Lead Data Engineer Job at Movember (Melbourne)

Lead Data Engineer

Movember

Location:
Australia , Melbourne

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

Working for Movember, you’ll help raise millions for men’s health (not for a CEO’s bonus). And all those dollars do a whole lotta good. Men are dying too young – and it doesn’t have to be that way. Around the world, men are facing a health crisis: prostate cancer, testicular cancer, poor mental health and suicide. At Movember we’re on a mission to change the face of men’s health by making it easier for men to talk, act and live longer healthier lives. Every project, every campaign, every idea adds up to real change. You’ll be part of a moustache-powered crew who believe making an impact and having fun should go hand in hand. Your mission is calling.

Job Responsibility:

Own and operate Movember’s organisation-wide data platform, ensuring reliability, scalability and performance
Design, build and maintain automated data pipelines (AWS Lambda, Glue, S3) across fundraising, CRM, campaign and program systems
Lead and optimise Snowflake architecture across staging, curated, conformed and Data Mart layers
Design and deliver high-quality, business-ready Data Marts that enable trusted self-service analytics
Partner proactively with Insights, Campaign, Marketing and MEL teams to evolve data practices and bring stakeholders on the journey
Drive the next evolution of our data capability across the organisation, not just maintain existing pipelines
Implement and mature data governance, role-based access controls and data quality frameworks
Establish and improve our data marketplace model so teams can confidently discover and use certified datasets
Implement data catalogue and metadata tooling, including lineage and documentation standards
Structure well-modelled datasets to support advanced analytics and AI-driven use cases
Provide strong technical leadership and uplift engineering standards across the data function

Requirements:

7+ years experience in data engineering, analytics engineering or data platform roles, including ownership of a production analytics warehouse or data platform
Demonstrated hands-on Snowflake expertise (schema design, dimensional modelling, performance optimisation, access controls)
Experience operating and supporting a live data platform, including monitoring, reliability and incident management
Proven experience designing and delivering business-facing Data Marts
Experience building and maintaining production data pipelines in AWS (Lambda, Glue, S3, IAM or similar)
Advanced SQL and strong Python in production environments
Experience implementing data governance controls (access management, classification, documentation standards)
Experience working directly with non-technical stakeholders to define datasets and evolve data capability
Experience enabling self-service analytics through curated, well-documented datasets
Experience implementing CI/CD for data deployments
Experience providing technical leadership or setting engineering standards

Nice to have:

Experience with dbt or similar transformation frameworks
Exposure to data marketplace or data mesh operating models
Experience working with Salesforce, marketing automation or digital product data
Experience supporting BI tools such as Tableau

What we offer:

Flexible hybrid working from home and our modern Richmond office
Finish work at 2pm on Fridays (Dec-Aug)
NFP salary packaging (pay less tax)
13 weeks paid parental leave and 5 weeks annual leave
Fun & collaborative culture with employee social events
Free Headspace subscription and other wellbeing initiative
Relaxed dress code

Additional Information:

Job Posted:
March 01, 2026

Employment Type:

Fulltime

Work Type:

Hybrid work

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