Software Engineer - Data Platform

Quberesearchandtechnologies; Zürich; Vor Ort; CHF 120.000 - 180.000; Vollzeit

Zusammenfassung

Qube Research & Technologies (QRT) invites you to join its Data Engineering team to build next-generation data platforms that ingest, aggregate, and index data from diverse sources. The role focuses on distributed systems, scalable services, and collaboration with researchers and engineers to deliver reliable, fast pipelines.

You will contribute to reusable libraries, write automated tests, and help maintain delivery pipelines.

Qualifikationen

• Experience and knowledge in distributed systems and big data processing.
• Proficiency in 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 and teamwork in a small, close-knit team.
• Familiarity with cloud technologies (AWS preferred).
• Fluency in English.

Aufgaben

• 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

Kenntnisse

Distributed systems

Big data processing

Rust

Go

C++

Java

Multi-threading

CI/CD testing

SQL

Cloud AWS

Jobbeschreibung

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

Your present skillset:

• 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.