Data Engineer-Consulting/ Ingénieur de données - Montreal (administrative region) - KPI Digital Solutions

    KPI Digital Solutions
    KPI Digital Solutions Montreal (administrative region)

    4 days ago

    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. Our vision is to advance the world through the power of people and technology. Established over 25 years ago in Quebec, KPI is a Canadian leader across the Data, Analytics & AI ecosystem.

    Join a high‑tech, dynamic environment where projects and workdays are never the same. We're looking for a skilled Consultant – Data Engineer who is enthusiastic, innovative, and excited about helping transform our clients' ecosystems through end‑to‑end cloud‑based digital evolution.

    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 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

    • 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

    Qualifications

    • 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

    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

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