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Salary
$70k – $80k per year
Location
In office (Toronto)
Seniority
Middle · 3+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Dentsu Aegis Network (rebranded globally as dentsu) is a major multinational media and digital marketing communications network specializing in advertising, brand strategy, and business transformation. The organization provides integrated solutions spanning creative storytelling, data analytics, media planning, and customer experience management for leading global brands.

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'relooking for a Data Engineer with3-5years of hands-on experience to join our team.You'llown 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, andmaintainproduction data pipelines ina 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 healthinclusive 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:

  • 3-5years of professional data engineering experience, including production deployments ona major cloud data warehousesuch asBigQuery, 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,audienceand 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 withdbtfor transformation and modelling.

  • Familiarity with Looker Studio,PowerBI, or similarfor downstream BI enablement.

  • Exposure to marketing measurement worksuch asMMM, MTA, incrementality testing, or clean-room environments (Ads Data Hub, Meta Advanced Analytics, Amazon Marketing Cloud).

  • Experience withbroader cloud platformservicessuch asGCP(Cloud Functions, Pub/Sub, Dataflow), AWS (Lambda, S3, Glue), or Azure equivalents.

  • Exposure to Databricks or otherlakehouseplatforms 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] to begin a conversation about your individual accessibility needs throughout the hiring process.

Location:

Toronto

Brand:

Dentsu Media

Time Type:

Full time

Contract Type:

Permanent
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