on our people. While ...

based team, with opportunities to work from Newcastle, Aberdeen, Glasgow or London This role is ideal for someone who enjoys turning complex spatial data into smart, scalable web applications. The Geospatial Developer will design, build and maintain geospatial tools that support offshore wind and energy projects, working closely … with engineers, geoscientists and developers across disciplines. The role spans full-stack development, geospatial analysis and data engineering, from slick front ends to robust back ends, with plenty of opportunity to get involved in R&D, proposals and technical innovation What they'll be doing: Developing geospatial ...

Conducting user research to identify risks, failure modes, and usability challenges in AI-powered systems. Integrating AI/ML components with frontend, backend, data pipelines, and compute infrastructure. Writing high-quality, maintainable code and participating in peer code reviews. Collaborating with data engineers and cross-functional … teams to build end-to-end ML pipelines. Delivering insights from generative AI datasets using ML and data analysis techniques. Supporting the deployment and monitoring of AI/ML models in production environments. Why Join Our Talent Pool? Be the first to hear about new AI/ ...

Apply? Take ownership of the BI engineering backbone for a forward thinking organisation, supporting the delivery of high quality data solutions. This role offers the chance to optimise data pipelines, manage backend BI systems, and develop scalable reporting solutions in a collaborative and supportive environment click ...