Prenetics (NASDAQ: PRE) is a health sciences company focused on innovation in consumer health. One of its fastest-growing ventures, IM8, is a next-generation health and wellness brand co-founded with David Beckham. Launched in 2024, IM8 has scaled rapidly and is now looking for a senior technical leader to own and build its data foundation.
This is a high-impact role for an experienced Data Engineering Lead or Senior Data Engineer who has built data platforms in a DTC, e-commerce, or subscription business. You will take end-to-end ownership of the company’s data architecture, pipelines, and analytics foundations — starting as a hands-on builder and evolving into the leader of the data function over time.
If you have deep experience in SQL, Python, cloud data platforms, Shopify, GA4, and marketing analytics, this is a rare opportunity to shape the data layer of a high-growth consumer brand.
About the role
You will lead the design and development of IM8’s data platform across growth, commerce, lifecycle, and operations. The role combines hands-on data engineering, data architecture, and long-term team-building responsibility.
You’ll partner closely with teams across Growth, Product, Finance, and Operations to ensure data is reliable, scalable, and ready for decision-making.
This is an ideal opportunity for someone who wants to:
- own a modern e-commerce data platform
- shape analytics foundations for a fast-growing brand
- build trusted pipelines across customer, marketing, and operational systems
- move from senior IC work into broader data leadership
What you’ll do
Own the data platform end-to-end
Take full ownership of IM8’s data architecture across growth, commerce, subscription, retention, and operations.
Design and scale an analytics-ready data foundation
Build and evolve a modern data platform that brings together business-critical systems into a clear, scalable, analytics-ready model.
Build and maintain reliable data pipelines
Develop high-quality pipelines that ingest and transform data from platforms such as:
- Shopify
- GA4
- Klaviyo
- Triple Whale
- subscription systems
- fulfillment and operational platforms
Support key DTC and growth analytics use cases
Enable analysis across:
- customer lifecycle
- CAC and LTV
- retention and churn
- marketing attribution
- campaign performance
- operational reporting
Set data quality and governance standards
Define data models, documentation, metrics, and quality controls so stakeholders can trust the data and self-serve insights confidently.
Partner cross-functionally
Work closely with non-technical and technical teams to translate business questions into scalable data solutions and proactively identify insight opportunities.
Set the technical standard for the function
Establish best practices for:
- architecture
- code quality
- testing
- monitoring
- deployment
- platform reliability
Build the data function over time
Start as a hands-on leader, then help hire, mentor, and guide data engineering and analytics talent as the company scales.
What they’re looking for
- 7+ years of experience in data engineering, analytics engineering, or data platform roles
- Strong experience in DTC, e-commerce, or subscription-based businesses
- Proven ownership of data architecture, pipelines, and analytics foundations
- Advanced SQL and Python skills
- Experience with cloud-based data platforms
- Hands-on experience integrating and modeling data from tools such as:
- Shopify
- GA4
- Klaviyo
- attribution and marketing analytics platforms
- Strong architectural judgment — able to choose tools and systems that are practical, scalable, and business-relevant
- Comfortable operating as both a hands-on builder and a technical leader
- Strong communication skills and ability to work with non-technical stakeholders
Why this role stands out
This is more than a senior data engineering role. It’s a chance to:
- own the data foundation of a fast-scaling consumer health and e-commerce brand
- directly influence growth, retention, and operational decisions
- build a modern analytics platform from a strong starting point
- grow into a broader Head of Data / Data Platform leadership path over time
- work in a remote-friendly, high-autonomy environment with real strategic impact
Ideal background
This role is especially relevant for candidates coming from:
- Senior Data Engineer roles in e-commerce
- Analytics Engineering Lead roles
- Growth Data Engineering roles
- Head of Data / first data hire roles in DTC businesses
- Shopify / subscription analytics environments
Apply now
