Test Automation Specialist – Data Testing 100%

Design and Maintain Data-Centric Automation Frameworks

Join a team dedicated to strengthening regression testing capabilities, improving test coverage, and increasing the speed and reliability of data platform releases. This position sits at the intersection of test automation engineering and data engineering, requiring a professional who is as comfortable working with enterprise data platforms and pipelines as they are with automation tooling.

Key Responsibilities

• Design, build, and maintain an automation framework for regression testing of data platforms and pipelines
• Develop automated test cases covering data ingestion, transformation, validation, and reconciliation scenarios
• Execute and maintain automated test execution cycles, integrating with CI/CD pipelines
• Identify gaps in existing test coverage and proactively design automated checks to close them
• Collaborate with data engineers, QA, and business teams to understand data flows and translate them into robust test scenarios
• Troubleshoot test failures, distinguishing between genuine data/application defects and test/environment issues
• Document test frameworks, test cases, and results in a clear, maintainable way
• Continuously improve automation coverage, execution speed, and reliability

Required Skills & Experience

• Strong, demonstrable understanding of data platforms and enterprise data, including data warehouses, data lakes, ETL/ELT pipelines, data models, and data governance concepts
• Hands-on experience building test automation frameworks for regression testing, rather than only executing pre-built scripts
• Experience with automated test case design and automated test execution, ideally in data-centric environments
• Proficiency in at least one programming or scripting language commonly used in test automation, such as Python or Java
• Experience with SQL and querying large or enterprise datasets to validate data accuracy and integrity
• Familiarity with CI/CD tools and integrating automated tests into deployment pipelines
• Strong analytical and problem-solving skills, with attention to data quality and detail

Preferred Qualifications

• Experience with cloud data platforms such as Snowflake, Databricks, BigQuery, or Azure Synapse
• Experience with test automation or ETL testing tools such as Selenium, pytest, dbt tests, or Great Expectations
• Exposure to financial services or enterprise data environments
• Experience working in Agile or Scrum delivery teams

Candidate Profile & Culture Fit

• Deep understanding of data, with genuine curiosity about how enterprise data platforms work, not just how to test them
• Fast learner with an adaptable mindset, able to quickly get up to speed within a fast-paced, quick-learning culture
• Self-starter who can work with ambiguity and evolving requirements
• Strong communicator, able to work closely with both technical data engineering teams and non-technical stakeholders