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Data Engineer
Data EngineerPublicis Groupe ANZ • Toronto, ON, CA
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Data Engineer

Data Engineer

Publicis Groupe ANZ • Toronto, ON, CA
30+ days ago
Job type
  • Full-time
Job description

Company description

Saatchi & Saatchi is an advertising agency with the belief that creativity, data, media and technology should all work together, and we use that to influence human behavior and drive success for clients. S&S is one of the world's largest agency networks with 114 offices and more than 6000 employees globally. Here in our Toronto office we work with some of the countries most valued brands including Toyota, Buckley's, and Children's Advil, as well as several under the Mondelez banner (Crispers, Oreo, and Chips Ahoy just to name a few). We’re an award winning agency in both creativity and effectiveness, so it’s really important for us here to convert that innovation and the great ideas into real tangible business results for the organization.

Overview

We are looking for a Data Engineer for an innovative new AI initiative.

Full-time and freelance opportunities are available, with positions starting immediately. You should have a minimum of 6 years of experience building scalable data pipelines and infrastructure.

You are passionate about enabling data-driven decision making and have experience with modern cloud data platforms.

You understand the importance of data quality, governance, and accessibility.

Responsibilities

  • Design and implement scalable data pipelines on cloud platforms (GCP preferred).
  • Build and maintain ETL/ELT processes for ingesting data from multiple enterprise sources.
  • Develop data models and schemas that support AI/ML workloads and analytics use cases.
  • Ensure data quality through validation, monitoring, and automated testing frameworks.
  • Collaborate with AI/ML engineers to prepare and optimize datasets for model training and inference.
  • Implement data governance practices including lineage tracking, cataloging, and access controls.
  • Optimize query performance and manage costs across data infrastructure.
  • Support real-time and batch data processing requirements for the platform.

Qualifications

  • +6 years of professional experience in data engineering.
  • Strong proficiency with cloud data services (BigQuery, Dataflow, Cloud Storage, or equivalent).
  • Expert knowledge of SQL and experience with data modeling best practices.
  • Experience with Python for data processing and pipeline development.
  • Familiarity with Databricks or similar unified analytics platforms.
  • Familiarity with Apache Beam, Apache Spark, or similar distributed processing frameworks.
  • Understanding of data warehousing concepts (dimensional modeling, slowly changing dimensions).
  • Experience with workflow orchestration tools (Airflow, Prefect, or similar).
  • Knowledge of streaming data architectures and event-driven patterns.
  • Experience with data quality frameworks and testing methodologies.

Additional information

  • Fully remote position; candidates must already be based in Canada and have legal work authorization in the country.
  • Competitive annual vacation program, enhanced between Christmas and New Year’s when our offices are closed.
  • Extended statutory holidays (we give you the Mondays and Fridays of provincial holidays so you can enjoy long 4-day weekends!).
  • 6 sick days per year and 2 personal days per year.
  • “Work Your World” program, allowing you to work remotely for up to 6 weeks in any country where we have an office (50+ countries).
  • Comprehensive group insurance benefits (medical and dental care, vision care, psychological and paramedical services, disability insurance, fertility support, and gender-affirming care).
  • Internal support and guidance program for cancer, fertility, and gender transition.

Saatchi is an equal opportunity employer and we welcome and encourage applications from all interested parties. Accommodations are available, upon request, for all stages of the interview and employment process for those with a disability or medical need during any stage of the recruitment process.

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Data Engineer • Toronto, ON, CA

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