We have all the makings of an iconic brand - beautiful products that are timeless and designed to last, service that exceeds our customers expectations, a passionate founder that cares deeply about doing what is right and a loyal and growing community who advocate for us.

What you’ll do

Data Platform & Infrastructure:

• Architect, build, and maintain scalable and performant ELT pipelines and infrastructure using tools like GCP, BigQuery, dbt, third-party ingestion
• Lead data ingestion and transformation from a wide range of first and third-party systems (e.g., GA4, Bloomreach CDP, our Inventory and Finance platforms) ensuring consistent, reliable data access
• Collaborate with developers and other members of the data team to continuously improve data systems, reducing tech debt, increasing automation, and improving observability and diagnostics
• Govern and enhance reverse-ELT processes to enable data activation for marketing and experimentation teams
• Build for resilience and scale — proactively identifying areas for infrastructure optimisation

Modelling and Analysis:

• Evidence of a strong data product mindset. You are able to identify the root opportunity behind stakeholder requests, challenge assumptions where needed, and design lean, impactful solutions that deliver business value
• Demonstrate commercial awareness by collaborating with cross-functional teams to deeply understand their goals, translating them into clean, reusable models that power dashboards, reporting, and advanced analytics
• Automate repetitive data workflows to empower teams with timely insights and self-service capabilities
• Surface high-value datasets in BI tools like Sigma, Looker Studio, and Google Sheets - enabling data to flow where it's needed most

Governance, Testing & Quality

• Establish robust quality frameworks including data validation, alerting, and monitoring to catch and resolve issues before they impact stakeholders
• Maintain clear and accessible documentation, improving data literacy and trust across teams
• Support data governance initiatives, ensuring responsible data use and alignment with privacy and compliance standards

Innovation & AI Enablement

• This role offers a unique opportunity to be at the forefront of MV’s AI program; we are on a mission to deploy industry-leading AI initiatives that drive business impact and enhance customer experience
• We take a ‘build vs. buy’ approach to AI, blending custom development with third party tools to rapidly deliver POCs in response to business problems. You’ll get hands-on with innovative, composable tooling to prototype, iterate fast, and productionise what works
• Stay up to date with emerging tech and practices in data engineering, analytics, and AI, advocating for thoughtful adoption
• Evangelise data capabilities internally, supporting analysts, marketers, and operators in better leveraging the data platform

What you’ll bring

• Proven experience designing and maintaining modern data pipelines in cloud-native environments (preferably GCP and BigQuery)
• Strong command of SQL and Python; experience with ELT tools (dbt) and reverse-ELT tools like Census
• Hands-on experience modelling event-based datasets and integrating customer, product, and operational data sources into functional data tools
• Deep understanding of data quality, observability, and performance best practices.
• Familiarity with agile workflows and experience working closely with product and ecommerce and growth teams
• A proactive mindset - you take ownership, identify inefficiencies, and drive continuous improvements
• A collaborative communicator who can bridge technical complexity and business needs with ease
• Desire to keep up with the industry particularly from an AI perspective
• A strong interest in the evolving AI landscape and experience supporting AI/ML use cases through feature engineering, model-ready data pipelines, or production data workflows