Software Engineer

Intent-Based Testing Strategy

• Design test strategies that validate business intent, not just technical implementation
• Translate acceptance criteria into automated tests that act as living specifications
• Ensure critical business rules and data behaviours are continuously verified

Data and Platform Quality Engineering

• Build automated tests for ETL pipelines, lakehouse layers, and analytics outputs
• Validate data correctness, completeness, and consistency across transformations
• Detect regressions, anomalies, and unintended consequences early.

CI/CD and Shift-Left Quality

• Embed tests into CI/CD pipelines to enable fast, safe, and repeatable deployments
• Partner with developers to improve testability and system observability
• Support rapid feedback loops that reduce rework and deployment risk

Quality Leadership

• Act as a quality coach within the team, influencing design and delivery decisions
• Challenge unclear requirements and assumptions before they become defects
• Continuously evolve testing practices as the platform and understanding mature.

• Strong experience in automated testing using Python and SQL
• Deep understanding of data pipelines, ETL, and analytics platforms
• Experience testing APIs and distributed systems
• Comfortable working with CI/CD pipelines and DevOps tooling
• Analytical mindset with a focus on prevention over detection
• Excellent communication, problem-solving, and stakeholder management skills.
• Knowledge of the Credit & Debt Collection industry is a strong plus., * Bachelor's degree in Computer Science, Information Systems, or equivalent practical experience.
• Proven experience as an SDET or Senior Test Engineer in data-heavy platforms
• Track record of improving quality while increasing delivery speed
• Knowledge of enterprise data platforms is a strong plus.