Senior Lead Data Engineer - Enterprise Data Warehouse

About the role

The company is looking for a Staff / Lead Data Engineer to own the architecture and evolution of its enterprise data warehouse. The role defines how data is modelled, governed and consumed across the organisation, building a scalable foundation for analytics, reporting and downstream data products. It is a hands-on technical leadership position for someone who has personally designed and scaled complex data warehouse architectures.

Key responsibilities

• Own the end-to-end data warehouse architecture, including raw, staging, core/conformed and data mart layers.
• Design scalable models for complex transactional domains such as bookings, payments, cancellations/refunds, amendments and supplier/customer flow data.
• Establish a single, governed metrics and definition layer for consistency across business units and downstream consumers.
• Define and enforce data modelling, data contracts, quality and engineering standards.
• Partner with Analytics, Data Science, Product, Finance and business teams to turn requirements into scalable data solutions.
• Lead technical and design reviews and act as a trusted advisor on complex data architecture decisions.
• Mentor Data Engineers and raise the engineering and modelling standards of the team.

Required profile

• Minimum 10+ years of data engineering experience; Staff, Lead, Principal or equivalent level preferred.
• Proven experience designing large-scale data warehouses from the ground up.
• Experience designing semantic/metrics layers and data contracts across multiple consumers.
• Strong understanding of large-scale transactional data and complex business logic.
• Strong technical leadership, with experience reviewing architecture and mentoring engineers.
• Experience in OTA, travel tech, e-commerce, marketplace or fintech is highly preferred.

Required skills

• Dimensional modelling, Data Vault, conformed models and modern data architecture principles.
• Advanced SQL and hands-on experience with BigQuery, dbt or equivalent technologies.