Senior GCP Data Engineer
Role Overview
We are looking for experienced Senior Data Engineers to join feature teams building and productionising cloud-based data products, including work on Master Data Management (MDM) integration and real-time data patterns. This is a delivery-focused, hands-on role for engineers who are comfortable owning a data product end-to-end rather than working on isolated tickets.
Key Responsibilities
Design, build and deploy data products on a cloud-based platform using modern ELT/ETL patterns.
Write and maintain dbt models, Python pipelines and SQL transformations to a production standard.
Contribute to MDM integration and implementation activities, including bespoke and commercial off-the-shelf (COTS) MDM solutions.
Design and implement real-time data product patterns where required.
Build and maintain automated testing, data validation and quality checks.
Apply AI-enabled tooling and approaches to speed up development and testing.
Work within existing delivery, architecture, security and governance standards.
Support deployment, go-live and post-go-live stabilisation activities (DevOps practices).
Required Skills & Experience
Strong hands-on experience with GCP or a comparable cloud data engineering platform.
Advanced practical experience with dbt, Python and SQL.
Solid data modelling and ETL/ELT design skills.
Experience delivering data products end-to-end, not just individual pipeline components.
Exposure to MDM concepts and/or integration work is a strong plus.
Experience with testing frameworks and data quality/validation practices.
Comfortable working within DevOps/CI-CD delivery models.
Ready to mobilise quickly; academic-only or purely theoretical profiles will not be considered.
