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About the Role
We are seeking a Senior Data Engineer to design, build, and optimize modern data platforms that enable analytics, reporting, operational intelligence, and AI-driven solutions. In this role, you will work across the full data lifecycle, developing scalable data pipelines, integrating complex data sources, and delivering high-quality data solutions that support business and customer objectives. You will collaborate with architects, engineers, analysts, and stakeholders to modernize data environments and implement cloud-based data platforms. The ideal candidate is both a strong technical practitioner and a problem solver who enjoys working with modern data technologies, navigating ambiguity, and delivering scalable solutions in dynamic environments.
Responsibilities
- Design, develop, and maintain scalable data pipelines that ingest, transform, and deliver data from structured, semi-structured, and unstructured sources.
- Build and support ETL/ELT solutions across cloud-based data platforms, data warehouses, lakehouses, and analytics environments.
- Develop data integration frameworks that enable reliable, secure, and efficient movement of data across systems.
- Design and implement dimensional models, transformation logic, and data structures that support analytics, reporting, and AI initiatives.
- Work with modern cloud data technologies such as Microsoft Fabric, Databricks, Snowflake, and related platforms.
- Collaborate with architects and stakeholders to translate business requirements into scalable technical solutions.
- Apply data quality, testing, monitoring, lineage, and governance best practices throughout the development lifecycle.
- Optimize data pipelines and data platforms for performance, scalability, reliability, and cost efficiency.
- Support modernization initiatives involving legacy data platforms, data warehouses, and integration technologies.
- Implement modern engineering practices including source control, automated testing, deployment automation, and CI/CD processes.
- Troubleshoot and resolve complex technical issues across data platforms and integration environments.
- Contribute to architecture reviews, solution design discussions, and continuous improvement initiatives.
- Stay current with evolving technologies, industry trends, and emerging approaches within data engineering, analytics, and AI.
Requirements
- 6+ years of experience in Data Engineering, Data Integration, Analytics Engineering, Software Engineering, or a related technical discipline.
- Strong experience designing, building, and supporting production-grade ETL/ELT pipelines and data integration solutions.
- Advanced SQL skills, including query optimization, performance tuning, and data modeling.
- Experience developing data solutions using Python, Scala, Java, or similar programming languages.
- Experience working with cloud-based data platforms, data warehouses, lakehouses, and modern analytics environments.
- Experience with distributed data processing technologies such as Spark or equivalent frameworks.
- Hands-on experience with one or more modern data platforms such as Microsoft Fabric, Databricks, Snowflake, BigQuery, Redshift, or similar technologies.
- Familiarity with Git-based development workflows and CI/CD practices.
- Understanding of data quality, governance, lineage, security, and observability concepts.
- Ability to communicate effectively with both technical and non-technical stakeholders.
- Strong analytical, troubleshooting, and problem-solving skills.
- Ability to adapt to changing priorities, learn new technologies quickly, and succeed in fast-paced environments.
Skills
- Microsoft Fabric
- Databricks
- Snowflake
- BigQuery
- Redshift
- Spark
- Python
- Scala
- Java
- SQL
- Git
- CI/CD
Location
- Montreal, QC, Canada
- Toronto, ON, Canada
Work Type
- Hybrid
Experience Level
- 6+ years of experience
Salary/Compensations
- $120,000 to $140,000 CAD
About the Company
- Insight is not just a tech company; we are a people-first company. We believe that by unlocking the power of people and technology, we can accelerate transformation and achieve extraordinary results. As a Fortune 500 Solutions Integrator with deep expertise in cloud, data, AI, cybersecurity, and intelligent edge, we guide organizations through complex digital decisions.
- 14,000+ engaged teammates globally
- $8.2 billion in revenue in 2025
- Certified as a Great Place to work in 9 Countries in 2025
- Fortune 500 Company (No. 447) in 2025
- Received 25+ industry and partner awards in the past year
- $1.4M+ total charitable contributions in 2024 by Insight globally
- Be AmbITious: This opportunity is not just about what you do today but also about where you can go tomorrow. When you bring your hunger, heart, and harmony to Insight, your potential will be met with continuous opportunities to upskill, earn promotions, and elevate your career.
- Our core values of Hunger, Heart, and Harmony guide everything we do, from building relationships with teammates, partners, and clients to making a positive impact in our communities.
Equal Opportunity
- Insight is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation, or any other characteristic protected by law.
- When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process.
- At Insight, we celebrate diversity of skills and experience, so even if you don’t feel like your skills are a perfect match, we still want to hear from you.