Data Engineer - Trading

Quant Capital
London, UK
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Amazon Web Services Amazon Elastic Compute Cloud Amazon S3 Databases Data Infrastructure Data Integrity Linux DevOps Python (Programming Language) SQL Databases TypeScript
+4 more
Scripting Data Management Cloudwatch Data Pipelines

Job description

engineer, will work across functions, liaising with our quantitative analysis, engineering and trading analytics teams. You will have a major influence on the pipelines and frameworks we are building.Day to Day the Data Engineer will:Work with multiple teams to understand the strategy of the organisation and proactively source data to support this strategy.Effectively prioritise between data requestsCreate and maintain optimal data pipelinesContribute to the team by sharing new ideas and technologies in meetingsIdentify ways to improve data reliability, efficiency and qualityWork with stakeholders including the product and data teams to assist with data-related technical issues and support their data infrastructure needsDocument the organisation’s data structureUltimately, build a world-class data resource for an industry-leading sports betting risk management firmThe Data Engineer Must have:Comp Sci or Engineering DegreeSignificant experience with scripting languages (Preferably Python

Requirements

and Typescript)Experience with SQL and procedural languagesExperience managing database performanceExperience with data architectureExperience with AWS (Athena, S3, Glue, data pipeline)The environment is that of Facebook or Google, relaxed open with time to think and make the right decisions. The atmosphere is calm and relaxed with an open dress code. This is a role for technologists, those who are motivated by the sharp end of technology and the possibility of making serious money doing something you are passionate about.My client is based in Central London but the role is remote for the immediate future.ETL, DATA,, EC2, DevOps, Linux, AWS, Java, CLoudwatch

About the company

Data Engineer - FintechUp to 65,000 +benefits and bonsuesQuant Capital is urgently looking for a Data Engineer to join our high profile client.Our client is a small fintech who specialise in building automated systems and algorithmic trading strategies to make profit and manage ris. They focus on alternative asset classes and have traded several billion pounds in the sports, gaming and energy sectors since 2010.I am looking to add a data engineer to the team who will be responsible for delivering the organisation’s data strategy. Their ultimate objective is to build a world-class data platform to assist with the rapid development of risk management strategies in the sports, power and other niche markets.An ideal candidate is passionate about: technical challenges; proactively sourcing and collecting trading data; performant, well-structured databases; and making this high-quality, well-documented data available to the entire organisation to support our business strategy.This, data

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on find.jobs

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

52 sec

Running persistent Linux environments directly on Windows

Ben Breard Ben Breard · World Congress 2025

2:17 min

Mapping the maturity roadmap for scaled devops adoption

Dominik Krichbaum Dominik Krichbaum · World Congress 2026 Europe

3:43 min

The enduring legacy of the amazon S3 storage API

Chris Heilmann +3 · LIVE

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

3:55 min

Demonstrating .NET installation on Debian and Azure Linux

Silvano Coriani Silvano Coriani · Europe 2026 Virtual

2:57 min

Core technical practices for robust data engineering

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

Videos

See all

Related articles

See all