Senior 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.