Job Description:
Our mission is to Drive Business Performance. We use data to create personalized and connected experiences that deliver transformative business outcomes. Our role is to ensure our clients meet their quantifiable business goals every day, consistently, in every market. We are entirely focused on delivering better business results through optimization, creation and analysis across all digital platforms. Our scope ranges from recommending how to use content more effectively to optimizing daily media channel performance and maximizing visibility in eCommerce platforms.
We're looking for a Data Engineer with 3–5 years of hands-on experience to join our team. You'll own the ingestion, modelling, and delivery of data from the advertising platforms our clients run on — building reliable pipelines in a cloud data warehouse (BigQuery, Redshift, or Snowflake) that power reporting, analytics, and activation.
Accountabilities:
Design, build, and maintain production data pipelines in a cloud data warehouse — BigQuery, Redshift, or Snowflake — from ingestion through to analytics-ready models.
Develop and manage API and connector-based integrations with major advertising platforms: Google Ads, GA4, Meta, TikTok, DV360, Campaign Manager 360, LinkedIn Ads, and similar.
Model campaign, spend, and performance data into clean, well-documented datasets that media, analytics, and client-services teams can trust.
Monitor pipeline health inclusive of enabling taxonomy compliance, troubleshoot data discrepancies against platform UIs, and own the fix end-to-end.
Partner with analysts, strategists, and ad-ops to translate reporting and measurement needs into scalable data models.
Contribute to data quality, documentation, and engineering standards across the team.
Qualifications:
3–5 years of professional data engineering experience, including production deployments on a major cloud data warehouse such as BigQuery, Redshift, or Snowflake.
Strong SQL skills and solid Python (or equivalent) for pipeline development and transformation logic.
Demonstrated experience working with advertising platform data, pulling from platform APIs or connectors (e.g., Google Ads, GA4, Meta, TikTok, DV360) and reconciling it against platform reporting.
Understanding of advertising data concepts: impressions, clicks, conversions, attribution windows, UTM taxonomy, audience and cost data.
Experience with a workflow orchestrator (Airflow, Dagster, Prefect, or similar) and version control (Git).
Comfort working directly with non-technical stakeholders (media planners, analysts, and account leads) to scope and deliver.
Nice to have:
Experience with dbt for transformation and modelling.
Familiarity with Looker Studio, PowerBI, or similar for downstream BI enablement.
Exposure to marketing measurement work such as MMM, MTA, incrementality testing, or clean-room environments (Ads Data Hub, Meta Advanced Analytics, Amazon Marketing Cloud).
Experience with broader cloud platform services such as GCP (Cloud Functions, Pub/Sub, Dataflow), AWS (Lambda, S3, Glue), or Azure equivalents.
Exposure to Databricks or other lakehouse platforms for large-scale data processing.
Prior experience at a media agency, ad-tech vendor, or in-house marketing data team.
Additional information
Vacancy: Is this posting for the purposes of filling an existing vacancy [Y/N]
The salary range for this position is $70k-80k. Actual salary within the salary range will be based on a variety of factors including relevant experience, knowledge, and skills. A range of medical, dental, RRSP, paid time off, and/or other benefits also are available to all permanent employees.
AI Disclosure: [dentsu] utilizes artificial intelligence tools as part of its recruitment process, as during the sourcing and screening stages. All other parts of the dentsu application and hiring processes do not utilize artificial intelligence tools.
We know through experience that different ideas, perspectives and backgrounds foster a stronger and more creative work environment that delivers better business results. We strive to create workplaces that reflect the clients we serve and where everyone feels empowered to bring their full, authentic selves to work. We are committed to working with our candidates from all ability levels throughout the recruitment process to ensure that they have what they need to be at their best. If you need accommodation during the application or interview process, please contact [email protected] or to begin a conversation about your individual accessibility needs throughout the hiring process.
Location:
TorontoBrand:
Dentsu MediaTime Type:
Full timeContract Type:
PermanentSkills Required
- 3-5 years of professional data engineering experience
- Strong SQL skills
- Solid Python experience for pipeline development
- Experience working with advertising platform data and APIs
- Experience with workflow orchestrators such as Airflow
dentsu Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about dentsu and has not been reviewed or approved by dentsu.
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Parental & Family Support — Paid parental leave at full pay and caregiver supports (including backup care) are emphasized as standout elements. Feedback suggests family-oriented benefits are a strong part of the package.
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Leave & Time Off Breadth — Flexible or unlimited PTO, extensive paid holidays, and a year-end office closure are established components. Feedback suggests time-off policies are generous and add meaningful flexibility.
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Retirement Support — A large, established 401(k) plan with employer matching is clearly documented. Feedback suggests retirement benefits feel competitive and straightforward.
dentsu Insights
What We Do
We are dentsu. We team together to help brands predict and plan for disruptive future opportunities and create new paths to growth in the sustainable economy. We know people better than anyone else and we use those insights to connect brand, content, commerce and experience, underpinned by modern creativity. We are the network designed for what’s next
