Data Integration Specialist (Python)

Qube Research & Technologies

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. Your future role within QRT * Your core objective is to manage the multiple and extensive dataset used in the QRT research and trading platform * Contributing to design and implementing QRT data store and its API * Monitoring fetching processes and data health * Integrating alternative datasets * Supporting users (Quants & Traders)   Your present skillset * 2-10+ years' experience in a related field * Advanced knowledge of Python is a must * C#, Rust, JavaScript nice to have * Previous experience handling and processing large amounts of both structured and unstructured data  * Experience using new age technologies like data-lake, data-mesh in cloud * Prior experience in financial assets, market data and it's data vendors is a plus * Intellectual curiosity to learn new technologies to build scalable and robust products * Capacity to work with autonomy within a global team * Advanced English, both written and verbal communication skills required to understand business requirements 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

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.   Your future role within QRT * Your core objective will be to collaborate with Researchers and Analyst to onboard data sources and signals through a centralized framework. * You will contribute to the design and maintenance of datasets used for signal generation in trading strategies. * You will also help develop robust data quality checks to enhance monitoring and ensure the longevity of data sources. * Additionally, you will be responsible for integrating alternative datasets and building tools to automate data pipelines for faster and more reliable delivery. * Finally, you will provide support to end users, including Quant Researchers and Traders.   Your present skillset * 2+ years’ hands-on experience in data engineering * Excellent communication skills and a collaborative mindset to work effectively with other engineers, quants and traders * Strong software engineering fundamentals and proficiency in Python * Experience with workflow orchestration frameworks (e.g. Argo, Airflow) * Experience designing and implementing RESTful APIs and internal service integrations * Experience with observability tools (e.g. Grafana, CloudWatch) * Familiarity with Kubernetes, container orchestration, and cloud infrastructure (AWS preferred) * Exposure to the front-end, particularly with regards to custom monitoring dashboards, is a plus * Self-starter mentality with the ability to work autonomously within a globally distributed team   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

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 responsibilities will include: * Your core objective is to manage the multiple and extensive datasets used in the QRT research and trading platform * Contributing to design and implementing QRT data store and its API * Monitoring fetching processes and data health * Integrating alternative datasets * Supporting users (Quants & Traders) Your present skillset: * 2+ years’ experience in a related field * Advanced English, both written and verbal communication skills * Strong understanding and experience with Python * Familiarity with SQL and relational databases. * Ability to communicate and understand user needs * Intellectual curiosity to learn new technologies * Capacity to work with autonomy within a global team Good-to-have: * Structured and unstructured data management expertise * Knowledge of the financial data of equity/derivatives * Prior financial data vendors experience * Experience with market data * Intellectual curiosity to learn new technologies * Capacity to work with autonomy within a global team 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.