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2 devops jobs found in Edinburgh

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Data Engineering  (2) Business Intelligence  (2) DevOps  (1) Data Warehouse  (1)
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Full time  (2)
GoFibre
26/12/2025
Full time
Azure Data Engineer
GoFibre Edinburgh, UK
Azure Data Engineer £47,000 - £56,000 Benefits: 31 days holiday, discounted gym membership, enhanced pension, private healthcare, employee wellbeing support and career coaching WHO WE ARE At GoFibre we're on an exciting journey to revolutionise broadband capabilities for homes and businesses in rural towns and villages across Scotland and the north of England, connecting communities and affording them digital capability equal to their city counterparts; whilst being as environmentally conscious as possible, and creating social value in the areas we serve. Our story is only just beginning. We're growing fast and we don't intend to slow down anytime soon as we play our part in ensuring future-proof full fibre coverage. We continue to raise investment for our infrastructure, service and people through our top-notch partnerships, and we're confident and enthusiastic about what is coming next for the GoFibre family, as we strive to connect hundreds of thousands of...
Blis
01/12/2025
Full time
Senior Data Engineer - Scotland
Blis Lochrin Terrace, Edinburgh EH3 9QJ, UK
Come work on fantastically high-scale systems with us! Blis is an award-winning, global leader and technology innovator in big data analytics and advertising. We help brands such as McDonald's, Samsung, and Mercedes Benz to understand and effectively reach their best audiences. We are looking for solid and experienced Data Engineers to work on building out secure, automated, scalable pipelines on GCP. We receive over 350gb of data an hour and respond to 400,000 decision requests each second, with petabytes of analytical data to work with. We tackle challenges across almost every major discipline of data science, including classification, clustering, optimisation, and data mining. You will be responsible for building stable production level pipelines maximising the efficiency of cloud compute to ensure that data is properly enabled for operational and scientific cause. This is a growing team with big responsibilities and exciting challenges ahead of it, as we look to reach...
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