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Senior Big Data Developer, Marketing & Advertising Data – French Services
Posted last month
About the role
- Big Data Senior Developer responsible for centralizing and activating advertising data for CBC/Radio-Canada. Collaborating with Marketing and Communications teams to build reliable data pipelines.
Responsibilities
- 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, actionable central data platform.
- To help maintain the Big Data platform and further develop our data and analytics practice, we are seeking 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 other data engineering solutions.
- Lead the implementation of a central marketing data platform by consolidating streams from multiple ad placement providers (Meta Ads, Google Ads, etc.).
- Work closely with marketing and communications teams to understand their analytical needs, translate requirements into robust technical solutions, and deliver reliable data pipelines.
- Analyze, document, and develop extraction, normalization, transformation, and integration of multiple data sources into the Big Data platform.
- Participate in administering the Big Data platform by ensuring access control, 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.
- Contribute to 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 advancing the media and entertainment sector by collaborating on research projects with universities.
Requirements
- You have applied Big Data processing techniques in a professional context and are familiar with associated tools.
- You have experience in collecting, normalizing, 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, including in data warehouses, data lakes, or data 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 development experience in SQL/Python/Java/Scala and place a high value on 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.
- Knowledge of agentic AI and experience integrating AI-powered solutions into data pipelines or analytical workflows is an asset.
Benefits
- Hybrid work environment with flexible hours
- Competitive compensation and benefits packages
- Opportunities to work with leading-edge technologies, including agentic AI
- Learning and professional development opportunities
- Opportunities to join our employee resource groups
- Paired programming and mentoring opportunities — learn from industry leaders while helping to train new talent
- A creative, dynamic work environment where your ideas and contributions are heard, valued, and respected
- An environment that encourages experimentation and an iterative approach to achieving the highest level of technical innovation
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