Data Transformation Architect / Engineer

Key Responsibilities

• Lead the technical design and delivery of data ingestion, mapping and transformation solutions.
• Build and enhance ETL pipelines using AWS Glue and other AWS data services.
• Explore and implement AI/ML solutions to automate data mapping and reduce manual processes.
• Work closely with engineering teams to modernise legacy data platforms and improve data processing capabilities.
• Facilitate workshops with business and technical stakeholders to understand requirements and translate them into technical solutions.
• Support the development of scalable, efficient and maintainable data transformation processes.

What We're Looking For

• Strong hands-on experience with AWS Glue, ETL, data ingestion and data transformation.
• Solid background in data engineering, including data mapping, integration and pipeline development.
• Experience or exposure to AI/ML, particularly applying automation to data processing and transformation.
• Ability to combine technical architecture knowledge with hands-on engineering and delivery.
• Experience working on complex data modernisation or transformation programmes.
• Strong communication and stakeholder engagement skills, including facilitating technical workshops.
• Proactive, solutions-focused approach with the ability to take ownership of technical challenges.
• Previous Insurance or Reinsurance experience would be highly advantageous, particularly working with complex insurance data.