Data Engineer - Digital Asset Manager - Up to £100,000 + Discretionary Bonus

Saragossa; England; Hybrid; GBP 65,000 - 90,000; Full time

Job summary

Saragossa is seeking a data engineer to own end-to-end data pipelines in a hybrid, four-days-in-office environment. You will work closely with the quant team, finance, and operations to build and productionize data assets using Python, SQL, and AWS.

You’ll contribute to an AI-enabled engineering culture, shaping scalable data infrastructure and delivering high-impact analytics solutions across cryptocurrencies and digital assets.

Qualifications

• 4+ years in a dedicated data engineering role.
• Strong Python skills and experience with SQL/PostgreSQL.
• Experience shipping production data pipelines.
• Comfortable working across AWS and cloud infrastructure.
• Ability to own delivery end-to-end, from stakeholder conversation to production.

Responsibilities

• Own end-to-end delivery of data engineering initiatives from concept to live production.
• Collaborate with quant, finance, operations, and infra teams to ship robust data solutions.
• Design and optimize data pipelines using Python, SQL, and Airflow.
• Help shape an engineering culture where AI is embedded in daily workflows.

Skills

Python

SQL

PostgreSQL

AWS

Data modeling

Ownership

Tools

Airflow

Job description

You get to own your work, sit at the heart of a genuinely interesting business, and help build something that actually matters.

This is a digital asset investment firm running computer-driven trading algorithms across cryptocurrencies, digital assets and derivatives. The technology is the business, and data engineering sits right at the centre of it.

No two days look the same here. One day you could be working closely with the quant team, the next you are supporting finance or operations, and the next you are deep in infrastructure with the engineering team. You have real ownership over what you build and how you build it.

The firm is actively building an engineering culture where AI plays a genuine role in how the team works. If that kind of environment appeals to you, this is a place you can grow into, not just grow out of.

You will be working hybrid, four days a week in the office, so you are embedded in the team and close to the decisions that matter.

In terms of what you bring, you have deep Python skills and strong experience with SQL and Postgres. You have shipped data pipelines into production using Airflow or something comparable, and you are comfortable working across AWS.

You have spent 4+ years in a dedicated data engineering role and you can own delivery end-to-end, from first conversation with a stakeholder to something live in production.

Ready to take on more ownership in a space that is genuinely different?