Data Engineer Sr.

Requisition Number: 106522

Data Engineer Sr

Location

• This role is hybrid, with the onsite locations in Montreal, QC, Canada or Toronto, ON, Canada.

Insight at a Glance

• 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

Now is the time to bring your expertise to Insight. We are 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.

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.

Key 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.

Required Qualifications

• 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.

Preferred Qualifications

• Experience implementing solutions using Microsoft Fabric in production environments.
• Experience with Databricks and modern lakehouse architectures.
• Experience with dbt or similar transformation frameworks.
• Experience modernizing enterprise data warehouses and legacy integration environments.
• Experience with Azure Data Services or equivalent cloud-native data technologies.
• Experience supporting machine learning, artificial intelligence, or advanced analytics initiatives.
• Familiarity with semantic modeling, analytics-ready data structures, and data product concepts.
• Experience implementing data governance, metadata management, or data lineage solutions.

What Success Looks Like

Successful candidates combine strong technical depth with curiosity, adaptability, and a passion for solving complex data challenges. They are comfortable working across diverse technologies and evolving requirements while delivering reliable, scalable solutions that create meaningful business value.

They continuously learn, embrace emerging technologies, and bring a practical, hands-on approach to building modern data platforms that support analytics, reporting, and AI-driven innovation.

Why This Role?

• Opportunity to work with modern cloud data technologies and platforms.
• Exposure to large-scale data modernization initiatives.
• Variety of technical challenges spanning integration, analytics, data architecture, and AI enablement.
• Collaborative environment that values innovation, continuous learning, and technical excellence.
• Ability to make a significant impact by helping organizations transform how they manage and leverage data.

Physical Demands

The physical demands described here are representative of those that must be met by a teammate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• While performing the duties of this job, the employee is regularly required to sit, talk, hear, and operate a computer, telephone, and keyboard.
• Specific vision abilities required by this job include close vision requirements due to computer work.
• Regular, predictable attendance is required, including quarter-driven hours as business demands dictate.

Work Environment

The work environment characteristics described here are representative of those a teammate encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• Moderate noise, such as a business office with computers, phones, printers, and light traffic.
• Ability to work in a confined area.
• Ability to sit at a computer terminal for an extended period of time.

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.

But what really sets us apart are our core values of Hunger, Heart, and Harmony, which guide everything we do, from building relationships with teammates, partners, and clients to making a positive impact in our communities.

Join us today, your ambITious journey starts here.