QA Engineer

Euronext is the leading pan-European market infrastructure, shaping capital markets for future generations. Its mission is to connect European economies to global capital markets, to accelerate innovation and sustainable growth. Euronext is located in 18 countries across Europe, US and Asia, with regulated exchanges in Belgium, France, Ireland, Italy, the Netherlands, Norway and Portugal. The group has expanded organically and externally, with a revenue growing from €458 million in 2014 to €1.5 billion in 2022, with 2,200 employees and 55 nationalities.

Role Overview:
Euronext Market Services is seeking a Quality Assurance Engineer to join the Data Systems team in Porto. The QA will play a critical role in a major transformation project, migrating our data platform from a centralized data warehouse architecture on Amazon Redshift to a modern lakehouse platform built around Apache Iceberg.

The successful candidate will collaborate closely with other QA engineers and developers to:

• Validate the functional results of new developments.
• Conduct data comparison tests to identify regressions and discrepancies.
• Ensure high standards of data quality across the new platform.

Key Responsibilities:

• Design, maintain, and execute  test plans
• Validate data consistency, completeness, and performance across legacy and new platforms
• Use testing frameworks to enhance data quality checks.
• Collaborate with development, data engineering, and QA peers to ensure delivery of reliable, accurate data applications.
• Contribute to the definition of QA best practices within the data platform transformation.
• Identify and report issues, and follow up on resolution.
• Document test cases, results, and QA processes (XRAY , JIRA , Confluence …).

Qualifications & Skills:

• Proven experience as a QA Engineer with a focus on data platforms.
• Strong SQL skills (advanced queries, joins, aggregations, performance checks).
• Hands-on experience validating data pipelines and platforms in public cloud environments, especially AWS.
• Experience with CI/CD tools and automation (e.g., Jenkins, GitLab).

• Solid understanding of QA core competencies, including:
  • System testing
  • Non-regression testing
  • Test planning & exécution
  • Testing strategies

• Experience leveraging QA/testing frameworks for data quality assurance.
• Experience testing applications using frameworks like Apache Airflow, Apache Flink and Apache Spark is a plus.
• Familiarity with Python and Java Development is a good asset.
• Familiarity with Linux and shell scripting is a plus
• Familiarity with financial markets is a strong advantage, or strong motivation to learn the functional domain.
• Good communication skills in English.