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Data / ML Ops Engineer - up to £85k base salary (Hybrid - Oxford - 1/2 days per week)

2 months ago

England, United Kingdom Saragossa Full time

Do you fancy testing your engineering mettle in the world of energy trading?


You will be heading up the data platform at a growing renewable energy trading firm, crafting your own data processes, data warehouses and pipelines from scratch, whilst supporting a talented team of data scientists and traders with ML orchestration and support.


It’s a super opportunity for Data Engineers with strong Python, AWS and Terraform (for IAC) experience. Having exposure to containerisation tools like Kubernetes or Docker as well as knowledge of time series analysis, database design and data visualisation would be a big plus. Energy domain knowledge would also be preferable but is not considered a hard requirement for the role.


You will join as an individual contributor and operate as the first ML Ops/Data Engineering hire, giving you the license and authority to shape processes and architecture yourself within a fluid company framework that allows for personal and career development. Your soft skills will be just as important as the technology, as the firm has an open and friendly culture for you to contribute to.


You’ll need to come from a strong academic background, preferably commercially or computationally oriented, and carry around 5 years of data engineering experience. You will be rewarded well with a base salary of up to £85k.


This UK-based company have grown to over 100 headcount and have expanded their presence to the USA and Australia, becoming a global leader in battery storage optimisation and renewable energy assets. Their services combine advanced algorithmic forecasting with a talented team of in-house power traders. Their office is based in Oxford, but the company are flexible on office days.


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