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Ellison Institute of Technology Oxford
Ellison Institute of Technology Oxford
51 – 200 Employees
ConsultingFood & BeverageLogistics
Ellison Institute of Technology Oxford develops and applies science and technology to complex global challenges. Its interdisciplinary work spans health and medical science, food security and sustainable agriculture, climate change and clean energy, and government innovation. The Institute brings together research, technology, and practical implementation to help turn scientific progress into solutions with broad societal impact, including work connected to food and beverage, consulting, and logistics.
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Forward-Deployed Data Engineer – Oxford Hybrid

Build reproducible biological data pipelines as a Forward-Deployed Data Engineer at the Ellison Institute of Technology Oxford. Support AI, robotics, and life-science research by turning scientific data into practical resources.

GBUnited KingdomHybridFull-timeMiddleSeniorEnglish RequiredData Engineer
CloudDockerKubernetesLinuxPythonRaySpark

Description

  • Collaborate with scientists and engineers to build robust, reproducible data pipelines across disciplines.
  • Connect core data systems with research and engineering initiatives throughout EIT.
  • Promote consistent data engineering practices across the institutes.
  • Maintain datasets that are accurate, reproducible, version-controlled, well structured, and suitable for machine learning.
  • Transform information from diverse sources into reliable, high-quality data resources.
  • Manage the ingestion, storage, curation, and transformation of biological datasets in varied formats.
  • Containerize and deploy code in research environments, including with Docker.
  • Scale data processing across distributed cloud warehouses and storage using Kubernetes, Slurm, Spark, or Ray.
  • Support maintainable engineering, effective testing, resilient system design, rapid prototyping, and collaborative delivery.

Requirements

  • Strong programming expertise in Python.
  • A clear commitment to code quality, reliability, and readable implementation.
  • Advanced knowledge of data storage and manipulation, including relational systems, sharding, parallelization, indexing, and scalability.
  • Experience using cloud computing platforms and working across varied Linux environments.
  • Experience handling data systems at scale, particularly distributed or parallelized platforms.
  • Knowledge of data engineering and data management practices, including reproducibility, version control, schema design, lineage, and single sources of truth.
  • A systems-oriented approach with end-to-end ownership, from low-level performance through user interfaces.
  • Experience preparing data for machine learning pre-training, post-training, and evaluation.
  • A scientific background, with genomics, proteomics, or related qualifications or experience valued.
  • Experience in bioinformatics and with industry-standard tools such as NextFlow valued.
  • Permanent right to work in the UK.
  • Willingness to travel when required.

Benefits

  • Salary determined according to experience.
  • Travel allowance.
  • Bonus.
  • Enhanced holiday entitlement of 25 days annual leave, 8 bank holidays, and 3 additional days between Christmas and New Year.
  • Option to buy up to 5 additional annual leave days in January and July.
  • Pension with a 7.5% employer contribution and a minimum 5% employee contribution.
  • Life assurance.
  • Income protection.
  • Private medical insurance for employees, partners, and dependents, including a hospital cash plan.
  • Employee discounts.
  • Electric car scheme.
  • Nursery salary sacrifice scheme.
  • Cycle to Work Scheme.
  • Family planning support.
  • Neurodiversity support, including advice and assessments.
  • Coaching and therapy services.

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