Data Engineer – Fully Remote (EMEA timezone)

Oxford Knight; London; Remote; GBP 74,000 - 90,000; Full time

Job summary

A growing crypto trading firm in London seeks an experienced data engineer to design and maintain their data infrastructure. The role involves building efficient data pipelines and supporting data-driven decision-making. Candidates should have over 5 years of experience, strong Python and SQL skills, and familiarity with AWS and Kubernetes. This position offers competitive salaries, flexible hours, and opportunities for work-life balance including paid 'workations'.

Benefits

Competitive salaries + performance-based bonuses

Flexible hours and healthy work-life balance

Biannual paid workations

Qualifications

• 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.

Responsibilities

• Design and maintain well-architected data infrastructure for trading platform.
• Work on high-volume data pipelines ensuring reliability and observability.
• Build ML-ready infrastructure and take ownership of Clickhouse data warehouse.

Skills

Data Engineering

Python

SQL

AWS Services

Kubernetes

Kafka

Job description

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

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