Data Engineer

Radley James; London; On-site; GBP 50,000 - 60,000; Full time

Benefits offered by this job

Healthcare

Dental

Vision

Retirement planning

30 days of holiday

Free lunch when in the office

Ongoing professional development

Regular town halls

Social events

Job summary

A high-performance trading firm is seeking a Senior Data Engineer to join their global team. This role involves designing and building scalable data pipelines and managing cloud-native infrastructure to ensure reliable and secure data handling. With a collaborative culture and emphasis on continuous professional development, this position offers a competitive salary and benefits, including 30 days of holiday.

Qualifications

• 8+ years of experience in data engineering or a related field.
• Proven track record with cloud platforms and distributed data tools.
• Excellent communication skills across technical and non-technical teams.

Responsibilities

• Build and maintain efficient, scalable ETL/ELT pipelines.
• Design and manage data storage solutions across various databases.
• Implement data governance and security best practices.

Skills

Python

Java

SQL

Data security

Data governance

Tools

AWS

Flink

Apache Airflow

Job description

We’re looking for a Senior Data Engineer to join a high-performance trading firm operating at the forefront of the digital assets space. This is a hands-on role within a global data engineering team, with the opportunity to shape how data is handled across the business.

You'll design and build scalable data pipelines, manage modern cloud-native infrastructure, and ensure data is reliable, secure, and accessible in a fast-paced environment.

Responsibilities:

• Build and maintain efficient, scalable ETL/ELT pipelines for both real-time and batch processing.
• Design and manage data storage solutions across databases, warehouses, and data lakes.
• Integrate data from APIs, streaming platforms, and legacy systems.
• Optimize data infrastructure for performance, cost, and observability.
• Implement data governance, access control, and security best practices.
• Collaborate with engineering and business teams to deliver high-impact solutions.
• Contribute to CI/CD workflows, documentation, and team-wide tooling improvements.

Requirements:

• 8+ years of experience in data engineering or a related field.
• Proficiency in Python, Java, and SQL; familiarity with Rust is a plus.
• Proven track record with cloud platforms (e.g., AWS) and distributed data tools (e.g., Flink, AWS Batch).
• Strong understanding of data security, quality, and governance principles.
• Excellent communication and collaboration skills across technical and non-technical teams.

Bonus Points For:

• Experience with orchestration tools like Apache Airflow.
• Familiarity with real-time data processing and event-driven systems.
• Knowledge of observability and anomaly detection in production environments.
• Exposure to visualization tools like Tableau or Looker.
• Relevant cloud or data engineering certifications.

What’s Offered:

• Competitive salary with two annual discretionary bonuses.
• Generous benefits, including healthcare, dental, vision, and retirement planning.
• 30 days of holiday plus free lunch when in the office.
• A collaborative and transparent culture built on integrity, innovation, and performance.
• Ongoing professional development, regular town halls, and social events.
• Opportunities to work at the core of the digital asset ecosystem.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology and Finance

• Industries

  Financial Services and Software Development

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