Data Engineer

Join us 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