Data Engineer

Salary
: £60,000 - 70,000 + Equity + Benefits

An early-stage, mission-driven technology company is building an AI-led intelligence platform designed to bring transparency to a highly complex global industry. With sustainability at its core, the platform enables large organisations to make better, more responsible decisions by combining real-time data, pricing intelligence, and policy insight.

With an MVP live, early enterprise customers engaged, and strong funding in place, the company is now focused on strengthening the data foundations that underpin the product and its future AI roadmap.

This role will be one of the first dedicated data engineering hires. You will work closely with senior technical leadership to build reliable data pipelines, improve data quality, and enable analytics, product features, and machine-learning use cases as the platform evolves.

• Build and maintain data pipelines that ingest, transform, and serve data for product and analytics use cases.
• Integrate multiple internal and external data sources into a clean, reliable data layer.
• Work closely with engineering and product teams to ensure data supports real-world decision making.
• Help establish best practices around data modelling, transformation, and quality checks.
• Contribute to the foundations that will support future machine-learning and AI initiatives.

• Strong experience with Python and SQL
  .
• Solid data engineering fundamentals and experience building production data pipelines.
• Experience working in AWS or another major cloud environment.
• Comfortable operating in an evolving system where some foundations are still being built.
• A collaborative mindset and interest in understanding how data is used across the product.

• Familiarity with managed or open-source data ingestion tools (for example Fivetran, Airbyte, or similar).
• Exposure to data used in analytics or machine-learning contexts.
• Experience working in early-stage or fast-moving product teams.

• A role with genuine scope to grow as the data function expands.
• Close collaboration with experienced engineering and AI leadership.
• Exposure to technically interesting data problems with real-world impact.
• Equity alongside a competitive salary.
• Hybrid working, typically two days per week in London.
• A small, senior team that values ownership, honesty, and thoughtful engineering.

Unfortunately, sponsorship is not available.

Entry level

Full-time

Information Technology

Staffing and Recruiting

Location:

London, England, United Kingdom