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Python Data Engineer – Fully Remote

Crypto Prop Trading Firm

Remote

Posted 3 Wks Ago

Salary: $100-160k USD base + strong bonuses ($50-100k+)

Experience: 4+ years

 

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 strategies, with barely a single day in that time not making profit.

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 top market makers and hedge funds globally.

Looking for an experienced data engineer to join their Python team. This is a pivotal role, where you’ll be tasked with developing and maintaining the data management/processing systems, which will eventually integrate with a column-oriented database. Additionally, you’ll take ownership of a new accounting project: ensuring all transactions are properly accounted for (pushing out over 1 million trades per day).

The team is spread mostly across Europe, so you’ll be expected to work (roughly) European hours to overlap with your colleagues.

Skills and Experience Required

  • Strong Python knowledge, including experience developing infrastructure & data processing services and good understanding of pandas, NumPy, etc.
  • Skilled in writing clean, efficient, well-structured code
  • Excellent SQL skills
  • Familiarity with Kafka, Kubernetes and AWS / cloud tech
  • Ability to work autonomously as part of a geographically distributed team

Desirable

  • Knowledge of financial markets and trading principles
  • Experience with ClickHouse (or other column-oriented database)
  • Experience with: Kafka, AWS, Kubernetes, Grafana, Ansible, Terraform

Benefits

  • Competitive salaries + bonuses, with the opportunity to reinvest into the lucrative employee-owned fund
  • Flexible hours and a healthy work-life balance
  • Work with the smartest people in one of the fastest-growing and most exciting industries
  • Fully remote; with paid ‘workations’ 3-4 times a year to cool places all over the world, where you can meet your colleagues in person and explore the local culture!