17 of 17 Data Pipeline Jobs in Gloucestershire

hybrid working when possible Must hold active Enhanced DV Clearance (West) Competitive Salary DOE - 6% bonus, 25 days holiday, clearance bonus Experience in Data Pipelines, ETL processing, Data Integration, Apache, SQL/NoSQL Who Are We? Our client is a trusted and growing supplier … delivering mission-critical solutions that help keep the nation safe, secure, and prosperous. You'll work with cutting-edge technologies including AI/Data Science, Cyber, Cloud, DevOps/SRE, and Platform Engineering. They have long-term contracts secured across the latest customer framework ...

This role is fully remote in UK, with full work authorization already in effect. No Visa sponsorship is available. Job Description In a data-driven and AI-oriented environment, you will be responsible for the design, industrialization, and optimization of inter-application data pipelines. You will … Languages: Advanced SQL and Python for data manipulation, automation, and ML integration. Data Engineering: Proven experience in ETL/ELT pipeline design. AI/ML Integration: Ability to prepare data for model training and deploy AI models into production workflows (batch or real ...

hybrid working when possible Must hold active Enhanced DV Clearance (West) Competitive Salary DOE - 6% bonus, 25 days holiday, clearance bonus Experience in Data Pipelines, ETL processing, Data Integration, Apache, SQL/NoSQL, Team Leadership Who Are We? Our client is a trusted and growing supplier … delivering mission-critical solutions that help keep the nation safe, secure, and prosperous. You'll work with cutting-edge technologies, including AI/Data Science, Cyber, Cloud, DevOps/SRE, and Platform Engineering. They have long-term contracts secured across the latest customer framework ...

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 ...

Data Engineer Location: Gloucester (Hybrid 2 days per week on-site) Salary: Up to £61,000 Benefits: 20% pension + additional benefits package Our client, a leading organisation with a growing internal data capability, is hiring a Data Engineer to support the continued development … integration of modern Microsoft data platforms. This is a strong opportunity to join an expanding in-house team and play a key role in shaping the future data landscape, with a particular focus on Azure and Microsoft Fabric. Youll be part of a collaborative environment where ...

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 ...

Data Engineer Salary: £50,000 - £70,000 I am working with a leading organisation that is delivering innovative data solutions to support complex, high-impact projects. This role offers the opportunity to work on challenging and rewarding assignments where you will design and build scalable data … Python or similar programming languages. Awareness of APIs for data retrieval and integration. Experience in stakeholder management and requirements gathering. Understanding of pipeline scheduling and health checks. Some of the package/role details include: Salary up to £70,000 £5,000 annual professional development budget Wellness ...

Role As a Data Engineer, you'll be responsible for designing, building, and maintaining robust data pipelines and architectures. You will work closely with stakeholders to understand complex data challenges, transform raw data into meaningful insights, and support analytics and reporting. This … includes working with batch, streaming, real-time, and unstructured data, applying distributed compute techniques to handle large datasets efficiently. Key Responsibilities Develop and maintain data ingestion pipelines and orchestration workflows Design database schemas and data models Integrate and enrich data from multiple ...

Senior Data Engineer | Gloucestershire | DV Clearance | £60,000-£80,000 Remote working: Onsite Working Pattern: Full-time or 4 day working week available Security Clearance: UK DV The Opportunity A leading UK organisation operating at the forefront of cyber security and data engineering is seeking … Senior Data Engineer to join a specialist data practice supporting defence, government, and critical national infrastructure programmes. This is a hands-on role working with secure, large-scale data platforms in highly regulated environments. What You’ll Do Design and build secure, scalable data ...

Working On Infrastructure Management: Docker management, Jenkins pipelines, Kubernetes deployments, VM management, and application/tool deployment. Automation: Deploy tools and scripts to data pipelines for processing incoming data, including Apache NiFi development . UI & Application Development: Build user and system interfaces to make information accessible … infrastructure, automation, or UI development. Hands-on experience with Docker , Kubernetes , Jenkins , and scripting for automation. Familiarity with Apache NiFi and data pipeline development. Ability to work collaboratively in a fast-paced environment and deliver high-quality solutions. Why Join Us? This is a chance to work ...

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 ...

About The Role Job level: 10 Were looking for a Lead Data Engineer to join our Data Engineering and Analytics practice. In this role, you will: Lead the design, development, management and optimisation of data pipelines to ensure efficient data flows, recognising … sharing opportunities to reuse data flows where possible. Coordinate teams and set best practices and standards when it comes to data eng... ...

across supervised and unsupervised learning use cases. Collaborate with backend and frontend teams to integrate AI features into products. Guide architectural decisions around data pipelines, model serving, and infrastructure. Mentor mid-level and junior developers through reviews, knowledge sharing, and technical leadership. Stay up to date with advances … frameworks such as TensorFlow, PyTorch, or scikit-learn. Experience working with LLMs, NLP, computer vision, or recommendation systems. Solid understanding of data pipelines, feature engineering, and model evaluation. Experience with cloud platforms (AWS, Azure, or GCP) and ML deployment strategies. Strong communication skills and experience mentoring or leading ...

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 ...

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 ...

Translate logical designs into robust, real-world implementations Work with both established and emerging technologies to identify the right patterns Integrate APIs, UIs, data stores, and backend services Maintain and enhance data pipelines, data stores, and REST APIs Contribute to Agile delivery and team ...

journey, designing and delivering innovative solutions built on Azure's cutting-edge capabilities. You turn complex ideas into practical, scalable applications, bridging data, cloud services, and intelligent models. With your technical insight and clear communication, you empower customers to confidently adopt AI and drive meaningful impact across their … tool/agent orchestration, and fine-tuning where appropriate. Implementing MCP-based integrations between AI services and existing application components (web apps, APIs, data platforms) for seamless collaboration. Design and optimize data pipelines that prepare structured and unstructured data for model training ...