Apply now

Posted 2 months ago

Junior Data Engineer

@ OMDCA OMD Canada

Toronto, Ontario

HybridFull-time2+ years experience
Apply now
SIGNALS

Overview

OMD Canada, part of Omnicom Media, is hiring a Junior Data Engineer to build and maintain ETL/ELT pipelines, SQL transformations and dashboard data models for marketing analytics clients. The role requires 2+ years in data engineering or a related technical role, with strong SQL and cloud warehouse experience. The posted salary is $55,000 to $65,000, with a hybrid arrangement requiring at least three office days per week.

Responsibilities:

  • Build, maintain and optimize ETL/ELT workflows for marketing analytics
  • Develop production-ready SQL transformations and reusable data models
  • Redesign and rebuild data models and dashboards in Datorama
  • Integrate marketing data from BigQuery, CSV/Excel files and APIs
  • Implement data validation checks and maintain documentation

Requirements summary:

  • 2+ years of experience in data engineering or related technical roles
  • Strong SQL skills and production-quality query writing
  • Experience with cloud data warehouses, Google BigQuery preferred
  • Familiarity with APIs, data integrations and Airflow
  • Proficiency in Excel and clear communication skills

Tools & skills

Source and dates

Employer career site / ATS feed · workday

Employer posting date
2026-09-20
First seen by our source
2026-10-08
Source record updated
2026-10-22

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Job details

SeniorityEntry level
DepartmentData & analytics
Experience2+ years
Hours per week40 (estimated)
Work settingOffice
PositionMostly sitting
Physical demandsphysical low · computer high
LanguagesEnglish
Perks mentionedGenerous paid time off, Flexible hours, Wellness, Paid training

Summary and details written by AI from the posting; the employer’s posting is the authority.

OMDCA OMD Canada

FieldValue
Open jobs on Jobsy12
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/

Similar jobs

  • Senior Data Engineer

    Mississauga, ON

    Capgemini

    8+ YOECandidates need 8+ years in data engineering and warehousing, with advanced Python, PySpark and SQL skills and strong Microsoft Azure experience. Proven leadership of technical teams and experience with Spark-based big data solutions are required.

    Microsoft Fabric, Azure Data Factory, Azure Synapse Analytics, Databricks, Azure Data Lake Storage, Snowflake

  • Senior Data Engineer

    Toronto, ON
    Full Time

    Canadian Imperial Bank of Commerce (Canada): C'est aussi pourquoi une carrière à la Banque CIBC est plus qu'un emploi : c'est une occasion de grandir et de travailler aux côtés de certaines des…

    5+ YOE3+ MgmtCandidates need 5+ years of data engineering experience and 3+ years of technical leadership, with strong SQL, Python and Azure skills and experience with Databricks. Azure Data Factory, Power BI or Microsoft Fabric experience is an asset.

    SQL, Python, Microsoft Azure, Databricks, Azure Data Factory, Power BI

  • Data Engineer II

    Brampton, ON
    Full Time

    Loblaw

    3+ YOECandidates need 3+ years in data, software or cloud engineering with production experience. They should know Python, SQL, Git, GCP, Kubernetes, Docker, Helm, CI/CD and Apache Airflow.

    GCP, BigQuery, Google Cloud Storage, GKE, Docker, Helm

  • Senior Data Engineer (Technology Advisory)

    Toronto, ON
    Contract

    Jarvis Consulting Group

    7+ YOECandidates need 7+ years of data engineering experience, solid Databricks and Spark development skills, and experience with Hadoop, streaming tools and cloud platforms. A university degree in a relevant STEM field and strong communication skills are also needed.

    Databricks, Spark, Hadoop, Hive, HDFS, Kafka

    Data Engineer

    Toronto, ON

    Jarvis Consulting Group

    1+ YOECandidates need a bachelor's degree in business or a similar field and about one year of compliance or similar work. Strong attention to detail, communication skills and the ability to work under pressure are also required.

  • Data Engineer

    Guelph, ON

    Royal Distributing

    2+ YOECandidates need 2 to 4 years in data engineering, analytics engineering or a strong BI role with pipeline work, plus strong SQL, Python and cloud warehouse experience, Snowflake preferred. They must have production ETL or orchestration experience and a disciplined approach to validating data.

    Snowflake, Python, Git

  • Data Engineer (Sports & Prediction Markets)

    Toronto, ON
    Full Time

    Betstamp Ventures

    Candidates need strong backend programming fundamentals (Go, Java, C#, Rust, C++, Kotlin or server-side TypeScript), comfort with SQL and query performance, some Linux and container experience, and thoughtful use of AI coding tools. Based in Toronto or willing to relocate.

    Go, PostgreSQL, ClickHouse, Redis Streams, Dragonfly, RabbitMQ

  • Data Engineer - Snowflake, dbtCore/Cloud, AWS

    Markham, ON

    Aviva Canada Inc: Leading insurer for home, auto, lifestyle and Business / Assurance automobile, habitation, mode de vie et entreprise

    6+ YOECandidates need 6+ years of data engineering experience, including 3+ years with Snowflake, dbt and AWS. Strong coding skills in SQL and Python and experience with orchestration tools are required, and insurance domain knowledge is an asset.

    Snowflake, dbt Core, dbt Cloud, AWS, Terraform, Airflow

Locations & environments

Locations

All of CanadaRemote · Hybrid · On-site · Field

Pro tip: add remote jobs to widen your search.

Exclude locations

Workplace type

Company jobs in these results

These are this company’s jobs loaded in your current search. The company may have more openings.