About the Role

We're looking for a Data Engineer to join our Product Development - Business Intelligence team. In this role, you'll build and maintain data pipelines and infrastructure that power BI products and client-facing reporting solutions.

You'll work closely with BI Analysts and product teams to ensure data is reliable, accessible, and structured to deliver meaningful insights to our clients.

How You'll Contribute

• Design, build, and maintain scalable ETL/ELT pipelines using Python, SQL, Spark, and dbt to support BI solutions
• Develop and manage data infrastructure across SQL Server and AWS environments
• Support migration of on-premise systems to AWS cloud platforms
• Maintain and optimize SSIS packages and existing data workflows
• Design and implement data models (e.g., star schemas) optimized for reporting and analytics
• Partner with BI Analysts using tools such as Power BI/Tableau to deliver client reporting and data-driven insights
• Automate manual data processes using Python and SQL to improve efficiency and data quality
• Document data pipelines, models, and infrastructure across AWS, SQL Server, and Databricks environments
• Collaborate with Product, BI, and Engineering teams to support BI product development leveraging Snowflake, Redshift, or Databricks
• Stay current with emerging data and BI technologies including Kafka, Spark, dbt, and cloud-native tools
• Participate in client-facing sessions when needed (design discussions, presentations, training), showcasing solutions built on AWS and modern data platforms

Strengths That Shine in This Role

• Strong problem-solving mindset with a focus on data quality and reliability
• Ability to translate business and BI requirements into scalable technical solutions
• Collaborative approach with the ability to work across technical and non-technical teams
• Proactive and self-driven, with a strong sense of ownership
• Comfortable working in a fast-paced, product-focused environment
• Strong attention to detail and commitment to continuous improvement

Skills That Matter in This Role

• Bachelor's or Master's degree in Computer Science, Data Engineering, Statistics, or a related field
• 3-5 years of experience in data engineering, preferably supporting BI or analytics teams
• Hands-on experience with AWS or other cloud platforms
• Strong experience building data pipelines (cloud or on-premise) using Python, SQL, Spark
• Solid understanding of data modeling for analytics and reporting (e.g., star schemas, data warehousing concepts)
• Strong proficiency in SQL and Python
• Experience with tools/technologies such as Spark, Kafka, Databricks, Snowflake, Amazon Redshift, and dbt
• Familiarity with BI tools and reporting environments such as Power BI or Tableau
• Experience with streaming data using Kafka or similar technologies is an asset

Why You'll Love Working Here

• 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

$100 - $130 a year

This position is bonus eligible.

At KUBRA, we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

In accordance with Ontario employment legislation, this job posting is for an existing open vacancy

#LI-AA1

While we value the skills and experiences listed in our job requirements, we also recognize that talent comes in many forms, and welcome applications from candidates who meet most but not all specified requirements. If you possess a strong desire to learn and grow in a dynamic work environment, apply now!