Data Engineer - Hedge Fund - £150k-£200k TC

Saragossa; Greater London; On-site; GBP 120,000 - 200,000; Full time

Benefits offered by this job

Catered canteen

Gym access

Barista coffee

Office amenities

Job summary

Saragossa in London is hiring for a data engineering role focused on building extensive ingestion pipelines and turning diverse data into investable insights. You’ll work with Python, Snowflake, Docker, Kubernetes and orchestration tools to shape the data platform used by investment teams.

The role emphasises strong academic credentials with commercial data experience; finance experience is a plus but not required. London-based with office presence most days.

Qualifications

• Strong academic background with commercial experience in a data-heavy software or data engineering role.
• Financial experience would be a huge plus but not required.
• Experience with much of the listed tech stack is preferred; none mandatory.

Responsibilities

• Build and maintain thousands of ingestion pipelines from diverse data sources.
• Bring data into the business and build the data infrastructure around it.
• Deliver the data to the right people to support investment models.

Skills

Python

Snowflake

Docker

Kubernetes

Airflow

Spark

Hive

Education

Bachelor's degree in a data-related field

Tools

Python

Snowflake

Docker

Kubernetes

Airflow

Spark

Hive

Job description

Big tech is fragile and career outlook right now is very uncertain. What about working at a hedge fund where their growth is almost certain?

This data engineering team hired multiple people last year – most from big-tech – and plan to do the same this year.

A large portion of your work will technically be non-finance, with the main finance focused work completed by other teams. The real-world, complex data engineering problems are all yours.

You’ll be joining a team that builds and has built thousands of ingestion pipelines, with data coming from every single potential avenue it possibly can. To get the best understanding of an investment, all data points are considered. You’ll bring the data into the business, build the data infrastructure around it and deliver the data to the right person in the business to build their investment models.

Tech is also completely flexible. Most of the work is done within Python. Snowflake is widely used, as are Docker and Kubernetes for containerisation. ETL and ELT tech are also used every day, primarily Airflow, Spark, Hive and a lot more.

You’ll need to come from a strong academic background with some commercial experience in a data heavy software or data engineering role. Financial experience of some kind would be a huge plus, but absolutely not a requirement. Experience with as much of the tech stack above is preferred and most likely, but you don’t need experience with all. Picking up new tech will be part of your job.

This is a $60 billion plus fund, where being at the cutting edge of technology in general, let alone finance, is key for them. With this amount of ambition, it’s why their bonuses can be some of the biggest in the industry. First year total compensation could be as high as £200,000 and this has the potential to get better year on year, based on your performance.

London-based, four to five days in the office, working side by side with the team and close to key decisions.

When in the office you have a fully catered canteen with a Michelin standard chef, barista coffee, a gym and more.

Want to explore (or to continue exploring) high-tech in the Hedge Fund world?

No up-to-date CV required initially, we can work on updating it together if need be.