More jobs:
Data Engineer
Job in
Mississauga, Ontario, Canada
Listed on 2026-06-16
Listing for:
TechDoQuest
Part Time
position Listed on 2026-06-16
Job specializations:
-
IT/Tech
Data Analyst, Data Engineering, Data Science Manager
Job Description & How to Apply Below
This is a 12‑month contract.
Position:
Data Engineer – Adobe/Analytics
Location:
Toronto
Mode of Work:
Hybrid (3 days a week)
This job posting is for an existing, active vacancy and we are looking to hire a Data Engineer.
SummaryWe are looking for a Data Engineer within the Client’s Digital Platform team. You will play a central role in building and maintaining the data collection, event schema, and analytics pipeline infrastructure that powers measurement, optimization, and personalization capabilities across Client’s public‑facing digital websites.
Working within an Adobe Experience Manager as a Cloud Service environment, you will help deliver reliable, scalable, and governed data solutions across both Adobe and Google Analytics platforms.
Roles & Responsibilities- Design, implement, and maintain client‑side data layer architectures using Adobe Client Data Layer (ACDL) or Google Client Data Layer (GCDL) patterns, ensuring consistent, reliable, and governance‑aligned data capture across AEM‑powered websites.
- Configure and manage Adobe Experience Platform Tags, Google Tag Manager, and related rules, triggers, and data elements for accurate digital data capture.
- Build and maintain AEP datasets, XDM schemas, GA4 event models, and reporting‑ready data structures for downstream analytics and activation use cases.
- Enable and support Adobe Target, A4T, and Google‑side experimentation tracking to improve optimization and performance measurement.
- Develop analytics‑ready data pipelines and transformation logic to support reporting, attribution, experimentation, and audience insights.
- Partner with digital analytics, product, engineering, and privacy teams to improve data quality, governance, and implementation consistency across the platform.
- Experience in data engineering, digital analytics engineering, or marketing technology implementation within large enterprise environments.
- Strong knowledge of Adobe Experience Platform Tags, Google Tag Manager, and client‑side data layer implementation.
- Hands‑on experience with XDM schemas, AEP datasets, GA4 event design, and digital data collection frameworks.
- Experience supporting Adobe Target, A4T, and cross‑platform experimentation or reporting integrations.
- Proficiency in JavaScript and experience working with web applications, tag logic, and event‑driven data collection.
- Experience building data pipelines for analytics, reporting, and optimization use cases with a robust focus on data quality, security, and governance.
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