4 of 4 Permanent Data Pipeline Jobs in Oxford

Job Title: Business Intelligence (BI) Analyst Location: Oxford (2 days on-site) Salary: £35,000 - £50,000 DOE + Bonus About Us We're a fast-growing data consultancy helping forward-thinking clients transform their customer engagement through intelligent use of CRM platforms and AI. We specialise in building integrated data ecosystems that drive smarter business … insights, and measurable ROI. Our clients range from scaling SaaS startups to global enterprises across sectors like retail, finance, technology, and healthcare. We work at the intersection of data, automation, and customer intelligence . As we scale, we're looking for a talented BI Analyst to join our analytics team and help our clients extract true business value … from their data. The Role As a BI Analyst , you will play a critical role in helping our clients understand and optimise their CRM and business performance through data-driven insights. You'll work closely with client stakeholders, CRM specialists, and data engineers to develop scalable dashboards, uncover trends, and turn data into action. More ❯

innovation and collaboration. We are committed to cultivating a community of excellence through trust, innovation, and resilience, valuing diverse experiences and expertise. Requirements The Role: We seek a Data Engineer to develop and deploy a data platform supporting AI initiatives at EIT. You will be responsible for building scalable data infrastructure and pipelines, collaborating … with multidisciplinary teams. Key Responsibilities: Design and implement scalable data pipelines and infrastructure Develop data processing systems using cloud technologies Optimize data storage and retrieval for AI applications Support AI/ML model development and deployment Evaluate and adopt new data technologies Collaborate with scientists, researchers, and operational teams Qualifications & Experience: Extensive … Python programming experience in enterprise environments Knowledge of data modeling, ETL, data warehousing, and SQL Cloud computing experience Strong communication skills Innovative mindset and ability to solve challenges creatively Ability to work in a fast-paced, startup-like environment Nice to have: Familiarity with AI/ML workflows Experience with Docker/Kubernetes Knowledge of Git More ❯

to humanity's enduring challenges. We are looking for a Senior DevSecOps Engineer to join the Pathogen Programme at EIT. In this role, you'll help ensure our data platform is built to the highest standards, with a strong emphasis on automation across the development lifecycle. You'll work closely with engineers to deploy data pipelines … their workflows. You'll be responsible for maintaining infrastructure, designing secure automation pipelines, managing cloud environments, and ensuring security and compliance. You'll collaborate with cross-functional teams, data engineers, backend, and full-stack developers, to build robust, automated deployment pipelines across our environments. Key Responsibilities Design, implement, and maintain secure cloud infrastructure using Oracle Cloud Infrastructure (OCI … tools like Terraform to enable secure, repeatable deployments. Implement and manage CI/CD pipelines, focusing on automated security testing, deployment, and monitoring. Ensure all aspects of the data platform OCI infrastructure, data ingest pipelines, tool deployments, access controls, and monitoring are developed, tested, and deployed using automation best practices. Support bioinformaticians in building pipelines that More ❯

will play a key role in developing and maintaining high-impact applications that support our global scientific and commercial operations. You will contribute to systems that power our data analysis platforms and next-generation telemetry infrastructure, helping us deliver world-class sequencing technology to researchers worldwide. Key Responsibilities: Design, build and maintain data-intensive web applications … with: Strong experience in production-level Python development A background in building and maintaining web applications or APIs Experience with automated testing, deployment, and containerised environments Knowledge of data pipelines, workflow engines, and cloud-native architectures This role is ideal for someone who thrives in a dynamic, fast-paced environment, embraces change, and is motivated by meaningful work More ❯