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 our 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.

Team & Role Overview

We are seeking a highly skilled and experienced technologist to work in our Cloud Service & Tools team. This team is responsible for deploying, maintaining and supporting companywide tools available in a distributed cloud and on-premises environment. As part of the Service & Tools team, you’ll be working on tools like Gitlab, Kubernetes, as well as in house systems, and more generally on AWS administration.

Your present skillset

• Kubernetes and container knowledge (EKS, Podman, Docker)
• Developing and troubleshooting CI/CD (Gitlab CI is a plus)
• Infrastructure as code, automated configuration languages and tools such as Terraform and Ansible
• Experience of developing, monitoring and supporting distributed systems in production (tools like Cloudwatch, Coralogix or Open Telemetry are a plus)
• Understanding of Linux OS, particularly RHEL/Rocky 9
• Good understanding of core AWS services
  • VPC security and networking
  • EC2 configuration and scaling
  • Storage services S3, EFS, EBS and FSx
  • IAM
• Knowledge of administration for the following tools is a plus but is not mandatory:
  • Gitlab on premises
  • Snowflake
  • Clickhouse Cloud
• Knowledge of languages like Python, C#, Rust is appreciated
• English, spoken and written is mandatory.
• Happy to work in a fast-paced environment with multiple conflicting demands and changing priorities.
• Effective communicator, able to describe complex issues at the appropriate level for a given audience.
• Happy to coach colleagues and eager to learn from them.
• Able to work in autonomy.

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.

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 our 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.

Your future role within QRT

This person will be a key member of the global DB team to help support, administrate, and secure databases for QRT. Exposure to many aspects of DB projects, including but not limited to Administration, Always-on/High Availability, Capacity-Planning, Data Warehouse, DB design, etc.

What you will do:

• Work closely with users from all parts of business to define and resolve information flow and content issues
• Enable and support the transformation of business requirements into database solutions
• Design and develop robust cutting edge systems to keep QRT business at the forefront of its field

Requirements

• Experience in database administration within a production environment for below DB product is preferred: clickhouse, snowflake,
• Through understanding of DB monitoring, analysis, disaster recovery, and performance tuning
• Familiarity with UNIX/LinuxExperience in one or more database programming languages (SQL, T-SQL, PL/SQL etc.) for design, maintain, administrate, secure, backup and recovery across production, back test, UAT and development environments
• Experience of managing security and permissionsKnowledge of industry best practices
• Good attention to detail, testing and documentation
• Organized with a proactive approach to work. Team player essential.
• Experience in scripting in Powershell/Shell script, python, ansible would be a plus
• Experience in cloud DB admin would be a plus
• Knowledge of industry best practices 
• Organized with a proactive approach to work, team player; ability to work under pressure, with excellent time management skills

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.

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 our 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.

Your future role at QRT
We are looking for an exceptional Software Engineer to be an integral member of the Data Engineering team. We work closely to solve challenging problems that have direct impact on our business and trading.

In this role, you will play a key part in designing, building, and expanding our data platform, with a focus on the development of our new data pipeline framework. You will have the opportunity to develop highly scalable and performant solutions, while partnering with various stakeholders within QRT. Prior experience with financial data is beneficial but not necessary; we welcome talented developers without a background in financial services and are happy to provide training and guidance.

Your responsibilities will include:

• Design, develop, and maintain scalable and robust services following industry best practices
• Develop reusable libraries and components for our Data Integration team and researchers
• Collaborate with engineers and researchers to shape and implement new framework features
• Provide reactive support to users of our services

Your present skillset

• 7+ years of professional software engineering experience
• Expertise in programming, system design, and architecture
• Proficiency in Python, experience with Rust is a strong plus
• Familiarity with modern data ecosystems, including data lakes and data lakehouses (e.g. Apache Iceberg, Delta Lake, Snowflake)
• Familiarity with columnar dataframes, data governance, lineage and metadata
• Strong communication skills with the ability to collaborate effectively across teams
• Experience with cloud platforms, with a preference for AWS
• Fluent 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.

We are representing a leading force in the decentralized exchange (DEX). We are seeking a seasoned Data Engineer to spearhead the development of robust data architectures. In this role, you will be responsible for the end-to-end lifecycle of data, from ingestion to insight, ensuring our infrastructure is both high-performing and scalable to meet the demands of a fast-paced business environment.

Key Responsibilities

• Design & Architecture: Architect, build, and maintain scalable data pipelines and sophisticated ETL processes to support complex data ecosystems.

• Infrastructure Optimization: Enhance data warehouse performance and implement rigorous data quality frameworks to ensure "single source of truth" reliability.

• Strategic Partnership: Collaborate closely with Product, Engineering, and Go-to-Market teams to translate business requirements into actionable data solutions.

• Operational Excellence: Develop automated monitoring systems to proactively identify and resolve pipeline bottlenecks.

• Agile Response: Execute high-priority, ad-hoc data requests and critical analyses with speed and precision to support urgent stakeholder decision-making.

Required Qualifications & Skills

• Professional Experience: Minimum of 7+ years in dedicated Data Engineering roles, ideally within a high-growth environment.

• Advanced Data Modeling: Deep expertise in data architecture, warehouse design (e.g., Star/Snowflake schemas), and modern ETL/ELT best practices.

• Technical Stack: Mastery of the modern data stack, including Snowflake, Airflow, and dbt.

• Cloud & Infrastructure: Strong proficiency with AWS services and experience managing distributed systems.

• Stream Processing: Hands-on experience with data streaming technologies such as Kafka or Kinesis to optimize large-scale workflows.

• Problem Solving: A proven ability to navigate ambiguity and deliver high-quality solutions under tight deadlines.