4 of 4 Permanent Big Data Jobs in Oxford

engineering, product, and data. The CPTO will champion the agile development of scalable cloud architectures and drive automation, detection accuracy, and actionable insights through big data and AI/ML integration. With full autonomy to shape the team and tech roadmap, the successful candidate will position EIT Oxford … at the forefront of infectious disease genomics, playing a central role in realising the ambition to create the world's largest pathogen data and analytics platform. Key Responsibilities: Strategic Leadership Define and oversee the product vision and roadmap for the program's data platform and pathogen detection system … diagnostics in collaboration with partners. Product Development and Delivery Lead multidisciplinary teams in the agile development of scalable, cloud-native platforms and user-centric data products. Collaborate with the Principal Scientist and Chief Medical Officer to ensure seamless integration of products into clinical pathways while meeting safety, regulatory, and More ❯

Job Description We’re looking for an experienced Data Engineering Manager to lead a team in designing and building cutting-edge data solutions, driving the strategy for a fast-growing, innovative company. If you're passionate about building scalable data platforms, optimising pipelines, and empowering teams to … leverage data effectively, this could be your next big move! What You’ll Do: Lead and mentor a team of data engineers, fostering a high-performance culture Design, build, and optimise data pipelines and platforms to support business insights Work with modern cloud-based data technologies to ensure scalability and efficiency Collaborate with cross-functional teams to drive data-driven decision-making Ensure best practices in data governance, security, and reliability Key Skills & Experience: ✔️ Proven experience leading data engineering teams in a fast-paced environment ✔️ Strong expertise in SQL, Python, and More ❯

+ GCP , must also have multiple Kubernetes certs (administrator, developer, expert etc).** Our client is looking to migrate its on-prem Hadoop-based data and analytics capability to a Kubernetes-based infrastructure. They already have a Kubernetes platform (the Internal Kubernetes Platform or IKP) but this is focused … of hands on Kubernetes experience Experience with multiple K8S distributions - at least 2 distros. Experience building and deploying clusters Knowledge of GKE Experience with data lakes/data warehousing Strong understanding of Kubernetes security. Able to navigate through CNI and CSI configurations/issues. Experience with Helm charts … Required Strong communication skills are essential as is experience of running a technical development/support team. Analytical approach to problem resolution. Enthusiastic about Big Data technologies, needs to be a proactive learner. Comfortable with agile planning methods. Strong communication and stakeholder management skills. Intellectually curios. Willing to More ❯

the future of computational research by leading the development of cutting-edge infrastructure to support high-performance computing, AI-driven analytics, and large-scale data processing. Working at the intersection of genomics, synthetic biology, and chemistry, you'll collaborate with researchers and technical teams to design tailored computational solutions … ensuring compliance with data management best practices. You'll recruit, mentor, and lead a multidisciplinary team while optimising computing resources for scalability and efficiency. Key Responsibilities: Lead the development and implementation of a strategic vision for scientific computing, integrating advanced technologies to support large-scale data processing, high … computing, and AI-driven analytics in genomic research. Oversee and manage the scientific computing infrastructure, ensuring it meets the evolving needs of computational biology, data analysis, and laboratory automation across diverse research programs. Collaborate closely with researchers and technical teams to design and implement computational solutions tailored to applications More ❯