We’re looking for a Data Engineer to join our Product Development - Business Intelligence team. In this role, you’ll design, build, and maintain scalable data infrastructure and cloud-based data pipelines that enable reliable data processing, reporting, and insights.
You’ll work closely with BI Analysts, product teams, and cross-functional partners to ensure data is high-quality, accessible, and structured for analysis. This role supports business intelligence efforts by developing data models, improving ETL processes, automating manual workflows, and helping deliver reliable client-facing reporting solutions.
Design, build, and maintain scalable cloud-based data pipelines and ETL processes to support BI and reporting solutions
Develop and maintain data infrastructure across SQL Server, AWS, and cloud-based data platforms
Build, troubleshoot, and optimize data pipelines using PySpark, Databricks, SQL, and cloud data services
Design and implement data models optimized for analytics, warehousing, and reporting use cases
Partner with BI Analysts to manage client reporting requirements and support data-driven insights
Automate manual data processes to improve efficiency, consistency, and data quality
Maintain and improve existing data infrastructure, pipelines, and reporting data flows
Work with the product Technical Writer to document data infrastructure, pipelines, models, and processes
Collaborate with Product, BI, Engineering, and Data Analytics teams to support reliable reporting and analytics solutions
Share technical knowledge with coworkers and contribute to continuous improvement of data systems and processes
Stay current with modern data engineering technologies, including Databricks, PySpark, cloud platforms, data modeling, and streaming data tools
Participate in client-facing sessions when needed, including design discussions, technical presentations, and training
Strong problem-solving mindset with a focus on data quality, reliability, and continuous improvement
Ability to translate BI and reporting requirements into scalable technical data solutions
Strong communication skills and professionalism when working with internal teams and clients
Collaborative approach with the ability to build relationships across technical and non-technical teams
Ability to influence others, manage conflicts, and support productive technical discussions
Proactive and self-driven, with the ability to work independently in a results-focused environment
Strong organization and time management skills, especially when balancing multiple priorities
Comfortable troubleshooting issues, handling pressure, and supporting business-critical reporting needs
Willingness to share knowledge, document work clearly, and contribute to a cohesive team environment
Bachelor’s or Master’s degree in Computer Science, Statistics, Analytics, Data Engineering, or a related field
3–5 years of cloud data engineering experience on a major cloud platform, preferably AWS
Hands-on experience building data pipelines in cloud environments
Demonstrable experience with PySpark
Hands-on experience with Databricks
Strong proficiency in SQL and experience working with SQL Server or similar relational databases
Hands-on knowledge of data modeling, data warehousing, and BI reporting concepts
Experience designing data models that support analytics, reporting, and business intelligence use cases
Familiarity with BI tools and reporting environments such as Power BI or Tableau
Experience maintaining, troubleshooting, and optimizing ETL/data pipeline processes
Experience with streaming data tools such as Kafka, Kinesis, or similar technologies is an asset
Experience documenting technical processes, data infrastructure, and pipeline logic
Ability to participate in occasional client-facing design sessions, presentations, or training as needed
Thrive in an award-winning culture that champions growth, embraces diversity, and fosters inclusion for all. See our awards →
Earn annual performance-based bonuses recognizing your contributions
Enjoy generous benefit coverage with low premiums, plus a Healthcare Spending Account and Wellness Spending Account
Invest in your future with RRSP matching
Take time to recharge with paid vacation and sick days, and enjoy a paid day off for your birthday
Make a difference with two paid volunteer days to support causes you care about
Keep learning with free access to LinkedIn Learning and our education reimbursement program for continued development
Feel appreciated through our employee recognition programs
Support your mental health with a free premium Headspace membership
Stay refreshed with unlimited access to fully stocked beverage stations
Save more with exclusive Perkopolis retail discounts
Data EngineerCAD 100000–130000