Big Data Senior Developer, Marketing & Advertising Data (French Services) (Telework​/Hybrid

Position Title:

Big Data Senior Developer, Marketing & Advertising Data (French Services) (Telework/Hybrid)

Status of Employment:
Contractee Long-Term (Durée déterminée)

Position Language Requirement:
French

Language

Skills:

French (Reading), French (Speaking), French (Writing)

At CBC/Radio-Canada, we create content that informs, entertains and connects Canadians on multiple platforms. Our successes and accomplishments are driven by embodying and upholding values, which include creativity, integrity, inclusiveness and relevance.

Do you think you have the ability and drive to keep up with this exciting, ever-changing industry? Whether it be in front of the camera, on air, online or behind the scenes, you would be joining a team that thrives on making connections and telling stories that are important to Canadians.

Unposting Date: :59 PM

As part of a strategic initiative to modernize our digital ecosystem, we are looking for a passionate Big Data Developer who can design and integrate features powered by agentic artificial intelligence to deliver personalized experiences to our users.

The Digital Technologies team is connected to every facet of the organization as a strategic partner, data solutions provider, and catalyst for data-driven initiatives. It supports product, content, and decision‑making teams across Digital Media, and is the accelerator of a major shift toward data‑driven decision‑making in an organization committed to growing public‑facing products such as , ICI TOU.TV, and OHdio.

The Big Data team maintains the platform, datasets, and several applications that form the foundation for business intelligence, audience activation, machine learning, and all other data practitioners contributing to the CBC/Radio-Canada mission.

This is a hybrid position with a mix of in-office and remote work. Work arrangements will be discussed with hiring managers per departmental guidelines.

You will join a team at the heart of CBC/Radio-Canada's data transformation, with a mandate focused on the needs of the Marketing and Communications teams. You will be responsible for centralizing, integrating, and activating advertising data from multiple partners and ad placement platforms (social networks, ad networks, etc.) to build a reliable and actionable central data platform.

To help maintain the Big Data platform and further develop our data and analytics practice, we are looking for a Developer Analyst who will support all aspects of platform analysis and development, including data product design, administration of tools such as Airflow and Databricks, development of data ingestion and transformation processes, and any other data engineering solutions.

• Lead the implementation of a central marketing data platform by consolidating feeds from multiple advertising placement providers (Meta Ads, Google Ads, etc.).
• Work closely with Marketing and Communications teams to understand their analytical needs, translate their requirements into robust technical solutions, and deliver reliable data pipelines.
• Analyze, document, and develop the extraction, normalization, transformation, and integration of multiple data sources into the Big Data platform.
• Participate in the administration of the Big Data platform by enforcing access controls, monitoring usage and costs, and defining its configuration.
• Analyze and develop data engineering solutions that enable new marketing and advertising data use cases.
• Contribute to continuous improvement of development practices through code reviews, writing tests, and sharing innovative approaches with colleagues.
• Participate in establishing a data governance plan in accordance with our privacy and personal information protection policies.
• Provide technical expertise, guidance, and support to members of the Business Intelligence, Marketing, and Communications teams.
• Contribute to the evolution of the media and entertainment sector by collaborating on research projects with universities.

• You have applied big data processing techniques in a professional context and are familiar with…