Data Engineer

Radley James
London, United Kingdom
4 months ago
Applications closed

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Posted
11 Feb 2026 (4 months ago)

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 levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionInformation Technology and Finance
  • IndustriesFinancial Services and Software Development

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Where to Advertise Data Engineering Jobs in the UK (2026 Guide)

Where to advertise data engineering jobs UK in 2026: the specialist boards and channels that reach Spark, dbt, Snowflake and platform engineering talent. Data engineers occupy a distinct discipline that sits between software engineering, data science and cloud infrastructure — and the strongest candidates identify firmly with the data engineering community rather than with adjacent roles. General job boards consistently conflate data engineering with data analysis, data science and BI development, producing high application volumes but low candidate quality for specialist pipeline and platform roles. This guide, published by DataEngineeringJobs.co.uk, covers where to advertise data engineering roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.