Data Engineer-Consulting/ Ingénieur de données
KPI Digital•Dorval, Montréal
Full-time3-7
👁️ 0 views•📝 0 applications•Posted 8/14/2026•Expires 9/13/2026
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Job Description
About KPI:
At KPI, you’ll have the chance to build a career as unique as you are, with the support, inclusive culture, and technology to become the best version of you. And we’re counting on your unique voice and perspective to help KPI become even better, too.At KPI, our vision is to advance the world through the power of people and technology.
Established over 25 years ago in Quebec, KPI is uniquely positioned as a Canadian leader across the Data, Analytics & AI ecosystem. Every day our team brings industry insights, unrivaled expertise, and breadth of services to do what matters for our clients and their customers.
Join a team that is immersed in a high-tech and very dynamic environment where projects and workdays are never the same.
Want to join a winning team?
We’re looking for a skilled Consultant – Data Engineer to join our dynamic group. If you’re enthusiastic, innovative, and excited about helping transform our clients’ ecosystems through end-to-end cloud-based digital evolution, we want to hear from you.
Our Data and AI Practice brings together some of Canada’s leading experts—and we’re eager to welcome more analytical, ambitious data professionals. If you’re passionate about helping clients make smarter, data-driven decisions to solve complex challenges, let’s talk. This is your chance to elevate your skills and build a career where your work genuinely matters.
This is a fast-growing, high-visibility field with plenty of opportunities to sharpen your expertise and advance your career.
Your Responsibilities:
We’re seeking a Data Engineer with at least five years of experience across data engineering, data architecture, and data management. In this role, you’ll design and implement projects that integrate data from multiple sources to support analysis and decision-making. You’ll ensure data is accessible, reliable, and easy to work with for both routine and ad-hoc needs, and you’ll collaborate closely with data scientists and AI engineers to support software solution development.
Skills and Attributes for Success
• Strong proficiency in Python and database management systems (T-SQL, SQL, NoSQL), including query optimization
• Solid foundational software engineering skills; familiarity with DevOps, UNIX, Git, Docker, and object-oriented principles
• Experience with data processing tools and frameworks such as Apache Spark, Apache Flink, Snowflake, dbt, Airflow, Dagster, and Databricks
• Understanding of data storage, collection, and aggregation models—and how to apply them to business problems
• Knowledge of database indexing, especially clustered columnstore tables
• Strong ability to handle, analyze, and interpret data
• Understanding of data security both at rest and in transit
• Ability to deliver and scale performance, anticipating system enhancements proactively
• Experience with data integrity practices, including data manipulation, error handling, and modeling
• Experience deploying Docker-based solutions in cloud environments
The Ideal candidate is:
• Goal-oriented with strong decision-making and problem-solving skills
• Communicates plans, templates, and approaches clearly to avoid becoming a bottleneck
• Able to communicate effectively in both French and English—technical when needed, and business-friendly when addressing non-technical audiences
• Excellent written and verbal communication skills for cross-team coordination
To qualify for the role, you must have:
• Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related discipline
• Minimum of five years of experience in data engineering or a related field
• Demonstrated ability to optimize and troubleshoot data engineering processes
• Strong interpersonal skills, with the ability to build consensus and manage relationships
• Highly collaborative, with strong consulting capabilities and the ability to work independently on complex problems
• Self-motivated, comfortable navigating ambiguity, and able to influence without direct authority within a large matrixed environment
• Experience with Power BI is an asset
• Familiarity with development methodologies such as waterfall, agile, XP, or scrum
• Experience working in a fast-paced, evolving environment using a hybrid in-office/remote model
• Ability to work with customer stakeholders to identify opportunities
• Ability to coordinate across functional teams to implement D&A assets with proper monitoring
• Commitment to staying current with modern data and analytics platform services and trends
What We Look For:
• Experience in engaging with both technical and non-technical stakeholders.
• Strong consulting experience and background, including engaging directly with clients.
• Team management on Advanced Analytics, Business Intelligence, Data Warehousing, Big Data projects.
We’re interested in passionate talents with strong vision and a desire to stay on top of trends in the Data and Analytics industry. If you have a genuine passion for helping businesses achieve the full potential of their data, this role is for you.
Benefits
• The opportunity to join and grow an ever-expanding professional network of high-profile clients and reputable colleagues.
• Permanent, full-time job (40 hours a week).
• Hybrid (work from home and/or office) and flexible schedule.
• Competitive salary and bonus structure.
• Attractive group insurance plan.
• Retirement savings plan with matching.
• Family company culture.
• Flex-Fridays in the summertime.
• Free use of the gym within building.
• Subsidized catering service & free snacks at the office.
• Vacation days plus 6 personal days per year.
• Casual work environment: jeans-friendly!
Proudly a Great Place to Work!
As you bring your experience and skills to KPI Digital, you’ll get a unique experience, ambitious growth, and limitless learning in return.As we continue to build our diverse and inclusive culture, we become even more innovative and creative, helping us better serve our clients and our communities.
You’ll join a community of smart, supportive collaborators to mentor and guide you, but to also lean on your expertise. You get a company purpose-built for business-critical, leading-edge technology solutions, committed to improving the way humans work, interact, and live.
À propos de KPI
Chez KPI, vous aurez la possibilité de construire une carrière aussi unique que vous, avec le soutien, la culture inclusive et la technologie qui vous permettront de devenir la meilleure version de vous-même. Et nous comptons sur votre voix et votre point de vue uniques pour aider KPI à devenir encore meilleur.
Chez KPI, notre vision est de faire progresser le monde grâce au pouvoir des gens et de la technologie.
Fondée il y a plus de 25 ans au Québec, KPI occupe une position unique en tant que chef de file canadien dans l'écosystème des données, de l'analytique et de l'IA. Chaque jour, notre équipe apporte ses connaissances de l'industrie, son expertise inégalée et l'étendue de ses services pour faire ce qui compte pour nos clients et leurs clients.
Joignez-vous à une équipe qui baigne dans un environnement de haute technologie et très dynamique où les projets et les journées de travail ne sont jamais les mêmes.
Vous souhaitez rejoindre une équipe gagnante?
Nous recherchons un consultant-ingénieur de données compétent pour rejoindre notre équipe dynamique. Nous recherchons des personnes enthousiastes et innovantes pour participer à notre aventure passionnante visant à révolutionner l'écosystème de nos clients grâce à une transformation numérique complète dans le cloud.
Notre talentueuse équipe Data et IA est composée d'experts reconnus au Canada, et nous recherchons d'autres professionnels des données analytiques et ambitieux. Si vous êtes passionné par l'idée d'aider les clients à prendre de meilleures décisions fondées sur les données afin de résoudre leurs problèmes commerciaux les plus comple
Required Skills
PythonT-SQLSQLNoSQLUNIXGitDockerApache SparkApache FlinkSnowflakedbtAirflowDagsterDatabricksDevOpsData EngineeringData ArchitectureData Management
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