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Data Engineer Project Jobs in Quebec (NOW HIRING)

... real projects that shape how we operate. You'll gain hands-on experience, grow your skills, and ... Document data engineering processes, data models, and technical specifications to support platform ...

Senior Data Developer Who We Are 2K is headquartered in Novato, California and is a wholly owned ... You will centralize fragmented studio data, including project roadmaps, telemetry, feature backlogs ...

Join us as Bogie Project Engineer Manager, and you'll be looking at a career-defining role based in ... Ensures the provision, in due time, of the whole input data and of all the data that can have an ...

Join us as Bogie Project Engineer Manager, and you'll be looking at a career-defining role based in ... Ensures the provision, in due time, of the whole input data and of all the data that can have an ...

They develop and maintain data pipelines that meet the requirements of predictive models and design ... Contribute to a variety of projects involving the implementation of innovative systems, solutions ...

We are seeking a visionary and highly technical Senior ML Data Platform Developer to architect ... Our technical environment is not fixed and will evolve as our projects scale. We expect someone ...

We sit at the intersection of consulting, data science, AI technologies, data engineering, and ... substantial personal projects). * Specialization in at least one major AI platform ecosystem ...

Data Science, Data Engineering, Data Architecture, and Data Analytics . You are simultaneously the ... Oversee High-Stakes Project Delivery: Serve as the escalation point and strategic director for ...

Senior Mechanical Engineer

Montreal, QC · On-site

$115K - $145K/hr

... project life cycle Analyzing data, preparing reports, and delivering presentations regarding proposed and ongoing projects to KOA staff and clients About You BS in Mechanical Engineering with an ...

Joining us means contributing to projects and initiatives that makes a real difference to millions ... HOW YOU'LL MAKE A POSITIVE IMPACT As part of the Data Science Development team, you will contribute ...

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Data Engineer Project information

What is a data engineer project?

A Data Engineer Project refers to a specific initiative or assignment undertaken by data engineers to design, build, and maintain systems that gather, process, and store large volumes of data. These projects often involve creating data pipelines, integrating multiple data sources, ensuring data quality, and optimizing storage solutions for analytics or business intelligence. Such projects are critical for organizations to manage their data efficiently and enable data-driven decision-making. Data Engineer Projects can range from building a data warehouse to implementing real-time data streaming solutions.

What are some common challenges faced by data engineers working on project-based teams?

Data Engineers on project-based teams often encounter challenges such as integrating data from disparate sources, ensuring data quality and consistency, and meeting tight project deadlines. Collaboration with data scientists, analysts, and software engineers is crucial, requiring clear communication to translate business needs into robust data pipelines. Additionally, adapting to evolving technologies and toolsets is essential for the successful delivery of scalable and maintainable solutions.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need strong proficiency in programming (Python, Java, or Scala), data modeling, and database management, often supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), ETL systems, cloud platforms (AWS, Azure, GCP), and relevant certifications is highly beneficial. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with data teams and stakeholders. These competencies are essential for building reliable data pipelines and ensuring data availability and quality to drive business insights.

What is the difference between Data Engineer Project vs Data Engineer?

AspectData Engineer ProjectData Engineer
CredentialsTypically requires a degree in Computer Science, Data Science, or related fields; certifications like AWS, Google Cloud, or Azure are commonSimilar credentials; often holds certifications in cloud platforms and data tools
Work EnvironmentProject-based, often temporary teams working on specific data solutionsFull-time role within organizations, maintaining ongoing data pipelines and infrastructure
Industry UsageUsed across industries for specific data initiativesCore role in data-driven companies and departments
Search & Comparison IntentOften searched for project-based roles or freelance opportunitiesMore common in job searches for permanent positions

In summary, Data Engineer Projects focus on temporary, goal-specific data tasks, while Data Engineers hold ongoing roles responsible for maintaining data infrastructure. Both roles require similar skills and certifications but differ mainly in scope and employment type.

Are data engineers still in high demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. Skills in cloud platforms, data pipeline development, and tools like SQL, Python, and Apache Spark enhance job prospects in this field.

Is a data engineer paid well?

Data engineers are generally well-compensated due to their specialized skills in managing large datasets, working with tools like SQL, Python, and cloud platforms. Salaries vary by experience, location, and industry, but they tend to be higher than average for tech roles, reflecting the demand for data infrastructure expertise.

What are popular job titles related to Data Engineer Project jobs in Quebec?

For Data Engineer Project jobs in Quebec, the most frequently searched job titles are:

What job categories do people searching Data Engineer Project jobs in Quebec look for?

The top searched job categories for Data Engineer Project jobs in Quebec are:

What cities in Quebec are hiring for Data Engineer Project jobs?

Cities in Quebec with the most Data Engineer Project job openings:

Infographic showing various Data Engineer Project job openings in Quebec as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Engineer-Consulting/ Ingenieur de donnees

Montreal, QC • On-site, Remote

Full-time

Retirement

Re-posted 26 days ago


Job description

About KPI:


At KPI,you'llhave 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. Andwe'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, unrivaledexpertise,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 skilledConsultant - Data Engineerto 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.


    A propos de KPI

    Chez KPI, vous aurez la possibilite de construire une carriere aussi unique que vous, avec le soutien, la culture inclusive et la technologie qui vous permettront de devenir la meilleure version de vous-meme. Et nous comptons sur votre voix et votre point de vue uniques pour aider KPI a devenir encore meilleur.

    Chez KPI, notre vision est de faire progresser le monde grace au pouvoir des gens et de la technologie.


    Fondee il y a plus de 25 ans au Quebec,KPI occupe une position unique en tant que chef de file canadien dans l'ecosysteme des donnees, de l'analytique et de l'IA. Chaque jour, notre equipe apporte ses connaissances de l'industrie, son expertise inegalee et l'etendue de ses services pour faire ce qui compte pour nos clients et leurs clients.

    Joignez-vous a une equipe qui baigne dans un environnement de haute technologie et tres dynamique ou les projets et les journees de travail ne sont jamais les memes.


    Vous souhaitez rejoindre une equipe gagnante?

    Nous recherchons un consultant-ingenieur de donnees competent pour rejoindre notre equipe dynamique. Nous recherchons des personnes enthousiastes et innovantes pour participer a notre aventure passionnante visant a revolutionner l'ecosysteme de nos clients grace a une transformation numerique complete dans le cloud.
    Notre talentueuse equipe Data et IA est composee d'experts reconnus au Canada, et nous recherchons d'autres professionnels des donnees analytiques et ambitieux. Si vous etes passionne par l'idee d'aider les clients a prendre de meilleures decisions fondees sur les donnees afin de resoudre leurs problemes commerciaux les plus complexes, discutons-en. Faites passer vos competences a un niveau superieur et lancez-vous dans une carriere ou vous pourrez vraiment faire ce qui compte.
    Il s'agit d'un domaine en pleine croissance et tres visible, qui offre de nombreuses possibilites d'ameliorer vos competences et de faire progresser votre carriere.



    Vos responsabilites:

    Nous recherchons un ingenieur de donnees ayant au moins cinq ans d'experience dans les domaines de l'ingenierie, de l'architecture et de la gestion des donnees. A ce poste, vous serez charge de concevoir et de mettre en uvre des projets integrant des donnees provenant de plusieurs sources afin de faciliter l'analyse et la prise de decision. Vous veillerez a ce que les donnees soient accessibles, fiables et faciles a utiliser, tant pour les besoins courants que ponctuels, et vous collaborerez etroitement avec les scientifiques des donnees et les ingenieurs en intelligence artificielle afin de soutenir le developpement de solutions logicielles.


    Competences et attributs pour reussir:

    • Maitrise approfondie de Python et des systemes de gestion de bases de donnees (T-SQL, SQL, NoSQL), y compris l'optimisation des requetes.
    • Solides competences fondamentales en genie logiciel ; connaissance de DevOps, UNIX, Git, Docker et des principes orientes objet.
    • Experience avec des outils et des frameworks de traitement de donnees tels que Apache Spark, Apache Flink, Snowflake, dbt, Airflow, Dagster et Databricks.
    • Comprehension des modeles de stockage, de collecte et d'agregation des donnees, et de leur application aux problemes commerciaux.
    • Connaissance de l'indexation des bases de donnees, en particulier des tables en colonnes clusterisees.
      Grande capacite a traiter, analyser et interpreter les donnees.
    • Comprehension de la securite des donnees au repos et en transit.
    • Capacite a fournir et a adapter les performances, en anticipant de maniere proactive les ameliorations du systeme.
    • Experience des pratiques d'integrite des donnees, y compris la manipulation des donnees, la gestion des erreurs et la modelisation.
    • Experience du deploiement de solutions basees sur Docker dans des environnements cloud.

    Le candidat ideal est :


    • Oriente vers les objectifs, dote de solides competences en matiere de prise de decision et de resolution de problemes.
    • Communique clairement les plans, les modeles et les approches afin d'eviter les goulots d'etranglement.
    • Capable de communiquer efficacement en francais et en anglais, de maniere technique lorsque cela est necessaire et dans un langage commercial convivial lorsqu'il s'adresse a un public non technique.
    • Excellentes competences en communication ecrite et orale pour la coordination entre les equipes.


    Pour etre qualifie pour ce poste, vous devez avoir :


    • Licence ou master en informatique, technologies de l'information, ingenierie ou dans une discipline connexe.
    • Au moins cinq ans d'experience dans l'ingenierie des donnees ou dans un domaine connexe.
    • Capacite averee a optimiser et a depanner les processus d'ingenierie des donnees.
    • Solides competences interpersonnelles, capacite a etablir un consensus et a gerer les relations.
    • Esprit tres collaboratif, dote de solides competences en matiere de conseil et capable de travailler de maniere autonome sur des problemes complexes.
    • Motive, a l'aise dans les situations ambigues et capable d'exercer une influence sans autorite directe dans un environnement matriciel de grande envergure.
    • Une experience avec Power BI est un atout
    • Connaissance des methodologies de developpement telles que Waterfall, Agile, XP ou Scrum
    • Experience de travail dans un environnement en evolution rapide, utilisant un modele hybride bureau/teletravail
    • Capacite a travailler avec les parties prenantes clientes pour identifier les opportunites
    • Capacite a coordonner les equipes fonctionnelles pour mettre en uvre les actifs D&A avec un suivi approprie
    • Engagement a se tenir au courant des services et des tendances modernes en matiere de plateformes de donnees et d'analyse


    Avantages


    • L'opportunite de rejoindre et de developper un reseau professionnel en constante expansion, compose de clients de premier plan et de collegues reputes.
    • Emploi permanent a temps plein (40 heures par semaine).
    • Horaires hybrides (travail a domicile et/ou au bureau) et flexibles.
    • Salaire competitif et structure de primes.
    • Regime d'assurance collective avantageux.
    • Plan d'epargne retraite avec abondement.
    • Culture d'entreprise familiale.
    • Flex-Vendredi pendant l'ete.
    • Utilisation gratuite de la salle de sport dans l'immeuble.
    • Service de restauration subventionne et collations gratuites au bureau.
    • Jours de vacances et 6 jours personnels par an.
    • Environnement de travail decontracte : les jeans sont les bienvenus !


    Fier d'etre un endroit ou il fait bon travailler !

    En apportant votre experience et vos competences a KPI Digital, vous beneficierez en retour d'une experience unique, d'une croissance ambitieuse et d'un apprentissage illimite.En continuant a developper notre culture diversifiee et inclusive, nous devenons encore plus innovants et creatifs, ce qui nous aide a mieux servir nos clients et nos communautes.

    Vous rejoindrez une communaute de collaborateurs intelligents et solidaires qui vous encadreront et vous guideront, mais qui s'appuieront egalement sur votre expertise. Vous travaillerez dans une entreprise specialisee dans les solutions technologiques de pointe, essentielles pour les entreprises, et qui s'engage a ameliorer la facon dont les etres humains travaillent, interagissent et vivent.