About the Role
Join a dynamic Quality Engineering team to develop and refine automated testing frameworks for essential trading systems. You'll focus on platforms managing high-throughput, low-latency operations—such as algorithmic trading, order management, and market data handling—guaranteeing top-tier performance and reliability.
Lisbon (hybrid setup)
Primary Responsibilities
- Develop, implement, and support automated Python quality assurance frameworks for application and data testing.
- Develop and execute automated tests for big data processing pipelines, ETL/ELT processes, and data warehouse environments, ensuring data integrity, completeness, and consistency at scale.
- Perform large-scale data validation, reconciliation, and quality control using SQL and Python on large data sets.
- Improve end-to-end (F2B) testing using BDD frameworks for customer onboarding, regression testing, and new product launches.
- Collaborate with developers, data engineers, traders, and stakeholders to refine requirements and improve software and data quality.
- Optimizing CI/CD pipelines (Jenkins/TeamCity, Ansible) for seamless testing and deployment.
- Troubleshooting latency-sensitive systems and ensuring reliability in a high-frequency trading environment.
- Contributing to testing strategies for GenAI-based services and applications working with large volumes of data.
Requirements
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