2 of 2 Permanent ETL Jobs in Cambridge

backend or data engineering foundationHands-on experience with containerisation and orchestration (Docker, Kubernetes), and working with a major cloud providerExperience building data pipelines and ETL/ELT processes at scale, including web scraping or automated data collectionA solid understanding of the ML lifecycle, from data through to model training, evaluation ...

design and maintenance of our scientific ontology, ensuring efficient data storage, retrieval, domain coverage, and integration with our software platformPipeline Development: Implement ETL pipelines for ingesting, cleaning, and transforming scientific datasets from multiple sourcesData Analysis and Modeling: Apply statistical and machine learning techniques to analyse scientific data, identify trends, and ...