Data Engineer

Join Us In A Growing Data FunctionWe are looking for individuals to join our team in a growing data function where you will help us innovate and build intelligent data systems across our global AI & Automation department focuses on transforming complex data into intelligent, scalable solutions. Operating across a vast technical landscape, the team builds robust infrastructure that supports critical regulatory requirements and drives process efficiency. By leveraging advanced cloud technologies and machine learning, AI & Automation ensures data integrity while exploring new ways to optimise performance.In this role, you will maintain and evolve essential data infrastructure, transitioning from established SQL Server environments to a modern GCP cloud platform. You will solve real-world technical challenges, contribute to process automation and develop your expertise in a highly collaborative setting. We offer the agility of a startup with the stability of a global business, providing the perfect environment to advance your data career.The listed salary for this position is $90,000-$120,000 annually.Main Responsibilities• Lead the end-to-end delivery of regulatory data projects from gathering requirements to implementation. • Design, develop and maintain robust T-SQL stored procedures and SSRS reports to support core business operations. • Shadow senior colleagues to gain hands-on exposure to GCP environments with a clear progression towards independent cloud development. • Leverage AI-powered tools proactively to accelerate development cycles and streamline coding tasks. • Investigate and resolve complex data issues to ensure high data integrity and minimal disruption to critical processes. • Partner with cross-functional teams to provide clear status updates and manage project timelines effectively. • Contribute to the knowledgebase and help evolve development standards to ensure consistency across all data solutions.The Skills And Experience To Help You Perform In The Role• Proficiency in SQL Server 2014 or later • Knowledge of the MSSQL BI Stack including SSRS and SSIS • Strong SQL capabilities with a focus on stored procedures • Exposure to GCP, Big Query and Looker • Familiarity with Gitlab or alternative source control platforms