Software Engineer - Data Platform

Qube Research & Technologies; Greater London; On-site; GBP 70,000 - 120,000; Full time

Job summary

Qube Research & Technologies is seeking a Data Engineer to join the Data Engineering team and help build the next-generation data platform. The role focuses on distributed systems, large-scale data processing, and fast, reliable data services.

Proficiency in Rust, Go, C++, or Java is valued, along with SQL and AWS cloud experience. We welcome candidates from diverse backgrounds and offer training to grow within the team.

Qualifications

• Designing scalable, robust services and libraries for data engineering.
• Experience with distributed systems and large-scale data processing.
• Proficiency in Rust, Go, C++, or Java and multi-threading concepts.
• Knowledge of SQL and relational databases; familiarity with cloud tech (AWS).
• Fluency in English and ability to collaborate in a small team.

Responsibilities

• Designing and developing scalable, robust services using best practices.
• Writing automated tests and maintaining pipelines.
• Developing reusable libraries for the Data Engineering team.
• Collaborating with engineers and researchers to add framework features.
• Working on distributed systems and big data processing tasks.

Skills

Rust

Go

C++

Java

Distributed systems

Big data processing

Multi-threading

SQL

Relational databases

Cloud (AWS)

CI/CD testing

Communication

Tools

AWS

Job description

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT's collaborative mindset which enables us to solve the most complex challenges. QRT's culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

You will join our Data Engineering team as an integral member. Our team works closely to solve challenging problems with a direct impact on both the business and trading activities. In this role, you will contribute to the development of our next-generation data platform, designed to incrementally ingest, aggregate, and index data from diverse sources. This project is of critical importance to the continued success of the business. Key aspects of the project include distributed systems development, large-scale data processing, and building a platform that is fast, reliable, scalable, and user-friendly. Our primary language is Rust. While prior Rust experience is welcome, it is not required - we are equally open to strong candidates with experience in C++, Go, or Java. Experience with financial data is advantageous but not essential. We welcome talented developers without a background in financial services and are committed to providing training and guidance.

Your future role at QRT:

• Designing and developing scalable, robust services using best practices
• Writing automated tests
• Maintaining and scaling delivery/integration pipelines
• Developing reusable libraries for the Data Engineering team
• Collaborating with engineering teams and researchers to propose and implement new framework features
• Experience and knowledge in distributed systems and big data processing
• Proficiency in at least one of the following programming languages: Rust, Go, C++, or Java
• Strong understanding of multi-threading
• Knowledge of testing within continuous delivery and integration pipelines
• Familiarity with SQL and relational databases
• Excellent communication skills, with the ability to collaborate effectively in a small, close-knit team
• Familiarity with cloud technologies (AWS preferred)
• Fluency in English

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.