10 of 10 Permanent Data Pipeline Jobs in Cambridgeshire

data engineering by providing insights, feedback, and technical recommendations that align with organisational goals.* Troubleshooting issues related to data integration, pipeline performance, and platform dependencies.* Working closely with other engineers and business users to understand requirements, translate them into technical specifications, and deliver effective solutions. … mindset enable you to address technical challenges efficiently while considering broader business impacts.* Demonstrated ability to design lakehouse architectures.* Experience implementing CI/CD pipeline management for reliable solution delivery. Robert Walters are proud to specialise in BI & Data recruitment across the UK, offering amazing opportunities ...

Title: Data Engineer Location: Cambridge (Hybrid - 2-3 days per week in office) Industry: SaaS/Technology Salary: £55,000 - £65,000 DOE The Opportunity I'm working with a fast-growing SaaS company in Cambridge that is looking to hire a Data Engineer to join … their expanding data and analytics team. This role is ideal for someone who enjoys building scalable data pipelines, designing ETL processes, and ensuring high-quality, reliable data for analytics and reporting . You'll work with product, engineering, and analytics teams to deliver data ...

Senior Data Analyst Location: Peterborough (HQ) Company: Trade Mastermind & Valente Consulting Employment: Full-Time Salary: £50 000-£60 000 We are seeking a highly capable Senior Data Analyst/Data & Insights Manager to take full ownership of our data function across … opportunities, and identify operational inefficiencies. You will support senior leaders with data-driven recommendations, forecast models, LTV analysis, CAC optimisation, and sales pipeline projections. You will also be responsible for segmentation, data list management, CRM uploads, dialler data operations, and ensuring all activity ...

observability and cloud infrastructure across the organisation Lead architecture across metrics, logs, and tracing systems Design and optimise high-throughput data pipelines and storage layers Implement strategies such as sampling, aggregation, and down-sampling Extend and enhance open-source observability tools at scale Partner with engineering teams ...

through to clinical development. They are looking for an Informatics Specialist (2-year FTC) to play a key role in shaping how scientific data is captured, structured, and shared across research teams. This backend-focused role will centre on database systems, APIs, and data pipelines, with … particular emphasis on integrating Electronic Lab Notebook (ELN) platforms—building solutions to extract, transform, and transfer data between systems to support collaboration and downstream research. In this role, you’ll collaborate closely with scientists and technical teams to design and deliver scalable data solutions, helping ...

ensuring robust device compliance aligned with Zero Trust principles. Harden AKS clusters through RBAC, secrets management, and runtime protection. Secure AI/ML data pipelines and models, implementing guardrails for model integrity and protection against prompt-injection threats. Cloud & Network Security Engineer secure configurations across Cisco Meraki infrastructure … Security, Defender, Sentinel, and AKS. Strong background in cloud security engineering, automation, and IaC. Experience with Zero Trust, endpoint security, CI/CD pipeline security, and modern cloud-native controls. Ability to lead through influence and technical authority rather than traditional line management. A problem-solver who thrives ...

, microbiome sequencing, clinical and real-world outcomes. Our goal is to translate biological signals into actionable compound discovery and optimisation, powering a pipeline across: Discovery → Prediction → Design → Validation We are looking for a Senior Computational Biologist with ML Engineering background to help build, bridge, and functionalise … intelligent ingredient complexes o repurposed peptides o newly discovered natural peptides 4) Productionise the AI product launch ● Build end-to-end ML pipeline covering ingestion, training, evaluation and deployment ● Develop APIs/services to serve predictions and ranked candidates into internal tools and client outputs ● Create evaluation harnesses ...

maintain momentum across several active research initiatives. You will take ownership of day‐to‐day technical work spanning research platform development, model evaluation, data management, and research operations. The role plays an important part in supporting human studies, community deployments, and evaluation workflows—ensuring that community input … while maintaining good engineering practices. Key Responsibilities: Develop and maintain a research platform supporting human‐in‐the‐loop evaluation, feedback tasks, and synthetic data workflows, including new experimental API and UI features (e.g. using FastAPI and React). Extend model evaluation pipelines, including quantitative metrics, qualitative review workflows ...

into a production service that enterprise customers can rely on. That means three things: building a robust, secure backend that handles sensitive enterprise data with confidence; creating interfaces that make complex AI-generated outputs legible and trustworthy to non-technical users; and working alongside … interrogate AI-generated outputs Build deployment pipelines, testing frameworks, monitoring, and observability to keep the platform reliable as we onboard customers Design secure data pipelines that handle sensitive data with appropriate access controls and audit trails Ensure the platform meets enterprise security and compliance expectations ...

highly applied role where you'll move quickly from concept to production, building systems that automate complex knowledge work such as literature review, data extraction, and target identification, while working closely with ML researchers, engineers, and scientists in a fast-paced, collaborative environment. You'll be responsible … development, testing, and deployment processes. You'll work across Python, LLMs, LangGraph, Pydantic AI, Crew AI, APIs, cloud platforms (GCP preferred), microservices, and data pipelines, contributing to scalable, high-performance AI solutions. We're looking for strong engineers with experience building production-grade systems in Python, integrating ...