Data Engineer- Global Leader in Crypto Trading & Market-Making

Data EngineerAbout the client:

Founded in 2013, this is a leading market-making and programmatic tradingpany in the exciting and fast-evolving world of cryptocurrency trading. With more than 200 employees in 5 countries, they provide billions of dollars of liquidity to cryptocurrency protocols and exchanges on a daily basis. They build long-term relationships with cryptocurrencymunities and traditional investors by offering exceptional service, expertise and trading capabilities tailored to their specific needs.

Working with token issuers, traders, investors, miners, and more than 30 cryptocurrency exchanges around the world, in volatile markets they are a trusted partner to crypto-native builders and to those exploring the industry for the first time. The team of veteran finance and technology executives from some of the world's top financial firms has developed one of the world's most robust trading platforms designed to navigate issues unique to the digital asset markets. Continuously improving the technology throughout their history, they allow clients to scale and execute their strategies with the highest level of efficiency.

Working here is an opportunity to be deeply embedded in every major sector of the cryptocurrency ecosystem.

About the role:

This role sits within the global Data Engineering team, where you'll contribute to the design and development of scalable data systems that support trading and business operations. You'll work closely with stakeholders across the firm to build and maintain pipelines, manage data infrastructure, and ensure data is reliable, accessible, and secure.

It's a hands-on engineering position with scope to shape the way data is handled across the business, working with modern tools in a fast-moving, high-performance environment.

Your responsibilities may include:

Data Pipeline Development

Infrastructure & Architecture
Design and manage data storage solutions, including databases, warehouses, and lakes. Leverage cloud-native services and distributed processing tools (, Apache Flink, AWS Batch) to support large-scale data workloads.
Operations & Tooling
Monitor, troubleshoot, and optimize data pipelines to ensure performance and cost efficiency. Implement dataernance, access controls, and security measures in line with best practices and regulatory standards. Develop observability and anomaly detection tools to support Tier 1 systems.
Collaboration & Continuous Improvement
Work with engineers and business teams to gather requirements and translate them into technical solutions. Maintain documentation, follow coding standards, and contribute to CI/CD processes. Stay current with new technologies and help improve the team's tooling and infrastructure.
What you'll bring:
8+ years of experience in data engineering or a related field. Strong programming skills in Java, Python and SQL; familiarity with Rust is a plus. Proven experience designing and maintaining scalable ETL/ELT pipelines and data architectures. Hands-on expertise with cloud platforms ( AWS) and cloud-native data services. Strong understanding of dataernance, security, and best practices for data quality. Effectivemunicator with the ability to work across technical and non-technical teams.
Additional Strengths:
Experience with orchestration tools like Apache Airflow. Knowledge of real-time data processing and event-driven architectures. Familiarity with observability tools and anomaly detection for production systems. Exposure to data visualization platforms such as Tableau or Looker. Relevant cloud or data engineering certifications.
What's on offer:
A collaborative and transparentpany culture founded on Integrity, Innovation and Performance. Benefits such as Healthcare, Dental, Vision, Retirement Planning, 30 days' holiday and free lunches when in the office. Regular Town Halls, team lunches and drinks. A Corporate and Social Responsibility program as well as charity fundraising matching and volunteer days.

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.

Contact
If this sounds like you, or you'd like more information, please get in touch:

George Hutchinson-Binks

(+44)
linkedin/in/george-hutchinson-binks-a62a69252

Job ID qfG72SE33YH8