Data Engineer

Join Us In A Growing Data Function We 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 platforms. The 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 Hackajob