Specialist, Data Engineering

Job Summary

Reporting to the Lead Data Engineering, the Data Engineering Specialist is responsible for designing, developing, and maintaining data integration and transformation processes in our cloud-based data platform.

While experience in Google Cloud Platform (GCP) is a significant asset, candidates with proven expertise in other major cloud platforms (AWS, Azure) will also be considered. This role emphasizes data governance, classification, and compliance—leveraging tools such as Collibra to ensure high-quality, secure, and well-documented data assets.

Relevant du Gestionnaire, Ingénierie des Données, le Spécialiste en Ingénierie de données est responsable de la conception, du développement et de la maintenance des processus d’intégration et de transformation des données sur notre plateforme de données basée sur le cloud.

Key Responsibilities

• Data Integration & Architecture
• Develop and orchestrate data pipelines for ingestion from various sources (e.g. MySQL, Oracle, PostgreSQL, flat files…) into a cloud-based environment and move data around multiple systems based on the business needs and requirements.
• Collaborate with Data Analysts and Data Architects on defining data models, requirements, and architecture for optimal performance in databases (e.g. BigQuery or other cloud-based relational databases).
• Ensure robust ETL / ELT processes that support scalability, reliability, and efficient data access.
• Data Governance & Classification
• Implement and maintain data governance frameworks and standards, focusing on data classification, lineage, and documentation.
• Utilize Collibra or similar platforms to manage data catalogs, business glossaries, and data policies.
• Work closely with stakeholders to uphold best practices for data security, compliance, and privacy.
• Process Improvement & Automation
• Identify, design, and implement process enhancements for data delivery, ensuring scalability and cost-effectiveness.
• Automate manual tasks using scripting languages (e.g., Bash, Python) and enterprise scheduling / orchestration tools like Airflow.
• Conduct root cause analysis to troubleshoot data issues and implement solutions that enhance data reliability.
• Cross-Functional Collaboration
• Partner with cross-functional teams (IT, Analytics, Data Science, etc.) to gather data requirements and improve data-driven decision-making.
• Provide subject matter expertise on cloud data services, data classification standards, and governance tools.
• Monitor and communicate platform performance, proactively recommending optimizations to align with organizational goals.

Technical Expertise

Data Pipeline Development

Security & Compliance

Soft Skills

Education & Experience

You’ll Benefit From

Location

Burlington, ON

Company

Cogeco Connexion Inc

At Cogeco, we know that different backgrounds, perspectives, and beliefs can bring critical value to our business. The strength of this diversity enhances our ability to imagine, innovate, and grow as a company. So, we are committed to doing everything in our power to create a more diverse and inclusive world of belonging.

By creating a culture where all our colleagues can bring their best selves to work, we’re doing our part to build a more equitable workplace and world. From professional development to personal safety, Cogeco constantly strives to create an environment that welcomes and nurtures all. We make the health and well-being of our colleagues one of our highest priorities, for we know engaged and appreciated employees equate to a better overall experience for our customers.

If you need any accommodations to apply or as part of the recruitment process, please contact us confidentially at inclusion@cogeco.com

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