Data Engineer

Overview We’re currently looking for a Data Engineer to join our development team engaged in delivering a key global big data processing platform for Worldpanel by Numerator – a key element of our business strategy. One of our continuous goals will be to secure a smooth and efficient transition to a more digitally focused cloud environment. In this role, you will be responsible for supporting its delivery, as well as for implementing the best data engineering practices while also mentoring more junior elements. This will also be a great opportunity to work with the latest tech and modern software engineering practices. If you’re willing to go beyond the obvious, using intelligence, passion and creativity to inspire new thinking and shape the world we live in, apply for a career that’ll be out of the ordinary by joining us! Responsibilities Be responsible for the delivery of tested, high quality code Adhere to coding standards and implementation of Kantar Technology standards Build suitable automation test suites within Azure DevOps Maintain and update automation test suites as required Carry out manual testing, load testing, exploratory testing as required Work closely with Bas and Senior Data Developers to consistently achieve sprint goals Assist in estimation of sprint-by-sprint stories and tasks Pro-actively take a responsible approach to product delivery Requirements 3 to 5 years experience as a Data Engineer Good Python skills Experience working with Microsoft Azure Cloud Experience in Agile methodologies (Scrum/Kanban) Knowledge/experience with Apache Spark, PySpark, Databricks Experience working with DevOps pipeline, preferably Azure DevOps Fluent Portuguese and English Ideal candidates will also have Experience working in a support focussed role Knowledge/experience in AI ML techniques #J-18808-Ljbffr