10 of 10 Remote/Hybrid Data Pipeline Jobs in the East of England

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 ...

client, a prominent entity in the Defence and Security sector, is currently seeking a dedicated Data Engineer to join their team in a permanent capacity. Key Responsibilities: Build, configure, and maintain a modern cloud-based data platform in alignment with architectural blueprints and design standards. Develop … robust data pipelines that ingest, transform, and publish data from multiple source systems into trusted reporting layers. Ensure solutions support financial reporting requirements including accuracy, completeness, auditability, and traceability. Collaboration & Technical Input: Work closely with Data Architects to refine designs, challenge assumptions, and contribute ...

travel to travel to the Dunstable office when required to. Key Responsibilities Architect, develop, and maintain Power BI dashboards, datasets, and advanced data models Be the key point of contact for all PowerBI, MS Fabric, SQL and other BI Development issues Mentor and train junior BI Developers … best practices and methodologies Lead ETL/ELT development within a modern cloud-based data platform Build and optimise data pipelines across ingestion, transformation, and modelling layers Ensure data quality, governance, and performance across BI solutions Collaborate with cross-functional teams ...

reporting tools. Some of the main responsibilities of the Power BI Analyst will include: Develop, maintain, and enhance Power BI dashboards and data models to support Quality performance monitoring and informed project decision-making. Produce weekly, monthly, and quarterly performance reports that deliver clear, actionable insights to Quality … Leadership. Ensure the integrity, accuracy, and validation of all Quality data, guaranteeing alignment with actual project progress and performance. Lead the analysis, interpretation, and presentation of complex datasets across multiple Quality reporting disciplines. Identify trends, anomalies, and root causes, supporting the development and implementation of improvement action plans ...

within Birketts’ core ecosystem, including Microsoft 365 (Copilot), iManage (Document Management), Aderant Expert (Practice Management), Intapp Intake (new client onboarding) and Microsoft Fabric (data platform). Azure is a likely hosting platform for any future ‘Birketts-approved AI environment’, subject to requirements and build vs buy decisions. … repeatable AI-enabled workflows. This role is delivery-oriented: you will design, build and ship incremental improvements, partnering with colleagues across Development, Data, Security, Knowledge Management and Learning & Development to drive adoption, skills sharing and effective change management. You will also support evidence-based build vs buy decisions ...

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 ...

devices in the field. Key Responsibilities Develop and maintain scalable backend services using Python (Django) and AWS Design and build robust APIs and data models for both internal and customer-facing applications Work with IoT communication protocols (e.g. MQTT, HTTP) to integrate with field devices Contribute … development of frontend interfaces using React Build and optimise pipelines for ingesting and querying large-scale time-series data Collaborate with cross-functional teams including hardware and edge engineering Troubleshoot and resolve production issues in a fast-paced environment Contribute to system design, architecture discussions, and technical decision ...

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 ...