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Data Engineer – Fully Remote (EMEA timezone)

Oxford Knight
Greater London
1 month from now
Applications closed

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Salary: up to $100-120k USD base + 30-60% bonus

Summary: 

This growing crypto trading firm has seen steady growth over the last 3-4 years – not being adversely affected by the wild swings in crypto success due to their robust and sensible arbitrage strategies. Hugely tech-driven, they have been developing and improving HFT algorithms for more than 10 years, with a tech team boasting engineers from some of the world’s top market makers and hedge funds.

Looking for an experienced data engineer to design and maintain well-architected data infrastructure that underpins the trading platform. This is a high-impact role supporting the data-driven decision-making area, where you’ll work on high-volume data pipelines, ensuring reliability and observability, plus direct involvement in building ML-ready infrastructure. Additionally, you’ll take ownership of the Clickhouse data warehouse.


If you’ve worked with modern data stacks, enjoy building efficient pipelines and thrive in environments where data precision and scalability matter, this role would be perfect for you.

Skills and Experience Required:

5+ years’ professional experience in data engineering/backend infrastructure


Strong background in Python, including OO programming & testing
Excellent SQL skills: complex joins, window functions, optimization
Experience with: AWS services (S3, EKS, RDS); Kubernetes and Helm
Familiarity with Kafka architecture and workflow schedulers (Argo, Airflow, Kubeflow, etc.)

Desirable:

ML infrastructure support, e.g. feature pipelines, training data workflows

Benefits:

Fully remote working


Competitive salaries + performance-based bonuses
Flexible hours and a healthy work-life balance
Chance to work across the full lifecycle – from ingestion to analytics – with a high-performing cross-functional team
Biannual week-long paid-for ‘workations’: get to know your colleagues in person on regular work retreats

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

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