- Design, build, and maintain ETL pipelines to ingest, transform, and deliver large‑scale data efficiently.
- Develop and optimise data models and pipelines in Databricks and Snowflake for performance and cost efficiency.
- Implement and automate workflows using AWS services (Glue, Lambda, S3, API Gateway).
- Write robust, scalable code in Python or Scala for data transformation and orchestration.
- Build and manage data quality and monitoring frameworks using Datadog and Airflow/Astronomer.
- Collaborate with data analysts, scientists, and business teams to define requirements and deliver impactful data solutions.
- Ensure high standards of data integrity, governance, and documentation across systems and projects.
- 5+ years of hands‑on experience in data engineering, focusing on ETL development, data modelling, and automation.
- Proficiency in Databricks and Snowflake, including query optimisation, workload management, and metadata design.
- Strong coding skills in Python or Scala for data processing and automation.
- Experience with key AWS data services (Glue, Lambda, API Gateway, S3).
- Familiarity with Datadog for monitoring and alerting in data workflows.
- Working knowledge of Airflow or Astronomer for orchestration.
- Proven ability to build reliable, maintainable, and well‑documented data systems.
- Experience in the digital advertising or media domain (e.g., ad delivery, identity graphs, campaign data).
- Knowledge of real‑time data processing and event‑driven architectures.
- Familiarity with CI/CD for data pipelines and infrastructure‑as‑code (Terraform).
- Exposure to Agile methodologies (Kanban, Scrum).
- Bachelor's degree in Computer Science, Data Engineering, or equivalent experience.
- Work on high‑impact data challenges in the connected TV and digital advertising space.
- Collaborate with a talented team that values scalability, transparency, and efficiency.
- Access modern data platforms and cloud‑native tools to innovate continuously.
- Be part of a culture that values curiosity, ownership, and well‑documented engineering practices.
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Data Engineer - Toronto - fox
Description
OVERVIEW OF THE COMPANY
Fox CorporationUnder the FOX banner, we produce and distribute content through some of the world's leading and most valued brands, including: FOX News Media, FOX Sports, FOX Entertainment, FOX Television Stations and Tubi Media Group. We empower a diverse range of creators to imagine and develop culturally significant content, while building an organization that thrives on creative ideas, operational expertise and strategic thinking.
JOB DESCRIPTION
We're looking for a Data Engineer who thrives on building scalable, high-performance data systems. In this role, you'll design and automate data pipelines that power analytics, reporting, and decision‑making across our business. You'll work hands‑on with Databricks, Snowflake, and AWS to deliver clean, reliable, and well‑modelled data — enabling teams to move faster and smarter.
If you enjoy solving complex data problems, optimizing performance, and shaping modern data architecture, we'd love to have you on our team.
A SNAPSHOT OF YOUR RESPONSIBILITIES
WHAT YOU WILL NEED
NICE TO HAVE, BUT NOT A DEALBREAKER
WHY JOIN US
#Ll-KD1
#Ll-Hybrid
Learn more about Fox Tech at
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.
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