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Added 37 mins ago
Senior Community Manager
Kabam
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Full-time
Reporting to the Lead Community Manager, the Senior Community Manager will be one of the voices and faces of our flagship game Marvel Contest of Champions. They will be responsible for…
Added 52 mins ago
Cook
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Part-time
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Added 2 hours ago
Senior Manager, Events
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Added 2 hours ago
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Senior Manager, Data Engineering
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Remote, Canada
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Uncertified Cook (Part-time) - Canterbury Place (2026-10815)
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We are seeking a talented Senior Advance Quality Engineer to join our Product Quality team, responsible for ensuring product quality during the development and launch phases. This role…
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Senior Program Manager – Oracle ERP
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OMD

Junior Data Engineer

Toronto, ON, Canada

Job type: Full-time
Apply by: Oct 21, 2026
Experience: Experience & Background: You have 2+ years of experience in data engineering or related technical roles.
Posting language: English
Posted: Sep 21, 2026

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Original job description

Agency

Omd

Job Function

Consulting

Job Subfunction

Technology Consulting

Job Description

About the role

The Data Engineering team is responsible for building and maintaining robust data infrastructure and dashboarding solutions for OMD's highest profile clients. We work closely with analytics and strategy teams to ensure clean, reliable, useable data flows and compelling visualizations that drive business insights.

What Will You Do

As a Junior Data Engineer, you will support the execution of our dashboarding roadmap and contribute to ongoing data operations. With guidance from Data Engineering senior stakeholders and MarSci teams, you will be responsible for:

Marketing Data Engineering & Pipeline Development

Build, maintain, and optimize ETL/ELT workflows supporting marketing analytics and reporting.
Develop production-ready SQL transformations to clean, structure, and prepare marketing datasets.
Create reusable datasets and data models that support dashboards, reporting, experimentation, and advanced analytics.
Collaborate with analytics and marketing science teams to translate business requirements into scalable data solutions.

Marketing Cloud Intelligence (Datorama) Dashboard & Data Model Rebuild

Redesign and optimize the underlying data model within Marketing Cloud Intelligence (Datorama).
Rebuild data views, datasets, and reporting structures to improve usability and scalability.
Improve dashboard performance, data refresh processes, and reporting efficiency.
Identify opportunities to automate recurring reporting processes.
Support evaluation and potential migration of dashboards from Marketing Cloud Intelligence (Datorama) to Tableau.

Data Integration & Data Preparation

Extract and integrate marketing data from multiple sources, including:
Marketing Cloud Intelligence (Datorama)
Google BigQuery
Vendor-provided CSV/Excel files
Third-party marketing platforms through APIs
Build and maintain data ingestion processes to ensure timely and accurate data availability.
Clean, transform, and standardize data from multiple sources for analysis.

Data Quality & Documentation

Implement data validation checks to identify data quality issues and inconsistencies.
Monitor data accuracy and troubleshoot issues affecting reporting and analytics.
Maintain data dictionaries, metric definitions, and documentation of data processes.
Ensure consistency in business logic across reporting and analytical datasets.

Marketing Analytics Enablement

Understand the data requirements behind marketing measurement approaches, including:
Attribution & Multi-Touch Attribution (MTA)
Marketing Mix Modeling (MMM)
Incrementality testing & Experimentation
Forecasting
Partner with Marketing Science analysts and data scientists to support measurement, modeling, and optimization efforts.

Technical Skills & Experience

Strong SQL skills and ability to write production-quality queries.
Experience with data transformation and modeling.
Experience working with cloud data warehouses (Google BigQuery preferred).
Familiarity with APIs and data integrations.
Experience working with marketing analytics data sources is preferred.
Experience with visualization platforms such as Tableau is an asset.
Understanding of marketing measurement concepts and analytical methodologies.
Familiarity with Airflow

What We Are Looking For

Experience & Background: You have 2+ years of experience in data engineering or related technical roles. You have a strong foundation in data fundamentals and are eager to grow your skills. You are comfortable working in technical environments and have a track record of learning new tools quickly.

Technical Skills: You have hands-on experience with the skills outlined above. Proficiency in Excel is expected. You have familiarity with SQL, and basic understanding of data modelling concepts is a plus. You are comfortable working with APIs and databases.

Communication & Problem-Solving: You are a clear communicator, both written and verbal. While technical, you can also explain data concepts to non-technical colleagues. You are a detail-oriented problem solver who approaches challenges methodically, but also creatively if the opportunity arises. You take pride in the quality and accuracy of your work.

Mindset: You are curious and passionate about learning. You work collaboratively with others and are eager to contribute to team success. You are proactive, reliable, and committed to continuous improvement. You understand the importance of data integrity and best practices.

This is an active vacancy. We are currently hiring for this role and reviewing applications on an ongoing basis.

Expected Salary: $55,000 - $65,000

Omnicom Media is providing the compensation range that the company is willing to pay for this position based on the successful applicant’s education, experience, knowledge, skills and abilities.

In Addition, Omnicom Media Provides Rewarding Offerings Such As

Generous paid time off with a minimum of 37 paid days off including vacation and monthly wellness days. We also have four-day long weekends, half-day summer Fridays, and meeting-free Friday afternoons year-round.
A flexible hybrid work model that works for you.
A focus on personal development with formal training opportunities, including mental health training and inclusion education for everyone.
A chance to be part of and grow within a global network of agencies.
The opportunity to contribute to our company culture by joining one of our many community-based employee groups, such as Black Employee Network, Girls on Fire, Hispanic or Latinx Alliance, Neuro Network, Pan-Asian Network, and Rainbow Lounge.

Omnicom is an equal opportunity employer, committed to providing equal employment opportunities to all employees and applicants without regard to race, colour, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, disability, or any other basis prohibited by applicable federal, provincial, or municipal law. If you require an accommodation in any aspect of the selection process, please reach out to [email protected]

Salary range: $55,000 - $65,000

Omnicom’s policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their agency or manager. Our objective is to increase this requirement over time, and many of our agencies as well as Omnicom’s corporate group already require five days of in-office attendance.

Omnicom is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed, and we’re focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us - we look forward to getting to know you. We will process your personal data in accordance with our Recruitment Privacy Notice.

Link to Recruitment Privacy Notice: https://www.omc.com/privacy-notice/

,

Salary range: $55,000 - $65,000

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More about this job

Responsibilities

You will build and maintain ETL/ELT workflows and data models to support marketing analytics and reporting. Additionally, you will optimize data infrastructure and collaborate with analytics teams to ensure reliable data flows and visualizations.

Requirements

The role requires at least 2 years of experience in data engineering and strong proficiency in SQL. Candidates should have a solid foundation in data fundamentals, experience with cloud data warehouses, and the ability to communicate technical concepts effectively.

Skills

SQL
Data engineering
ETL/ELT
Google BigQuery
Marketing Cloud Intelligence
Datorama
Tableau
Data modeling
API integration
Data visualization
Data quality
Marketing analytics
Airflow
Data transformation
Excel

Benefits

Generous paid time off
Monthly wellness days
Four-day long weekends
Half-day summer Fridays
Meeting-free Friday afternoons
Flexible hybrid work model
Formal training opportunities
Mental health training
Inclusion education

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
SQL
ETL
ELT
Google BigQuery
Marketing Cloud Intelligence
Datorama
Tableau
Data Modeling
API
Data Ingestion
Data Quality
Marketing Analytics
Attribution
Airflow
Data Infrastructure
Dashboarding
Marketing Science
Data Transformation
Excel

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