Job Description:
Data is at the heart of how Movember understands its impact, runs its campaigns, and plans for the future and this role sits right at the centre of that. As Data Engineer, you'll be a key technical contributor to Movember's data platform, working collaboratively to build and maintain the robust, automated data solutions that underpin our data strategy. Your core focus will be on data engineering operations, Snowflake layer management, and helping deliver a self-service data marketplace model that enables teams across the organisation to access trusted, well-documented data without needing to raise a ticket every time. A significant part of this is the Data Mart layer -- purpose-built, domain-specific datasets designed for governed self-service access -- which you'll contribute to designing, building, and maintaining in close partnership with the Lead Data Engineer and teams including Insights, Global Campaign, Marketing and MEL. On the technical side, you'll own and contribute across multiple Snowflake layers (Staging, Curated, Conformed, and Data Mart), build and maintain ingestion pipelines using AWS services, implement CI/CD pipelines via GitHub Actions, and develop data quality frameworks with automated validation across pipeline stages. You'll also play an active role in AI enablement -- ensuring data infrastructure, governance practices and quality standards are aligned with Movember's AI Governance Framework, and that high-quality data is ready to power AI-driven insights across fundraising, campaigns and programme measurement. This is a highly technical role with around 20% business partnering, where you'll engage with stakeholders across the organisation to understand data needs, align on definitions, and support adoption of new data workflows. You'll bring increasing autonomy to your work, take real ownership of delivery, and proactively identify opportunities to improve the platform.
