Low-Latency Data Engineer – Crypto HFT (London, Onsite)

Low-Latency Data Engineer – Crypto HFT (London, Onsite)

Full-Time 50000 - 50000 Β£ / year (est.) No working from home possible
Harrington Starr

At a Glance

  • Tasks: Transform raw exchange feeds into high-quality market data with cutting-edge technology.
  • Company: Join a leading crypto HFT firm in the heart of London.
  • Benefits: Competitive salary, hands-on experience, and a dynamic team environment.
  • Other info: Fast-paced, collaborative environment with opportunities for growth.
  • Why this job: Be at the forefront of crypto technology and make a real impact.
  • Qualifications: Proficiency in Python, Rust, SQL, and AWS is essential.

The predicted salary is between 50000 - 50000 Β£ per year.

Harrington Starr partners with a leading crypto HFT firm in London to hire a Data Engineer.

You will own pipelines transforming raw exchange feeds into production-grade market data, working with a tight, highly skilled engineering team onsite.

The role emphasizes low latency, data quality, and resilience, with hands-on work across ingestion, storage, APIs and monitoring.

Proficiency in Python, Rust, Polars, SQL, AWS and streaming tech is expected, in a collaborative, fast-paced environment.

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Low-Latency Data Engineer – Crypto HFT (London, Onsite) employer: Harrington Starr

Join a leading high-volume futures trading organisation in London, where you will play a pivotal role in ensuring the stability of critical trading and clearing platforms. With a strong focus on employee growth and a collaborative work culture, this company offers competitive daily rates and long-term contract opportunities, making it an excellent employer for those seeking meaningful and rewarding careers in the capital markets sector.

Harrington Starr

Contact Details:

Harrington Starr Recruitment Team

We think you need these skills to ace Low-Latency Data Engineer – Crypto HFT (London, Onsite)

SQL
Problem-Solving Skills
Python
Data Pipeline Development
Communication Skills
Data Engineering
API Integration