Data Platform Engineer: Scalable, Distributed Systems

Quberesearchandtechnologies; Greater London; On-site; GBP 90,000 - 120,000; Full time

Job summary

Qube Research & Technologies invites skilled developers to join the Data Engineering team, contributing to a next-generation data platform that ingests, aggregates, and indexes diverse sources. The role emphasizes distributed systems, large-scale data processing, and building fast, reliable, and user-friendly solutions.

Primary language: Rust; strong candidates in Go/C++/Java welcomed. You will design scalable services, write automated tests, and help scale pipelines.

Qualifications

• Experience with distributed systems and big data processing.
• Proficiency in Rust/Go/C++/Java.
• Strong multi-threading understanding.
• Familiarity with testing within CI/CD pipelines.
• Knowledge of SQL and relational databases.

Responsibilities

• 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.

Skills

Distributed systems

Big data processing

Rust

Go

C++

Java

SQL

Cloud (AWS)

English communication

Job description

Qube Research & Technologies invites skilled developers to join the Data Engineering team, contributing to a next-generation data platform that ingests, aggregates, and indexes diverse sources. The role emphasizes distributed systems, large-scale data processing, and building fast, reliable, and user-friendly solutions.

Primary language: Rust; strong candidates in Go/C++/Java welcomed. You will design scalable services, write automated tests, and help scale pipelines.