Data Engineer job opportunity at Ellison Institute of Technology.

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Date2025-12-12T14:05:33.572Z bot
Ellison Institute of Technology Data Engineer
Experience: General
Pattern: full-time
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degreeHigh School (S.S.C.E)
loacation Oxford, United Kingdom
loacation Oxford....United Kingdom

At the Ellison Institute of Technology (EIT), we’re on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, policy makers, and entrepreneurs to tackle humanity’s greatest challenges in four transformative areas: Health, Medical Science & Generative Biology Food Security & Sustainable Agriculture Climate Change & Managing CO₂ Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you’ll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas for lab to society. Explore more at  www.eit.org The Role: Our Data Engineering Team builds the core data systems that power frontier research across EIT. As an early member of our Data Engineering team, you’ll design and build the platforms used by scientists and engineers in fields such as healthcare, robotics, agriculture, and AI. You’ll work alongside our MLOps and Infrastructure teams to create reliable, scalable systems capable of handling large-scale (from TB to PB+), multimodal datasets.  EIT is unique in combining foundational data from diverse disciplines into a single research ecosystem. You’ll help develop the technical foundation that makes this possible: platforms, services, APIs and distributed systems that are robust, observable and easy to work with. This is a role for engineers who think long-term and want to build a platform that will underpin the next generation of scientific and technological discovery. Day-to-Day, You Might: Design and build distributed data systems that support research across EIT’s scientific domains.  Architect APIs and services for high-throughput, low-latency access to multimodal datasets.  Work with MLOps, Infrastructure and data engineers embedded within research teams to integrate systems into active research workflows.  Develop pipelines for large-scale text, audio, video, imaging, sensor, and structured data on OCI.  Add observability, monitoring, and automated quality checks to ensure the trustworthiness of every dataset.  Contribute to an engineering culture that values maintainability, testing, clear system design, and deep collaboration with our researchers and scientists.    What Makes You a Great Fit: You have strong programming experience in Python and SQL, and value code quality, reliability (including testing, CI/CD) and observability as much as performance.  You have experience designing, deploying, and optimising distributed data systems or data-intensive backend services.  You think in terms of systems and longevity, not just one-off ETL scripts, and embrace end-to-end ownership from low-level performance to user interfaces.  You’re a collaborative partner to Infrastructure/Ops teams and researchers; clear, respectful communicator.  You have a low-ego, team-first mindset and help grow our engineering culture by mentoring, sharing, and elevating the work of those around you.  Great to Also Have  Nobody checks every box - if you’re not sure if you’re qualified, we still encourage you to apply.  You’re used to working with modern tech stacks and developing for distributed systems, for example Spark/Flink/Kafka, Polars/Arrow, Airflow/Prefect.  You’ve contributed to shared Python libraries used across multiple teams and maintained dependency and packaging standards (e.g. Poetry, pip-tools).  You have experience integrating multimodal datasets (text, video, imaging, sensor data) into unified platforms.  You’ve designed and optimised robust, high-performance APIs for data ingestion/consumption using tools such as FastAPI, gRPC, and GraphQL, and use tools such as Prometheus and OpenTelemetry to maintain SLAs.  You’re curious about database internals, storage engines, and low-latency query processing.  You’ve built web apps and dashboards using tools such as Dash or frameworks like React.  You’ve managed schema evolution, data versioning, and governance in production with tools such as Open Policy Agent and Apache Hive Metastore. 

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