Our client is a global innovator and world leader within technology, seeking a Lead Data Engineer with significant Databricks experience and leadership responsibility to run an exceptional Agile engineering team.The successful candidate will be responsible for building a greenfield modern data platform using cutting-edge technologies, architecting big data solutions, and developing complex enterprise data ETL and ML pipelines and projections.The ideal candidate will have strong Python, PySpark, and SQL experience, possess a clear understanding of Databricks, and have a passion for Data Science (R, Machine Learning, and AI). Database experience with SQL and No-SQL, significant Agile and Scrum exposure, and SOLID principles are expected.The company invests heavily in training and career development, offering unlimited career progression for top performers. This is a truly amazing opportunity to work for a prestigious brand that will benefit your career.ResponsibilitiesLead client delivery and ensure the highest standardsWork with architects to create automated tests and instill a culture of continuous improvementSet standards for the team and provide technical leadership through coaching and mentorshipRequirementsStrong Python, PySpark, and SQL experienceClear understanding of Databricks and Data Science (R, Machine Learning, and AI)Database experience with SQL and No-SQLSignificant Agile and Scrum exposure and SOLID principlesWhat We OfferUnlimited career progression for top performersInvestment in training and career developmentOpportunity to work for a prestigious brandWe are an equal opportunities employer and welcome applications from all qualified candidates. #J-18808-Ljbffr