ZOE
Technology
MarTechEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“MarTech Engineer at ZOE. Skills: GTM/sGTM, JavaScript, BigQuery, dbt, Marketing Platform Integrations. Own the data platform that powers ZOE's commercial decision-making. Design high-quality website data layers”
What You'll Achieve.
Server-side GTM running in production with MetaCAPI / Google Enhanced Conversions / Mixpanel Server-side ensuring data accuracy and reliability.; A governed event / data-layer spec used consistently across the web and ad platforms, driving informed decisions for our experimentation pipeline and marketing initiatives.; Clear documentation and strategy on the infrastructure that’s built so others can build on top of it.
Industry & Context.
Troubleshooting discrepancies; Debugging tracking instrumentation in the browser
What They're Looking For.
Must Have
Production experience with GTM and sGTM, including data layer design, event schema implementation, writing custom GTM templates and sGTM client / transform logic., JavaScript skills writing custom GTM tags and templates, implementing client-side event schemas, and debugging tracking instrumentation in the browser., Experience integrating conversion and value signals with advertising and attribution tools such as MetaCAPI / Google Enhanced Conversions / server-side event APIs in production., Proven experience with dbt and analytics-engineering practices to build best-in-class data models., Experience in creating a website data layer that informs marketing, commercial and product teams., Working knowledge of cookie consent management (e. g. OneTrust) and familiarity with multi-region / GDPR + CCPA.
Nice to Have
Experience with Mixpanel, Optimizely and/or Braze., Healthcare, D2C subscription, or other regulated-industry experience., Website experimentation literacy and what makes an A readout trustworthy.
What You'll Do.
Own the data platform that powers ZOE's commercial decision-making
Design high-quality website data layers
Feed clean conversion signals into ad platforms
Inform experimentation on top of that data
Design and manage the GTM/sGTM containers
Manage marketing platform conversion signals
Ensure resulting warehouse data quality powers experimentation and bidding decisions
Deploy infrastructure
Define the data model
Wire data model into BigQuery
Full-stack Google Tag Manager ownership: Strategy
deployment and auditing tag configurations across both client-side and server-side GTM web containers.
Robust event tracking & data layer quality: Own the direction and partner with front-end engineers to ship custom events that inform onsite experimentation
user journeys and analytical models.
High-quality data pipelines for Marketing platforms: Build
maintain and improve data pipelines that send signals to Meta
AppsFlyer and other platforms
troubleshooting discrepancies and ensuring data consistency across the marketing stack.
Data platform for commercial: Build
maintain and improve the end-to-end ELT pipeline within BigQuery and dbt
from raw event ingestion through to analyst-ready data models.
Privacy & consent: Manage the CMP integration with GTM Consent ensure no tags fire pre-consent and no PII leaks downstream.
How You'll Work.
Team & Collaboration
Join a team that prizes high technical velocity and sits between marketing, engineering, and data.; Partner with front-end engineers to ship custom events; Build on top of infrastructure documentation and strategy
Full Job Description
🚀 ABOUT THE ROLE - Contract length: 4–6 months (option to convert to a full-time role by mutual agreement). You will own the data platform that powers ZOE's commercial decision-making: - Own how we design high-quality website data layers, feed clean conversion signals into ad platforms, and inform our experimentation on top of that data. - Design and manage the GTM/sGTM containers and marketing platform conversion signals to ensure the resulting warehouse data quality powers experimentation and bidding decisions. - Join a team that prizes high technical velocity and sits between marketing, engineering, and data. We use short feedback loops to keep our tracking accurate and our experiments trustworthy. This is a hands-on build role. We expect you to write JavaScript, deploy infrastructure, define the data model, and wire it into BigQuery. Not just spec it for someone else. 💻 Our cutting-edge stack - a taste of what you'll use! - Data & Infrastructure: GCP (Cloud Run / Docker), BigQuery, dbt, Dagster - Tracking & Experimentation: GTM / sGTM (Server-side), Optimizely - Marketing Platform Tools: Meta CAPI, Google Enhanced Conversions, TikTok Events API - Tools & CI/CD: Braze, Mixpanel, Terraform, GitHub Action, HEX 📈 THE IMPACT YOU’LL MAKE We move fast, and this 4–6 month contract (duration negotiable), is designed for an architect who wants to build several high-stakes wins from the ground up. At the end of this engagement, there is an option to move to a permanent role by mutual agreement. Success looks like: - Server-side GTM running in production with MetaCAPI / Google Enhanced Conversions / Mixpanel Server-side ensuring data accuracy and reliability. - A governed event / data-layer spec used consistently across the web and ad platforms, driving informed decisions for our experimentation pipeline and marketing initiatives. - Clear documentation and strategy on the infrastructure that’s built so others can build on top of it. 🎯 WHAT YOU’LL DO - Full-stack Google
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