Quality Engineer

Join our team as a Senior Data Quality Engineer and play a crucial role in the transformation of our Personalised Experiences and Communications (PEC) Platform. You will be at the forefront of our personalisation strategy, helping to shape the future of our platform model and drive better customer outcomes. In this full-stack individual contributor role, you will focus on building automation frameworks, supporting other engineers in establishing quality gates, and incorporating automated tests into the CI/CD pipeline. You will also have access to a range of benefits, including a generous holiday allowance, flexible working options, family leave, health insurance, and more.

• Conception, développement et maintenance d'applications logicielles du point de vue de l'automatisation des tests.
• Création ou demande précise de données de test complexes, en tenant compte de l'intégrité référentielle, de la qualité des données et de la gouvernance.
• Incorporation des tests automatisés dans le pipeline CI/CD et les outils DevOps tels que Jenkins, Harness, Terraform, Dynatrace, etc.

• Hands-on experience of developing BDD based Automation Frameworks for Data, ETL & Event-Driven applications using Python, Java or Typescript
• Data Engineering & Orchestration: BigQuery, Spanner, Apache Kafka, Airflow, Spark, Cloud Composer, DAGs, Apache Beam, Pub/Sub, Dataflow, DataStage, Teradata, Snowflake, ETL, SQL etc
• Experience of designing & executing complex automation testing strategies and frameworks for Functional and Non-Functional requirements of Data and AI platforms
• AI/ Analytics: Exposure to TensorFlow, PyTorch, Scikit-learn, OpenCV, LangChain and GenAI tools
• Testing & Automation: PyTest, Cucumber, Behave, DBT, GreatExpectations, GCP DVT, Monte Carlo, Soda, Deequ, RestAssured etc
• Experience of driving advanced software testing techniques applying modern automation test approaches in Data Engineering project, ensuring robust data quality
• Experience with Agile tools (Jira, Confluence, Xray)
• Data Governance & Visualisation: Looker, Ataccama, Dataplex, Collibra, PowerBI
• Strong programming proficiency in Python(preferable), Java or JavaScript
• Ability to solve complex automation use cases for new Data Products built on Data-Mesh, Lakehouse and streaming architecture
• Experience on Source code management tools (Git, GitHub)
• Working experience of modern data & event-driven technologies, such as: