Sr Data Engineering Developer

Co-operators • Montreal, QC

17h • CA$83,774 - CA$133,700 • Hybrid

About The Position

The Sr Data Engineering Developer is responsible for the design, development and optimization of data products and enterprise data solutions, ensuring the reliability and performance of data pipelines, APIs, and analytics solutions. This role requires a high level of autonomy in managing complex data pipelines, the ability to collaborate with key partners, and to support junior team members while delivering high-quality data for analysis and decision-making, automation, and insight generation.

Requirements

• A degree in Computer Science, Information Systems, or related field is required.
• 3-5 years of experience in Data-adjacent role.
• 3+ years of experience in data engineering with experience in building modern data platforms and data products, along with designing, developing and supporting data or software solutions.
• 3+ years of experience implementing data solutions (Azure preferred).
• Advanced knowledge of data modeling, ETL processes, data warehousing concepts, and best practices in data engineering and analytics.
• Hands-on experience with the following technologies and concepts: Python, Azure Data Lake Storage (ADLS) or Azure Databricks, Azure Synapse SQL, Purview, OpenAI API Standard, Pandas/ Polars, REST APIs, Object Oriented Programming and Concurrent application design.
• Demonstrated ability to evaluate technical challenges, design scalable solutions, and translate business requirements into technical outcomes.
• Ability to develop solutions from the prototype phase into a production-grade system.
• Excellent project management skills with the ability to prioritize and manage multiple priorities simultaneously.
• Excellent verbal and written communication skills with experience presenting to large and small audiences, with varying degrees of technical and business knowledge.
• Proficiency in English is required.

Nice To Haves

• An advanced degree is an asset.
• Having experience with AI services and LLMs would be considered an asset.
• Having experience with Databricks and PySpark would be considered an asset.
• French is an asset.

Responsibilities

• Execute data extraction, cleansing, reconciliation and assess its characteristics, such as data quality.
• Design and maintain a physical and logical data model.
• Use data engineering tools for data querying (ex: SQL), data handling (ex: pySpark, stored procedures), data storage (ex: ADLS), cloud-based development, using tools such as Python, Databricks and data lake platforms.
• Contribute to building scalable data solutions (data pipelines, APIs and more), reusable frameworks, and AI-enabled capabilities that support automation and advanced analytics.
• Bring data to visualization tools by implementing the semantic layer.
• Applying proactive performance optimizations and monitoring of data solutions, such as alerts, while improving scalability, maintainability, and overall architecture.
• Performing research and analysis to solve real-world business problems.
• Use DevOps platforms (ex: GitHub) and manage infrastructure deployments through code (ex: Terraform).
• Configure and use continuous integration and deployment (CI/CD) pipelines, and our infrastructure (ex: Databricks environments) to properly develop and deploy data solutions.
• Promote and comply with security requirements on the platforms and environments used by our data solutions.
• Delivering production ready code (ex: no technical debt, using proper frameworks) and reusable approaches that reduce technical debt.
• Identifying opportunities to collaborate, innovate, and make data-driven decisions, with the ultimate goal of bringing value to the business.
• Partnering with business and technology stakeholders to drive business value.

Benefits

• Training and development opportunities to grow your career.
• Flexible work options and paid time off to support your personal and family needs.
• A holistic approach to your well-being, with physical and mental health programs and a supportive workplace culture.
• Paid volunteer days to give back to your community.
• Competitive salary and incentive programs.
• Comprehensive total rewards package including group retirement savings plans, pension and benefits (e.g., health and wellness, dental, disability and life coverage), mental health support and an employee assistance program.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior