
Real job — pulled straight from KUBRA’s careers page · Verified June 10, 2026 · No reposts.
Job description
KUBRA is hiring a Data Engineer — a full-time, based in Mississauga, ON role. Apply directly on KUBRA's careers page below.
Data Engineer
Team: BI
Location: Mississauga, ON
Commitment: Full-time
Workplace Type: hybrid
How You’ll Contribute
- 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
Strengths That Shine in This Role
- 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
Skills That Matter in This Role
- 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
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
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Frequently asked questions
What skills are required for Data Engineer at KUBRA?
The required skills for Data Engineer at KUBRA include: SQL Server, AWS, Spark, Databricks, SQL, Power BI, Tableau, Kafka, Kinesis.
What is the seniority level for Data Engineer at KUBRA?
Data Engineer at KUBRA is a Mid Level level position.
How do I apply for Data Engineer at KUBRA?
You can view the full description and apply for Data Engineer at KUBRA on EchoJobs: https://echojobs.io/job/kubra-data-engineer-ba3kb.