Administrateur principal de plateformes de données chez EDC, société d’État aidant les entreprises canadiennes à réussir à l’étranger. Conception, exploitation et gouvernance de plateformes de données infonuagiques.
About the role
- Data Engineer owning paid media, CRM, BigQuery, and reporting pipelines for an education and nonprofit marketing agency. Building trusted data infrastructure for partner performance analytics.
Responsibilities
- Own data ingestion and pipeline architecture from paid media platforms through Adverity to dashboards
- Connect and maintain API pipelines for Meta, Google Ads, LinkedIn, TikTok, and programmatic platforms
- Build custom Python connectors for unsupported systems
- Build and maintain CRM data connections for Slate, Salesforce, and HubSpot
- Own Google BigQuery warehouse routing, optimization, storage, and schema design
- Manage partitioning, clustering, and storage strategy to control query cost and performance
- Build modular, version-controlled, documented dbt or Dataform transformation pipelines
- Maintain CI/CD pipelines using GitHub Actions and automated testing
- Enforce strict data segregation across multi-client environments
- Create performant data views for Looker Studio dashboards and automated Google Sheets reports
- Translate reporting requirements into warehouse models with the Data and Analytics Manager and client teams
- Monitor pipeline health, resolve API breaks, minimize latency, and troubleshoot discrepancies
- Implement validation frameworks and automated testing
- Proactively identify and report data quality risks to leadership
Requirements
- 5+ years of hands-on data engineering experience
- Strong experience configuring datastreams, transformations, and destinations in Adverity or a comparable ETL platform such as Fivetran, Supermetrics, or Funnel
- Intermediate to advanced SQL skills
- Proven Google BigQuery experience in transformation, partitioning, and modeling
- Expertise in dbt or Dataform
- Python proficiency for custom API connections and pipeline automation
- Experience with CRM data flows and integrations, including Slate, Salesforce, and/or HubSpot
- Deep understanding of marketing metrics including ROAS, CPA, and CAC
- Understanding of paid platform schemas and structuring data to optimize Looker Studio performance
- Proficiency with Git and collaborative development workflows
- Ability to manage multi-client data environments with strict data segregation
- Strong communication skills for explaining complex data workflows to non-technical audiences
- Education marketing experience is especially valued
- Experience integrating AI-driven insights or machine learning models into marketing data pipelines is a bonus
- Familiarity with AI or LLM tools is a bonus
- Experience maintaining generative AI platform APIs is a bonus
- Experience with AI/ML-driven anomaly detection is a bonus
Benefits
- Remote role with flexibility in a distributed, async-friendly team
- Competitive compensation based on experience and location
- High-visibility role with real ownership of the agency's reporting infrastructure
- Opportunity to build the data backbone for an agency serving education and nonprofit organizations
- Culture focused on finding a better way, teamwork, and results
- Direct impact on partners' performance data visibility and trust
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