Quality Engineer

• The Personalised Experiences and Communications (PEC) Platform, part of the Consumer Relationships Business Unit, plays a pivotal role in delivering the Group’s personalisation strategy - making customer interactions more relevant while unlocking the full potential of Cloud technology
• As the PEC platform undergoes a major transformation, this is a unique opportunity to join as a Senior Data Quality Engineer
• You’ll be at the centre of this evolution, helping shape the future of our platform model and leading the delivery of simpler, more skilled, and faster ways of working that drive better customer outcomes
• In this role, you’ll operate at Feature Team level and focus on building automation framework, supporting other engineers in establishing & running quality gates using test pyramid and other modern test automation practices
• You’ll be involved in design, development, and maintenance of software applications from test automation perspective and help in successful product delivery
• This is a full-stack individual contributor Sr QE/SDET role with primary focus on modern data technologies built on GCP along with event-driven architecture experience and lead the feature team from test automation front
• Create or accurately request complex test data, taking into account referential integrity, data quality and governance
• Incorporate automated tests into the CI/CD pipeline and DevOps tooling like Jenkins, Harness, Terraform, Dynatrace etc

Benefits

• A generous holiday allowance: You’ll be eligible for a minimum of 22 days holiday (excluding bank holidays), rising to 30 days based on length of service and grade.
• A flexible way of working: Whether you want flexibility over your location or when you log on, together we can create an approach that works for you and for the business.
• Family leave: Up to 63 weeks of maternity or adoption leave. Statutory maternity or adoption pay is available for 39 weeks, and 20 weeks will be enhanced to the equivalent of full pay. Partners can have six weeks of fully paid paternity leave.
• Flex cash: This is 4% of your basic salary and can be used to spend on the benefits of your choice, or you can choose to take it as a cash top up in your monthly salary.
• Health insurance: Our company funded Private Medical Benefit provides all colleagues with access to good quality medical care, including accommodation, nursing care and specialist advice.
• Colleague Offers: Get discounts on everything from electrical items to cinema tickets and weekly food shopping. You can share this benefit with up to ten family members or friends.
• Financial products: Take advantage of our great financial products, some at a discounted rate, including current accounts, home and car insurance and loans.
• Share plans: Participate in Sharematch and receive matching shares of up to £45 a month from the company, and you can choose to participate in Sharesave, our combined savings and share option plan.
• Pension: We offer a generous pension plan, with all joiners being automatically enrolled in our ‘Your Tomorrow’ scheme. You can decide how much you save and get a say in where your contributions are invested.

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