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

CBC/Radio-Canada • Montreal, QC

4d • Hybrid

About The Position

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.

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 Radio-Canada.ca, 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.

Requirements

• You have applied Big Data processing techniques in a professional context and are familiar with the associated tools.
• You have experience collecting, standardizing, and transforming raw data (ETL/ELT), ideally including marketing and advertising data from platforms such as Google Ads, Meta or similar.
• You have experience in data modeling, specifically in data warehouses, data lakes, or lakehouses.
• You have a solid understanding of marketing and advertising challenges, and are comfortable communicating with non-technical teams (Marketing, Communications, Sales).
• You understand the importance of data governance, quality, and security.
• You have experience in SQL/Python/Java/Scala development and care deeply about code quality and cleanliness.
• You are passionate about automation and optimization.
• You have experience gathering client requirements and translating them into technical solutions in a data and analytics context.
• You are self-directed and enjoy stepping outside your comfort zone.
• You enjoy collaborating, sharing knowledge, and are always open to others' ideas.
• Professional proficiency in French, an asset.

Nice To Haves

• Knowledge of agentic AI and experience integrating AI-powered solutions into data pipelines or analytical workflows.
• Affinity for marketing, digital advertising, or communications.
• Experience in the media and entertainment industry.
• Experience with Databricks, Delta Lake, or Iceberg.
• Experience with a Big Data processing framework (Apache Spark preferred).
• Experience with a cloud provider (Azure preferred).
• Experience with real-time data streaming, messaging, and event streaming tools (Kafka, Azure Service Bus, Azure Event Hubs preferred).
• Familiarity with one or more workflow orchestration tools (Airflow preferred).
• Experience with CI/CD tools and processes.

Responsibilities

• 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.

Benefits

• A hybrid work environment with flexible hours, allowing you to prioritize your well-being, family, and work.
• Competitive compensation and benefits package.
• Opportunities to work with cutting-edge technologies, including agentic AI.
• Learning and professional development opportunities.
• Opportunities to join our employee resource groups.
• Pair programming and mentorship opportunities — learn from the best in the industry while helping coach new talent.
• A creative and dynamic work environment where your ideas and contributions are heard, valued, and respected.
• An environment that encourages experimentation and an iterative approach to reach the highest level of technical innovation.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed