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Data Engineer Google Jobs in Toronto, ON (NOW HIRING)

Dentsu Aegis Network

Data Engineer

Toronto, ON

CA$70K - CA$80K/yr

We'relooking for a Data Engineer with3-5years of hands-on experience to join our team.You'llown the ... Google Ads, GA4, Meta, TikTok, DV360, Campaign Manager 360, LinkedIn Ads, and similar. * Model ...

Klick Health

Data Engineer

Toronto, ON · Hybrid

Google Ads, Meta, or similar platforms) * Advanced degree (Master's or Ph.D.) in Computer Science, Data Engineering, Data Science, or a related quantitative field * Knowledge of database design and ...

Virtusa

Data Engineer

Toronto, ON · On-site

Cloud Developer - Architecture Location PCS CA~TORONTO Years of Experience 5-7 Years Job Summary We ... cloud solutions, particularly in Google Cloud Platform (GCP). This role requires a deep ...

Alpaca

Senior Data Engineer

Toronto, ON · On-site +1

We prioritize open-source technologies in our data stack while leveraging Google Cloud Platform ... Partner with DevOps, Analytics Engineering, and other stakeholders to close infrastructure gaps and ...

ShyftLabs

Senior Data Engineer

Toronto, ON

Cloud & DevOps * Architect cloud-native data platforms across AWS, Azure, or Google Cloud Platform. * Implement Infrastructure-as-Code using Terraform or similar technologies. * Build and maintain CI ...

Paradise Valley Country Club

BI Data Engineer

Markham, ON · On-site

CA$100K - CA$115K/yr

BI Data Engineer Full stack engineer for BI / Reporting solution Location: Markham, ON (Hybrid ... Experience with Google charts API * Building and maintaining API layer for data acquisition and ...

Common CENTS Solutions

BI Data Engineer

Markham, ON · On-site

CA$100K - CA$115K/yr

BI Data Engineer Full stack engineer for BI / Reporting solution Location: Markham, ON (Hybrid ... Experience with Google charts API * Building and maintaining API layer for data acquisition and ...

Pelmorex

Data Engineer, DMP

Oakville, ON · Hybrid

As a Data Engineer you will play a critical role in harnessing behavioral data collected from ... Work extensively with analytics systems such as BigQuery, Google Cloud Dataflow, Apache Spark, and ...

Royal Bank of Canada

Sr Data Engineer

Mississauga, ON · On-site

CA$80K - CA$130K/yr

Snowflake, Databricks, AWS, Azure, or Google Cloud (GCP) * Experience transforming enterprise-level ... Experience with Data Warehouse design and Data Modelling * Computer Science or Engineering degree ...

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Engineering Manager, Data AI & Analytics

Toronto, ON · Hybrid

CA$102K - CA$137K/yr

The Data Engineer Manager partners closely with data architects, analytics teams, and business ... Hands-on experience with cloud platforms such as Azure, AWS, or Google Cloud * Experience leading ...

Royal Bank of Canada

Lead Data Engineer

Toronto, ON · On-site

Experience with cloud platforms, including Amazon Web Services (AWS), Microsoft Azure, or Google ... Data Pipelines, Data Warehousing (DW), DevOps, ETL Processing, Git, Group Problem Solving ...

Charger Logistics Inc

Data Scientist

Brampton, ON · On-site

Google Cloud Professional Data Engineer or Machine Learning Engineer is an asset; SnowPro Advanced: Data Scientist certification preferred. Benefits * Competitive Salary * Healthcare Benefit Package

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Showing results 1-20

All JobsData Engineer Google JobsData Engineer Google Jobs in Toronto, ON

Data Engineer Google information

See Toronto, ON salary details

$27.2K

$117.7K

$163.7K

How much do data engineer google jobs pay per year?

As of Aug 24, 2026, the average yearly pay for data engineer google in Toronto, ON is $117,687.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,002.00 and $139,333.00 per year, depending on experience, location, and employer.

What does a data engineer at Google do?

A Data Engineer at Google designs, builds, and manages systems that collect, store, and process large volumes of data. Their responsibilities include creating data pipelines, ensuring data quality, and optimizing data architectures to support analytics and machine learning initiatives. They work closely with data scientists, analysts, and other engineers to ensure that data is accessible, reliable, and efficiently processed for various business needs.

How do data engineers at Google typically collaborate with data scientists and software engineers?

At Google, Data Engineers work closely with both data scientists and software engineers to build robust, scalable data pipelines and infrastructure. Data Engineers are responsible for ensuring that data is clean, accessible, and optimized for analytics, often translating business needs into technical solutions. Regular collaboration happens through cross-functional meetings, design sessions, and code reviews, where Data Engineers provide expertise in data modeling, ETL processes, and system optimization. This collaborative environment promotes innovation, knowledge sharing, and the successful deployment of data-driven products.

What are the key skills and qualifications needed to thrive as a data engineer at Google, and why are they important?

To thrive as a Data Engineer at Google, you need strong programming skills (especially in Python, Java, or Scala), expertise in data modeling, and a solid understanding of distributed systems, typically supported by a degree in computer science or a related field. Familiarity with Google Cloud Platform (GCP), BigQuery, SQL, Apache Spark, and relevant data engineering certifications is highly valued. Analytical thinking, effective communication, and problem-solving abilities are crucial soft skills for collaborating across teams and translating business requirements into technical solutions. These skills ensure the reliable design, optimization, and scalability of data systems critical to Google's innovation and decision-making.

What is the difference between Data Engineer Google vs Data Engineer Amazon?

AspectData Engineer GoogleData Engineer Amazon
Required CredentialsBachelor's in CS or related, Google Cloud certifications often preferredBachelor's in CS or related, AWS certifications common
Work EnvironmentGoogle Cloud Platform, large-scale data systems, collaborative teamsAWS cloud services, large data pipelines, cross-functional teams
Employer & Industry UsageGoogle, tech and internet servicesAmazon, e-commerce and cloud services
Search & Comparison IntentHigh overlap in cloud data engineering rolesSimilar roles in cloud data engineering

Both Data Engineer Google and Data Engineer Amazon roles require strong data processing skills, cloud platform knowledge, and relevant certifications. While Google emphasizes Google Cloud Platform expertise, Amazon focuses on AWS. Both roles are integral to their respective companies' data infrastructure, with similar work environments and industry usage, making them common comparison points for data engineering careers in cloud environments.

What are popular job titles related to Data Engineer Google jobs in Toronto, ON?

For Data Engineer Google jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Data Engineer Google jobs in Toronto, ON look for?

The top searched job categories for Data Engineer Google jobs in Toronto, ON are:

Data Engineer Google jobs near you
Infographic showing various Data Engineer Google job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution, with an average salary of $117,687 per year, or $56.6 per hour.

Data Engineer

Dentsu Aegis Network

Toronto, ON

CA$70K - CA$80K/yr

Full-time

Medical, Dental, PTO

Re-posted 3 days ago

Job description

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 thesalary range will be based on avariety of factors including relevantexperience, knowledge, and skills.A range of medical, dental, RRSP,paid time off, and/or other benefitsalso are available to all permanentemployees.

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 Canada.Recruitment@dentsu.com or 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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