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Senior Big Data Engineer Jobs in Quebec (NOW HIRING)

AppDirect

Senior Data Engineer

Montreal, QC · On-site

About You We're hiring a Senior Data Engineer for Data Insights in Montreal-someone with a Data as a Product mindset who builds production pipelines and models others can trust and reuse. You'll ...

Caeus

Data Engineering Specialist

Montreal, QC

We are looking for a Senior Data Platform Engineer with strong hands-on coding skills and solid ... Design, build, and maintain data pipelines using SQL and big data tools such as Spark, Kafka, or ...

Air Canada

Solution Architect Data and AI

Dorval, QC · On-site

Serve as a senior technical advisor to executives, product owners, and engineering leaders. * Lead ... Strong knowledge of big data processing (Spark, Hadoop), distributed systems, and modern data ...

Targeted Talent

Data Scientist

Montreal, QC · Remote

... in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse ... Strong experience with big data services like Spark, Kafka, Rabbit * Experience working with ...

Targeted Talent

Data Scientist

Quebec, QC · Remote

... in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse ... Strong experience with big data services like Spark, Kafka, Rabbit * Experience working with ...

Targeted Talent

Data Scientist

Montreal, QC · Remote

... in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse ... Strong experience with big data services like Spark, Kafka, Rabbit * Experience working with ...

Targeted Talent

Data Scientist

Quebec, QC · Remote

... in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse ... Strong experience with big data services like Spark, Kafka, Rabbit * Experience working with ...

Td

Sr. Full Stack Data Science Engineer

Montreal, QC · On-site

CA$154K - CA$199K/yr

Demonstrated comfort engaging with senior executives and Csuite stakeholders, influencing decisions ... Cloud & Big Data Platforms : Azure (ADF, Synapse, Databricks), Snowflake * Data Engineering : ETL ...

2K

Senior Data Developer

Montreal, QC

Senior Data Developer Who We Are 2K is headquartered in Novato, California and is a wholly owned label of Take-Two Interactive Software, Inc. (NASDAQ: TTWO). Founded in 2005, 2K Games is a global ...

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All JobsBig Data Engineer JobsSenior Big Data Engineer JobsSenior Big Data Engineer Jobs in Quebec

Senior Big Data Engineer information

See Quebec salary details

$46K

$139.6K

$194.5K

How much do senior big data engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for senior big data engineer in Quebec is $139,627.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,000.00 and $159,500.00 per year, depending on experience, location, and employer.

What is a senior big data engineer?

Senior Big Data Engineers are advanced-level professionals who design, build, and maintain large-scale data processing systems. They work with technologies such as Hadoop, Spark, and NoSQL databases to handle massive amounts of data efficiently. Their responsibilities often include optimizing data pipelines, ensuring data quality, and collaborating with data scientists and analysts to support business needs. Senior Big Data Engineers also mentor junior team members and help drive architectural decisions related to data infrastructure.

What skills and qualifications are needed to be a senior big data engineer?

To thrive as a Senior Big Data Engineer, you need advanced expertise in data architecture, distributed computing, and programming languages such as Java, Scala, or Python, typically backed by a degree in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, Kafka, and cloud platforms, as well as relevant certifications (e.g., Cloudera, AWS), is highly valuable. Strong problem-solving, communication, and leadership skills set outstanding candidates apart, especially when collaborating with cross-functional teams. These competencies are critical for designing scalable data solutions, ensuring data quality, and driving impactful business insights.

How does a senior big data engineer collaborate with data scientists and business stakeholders?

As a Senior Big Data Engineer, you'll frequently work alongside data scientists to design and maintain data pipelines that ensure reliable and accessible data for modeling and analytics. Collaboration with business stakeholders is also essential, as you'll help translate business requirements into technical data solutions, ensuring that data architecture supports organizational goals. Regular meetings, code reviews, and cross-team project planning are common, making strong communication and a collaborative mindset vital for success in this role.

What is the difference between Senior Big Data Engineer vs Data Architect?

AspectSenior Big Data EngineerData Architect
CredentialsBachelor's/Master's in CS, Data Science, or related; experience with Hadoop, SparkBachelor's/Master's in CS, Data Science, or related; certifications like TOGAF, cloud architecture
Work EnvironmentDevelops, implements, and maintains data pipelines and systemsDesigns overall data infrastructure and architecture strategy
Employer & Industry UsageTech companies, finance, healthcare, retailLarge enterprises, consulting firms, cloud providers
Search & Comparison IntentUnderstanding technical roles, skills, and responsibilitiesFocus on data system design and strategic planning

While both roles work with data systems, a Senior Big Data Engineer primarily develops and maintains data pipelines and systems, whereas a Data Architect designs the overarching data infrastructure and strategy. The roles often collaborate but differ in scope and focus within data management.

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

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

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

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

What cities in Quebec are hiring for Senior Big Data Engineer jobs?

Cities in Quebec with the most Senior Big Data Engineer job openings:

Senior Big Data Engineer jobs near you
Infographic showing various Senior Big Data Engineer job openings in Quebec as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 19% Part Time, and 12% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $139,627 per year, or $67.1 per hour.

Senior Data Engineer

AppDirect

Montreal, QC • On-site

Full-time

Re-posted 5 days ago

Job description

Pour la version francaise de cette description de poste, veuillez consulter le lien suivant / For the French version of this job description, please refer to the following link:

  • Ingenieur(e) de donnees senior

About AppDirect

Become a digital, global citizen and enable the new generation of digital entrepreneurs around the world.  AppDirect offers a subscription commerce platform to sell any product, through any channel, on any device - as a service.  We power millions of subscriptions worldwide for organizations.  We do this by our values-driven culture-one that enables you to Be Seen, Be Yourself, and Do Your Best Work.

About the Data Insights Team

Our mission is to unify data from every business unit into a governed lakehouse and semantic layer, powering analytics, AI, reports, data sharing, and both internal and customer-facing dashboards.

About You

We're hiring a Senior Data Engineer for Data Insights in Montreal-someone with a Data as a Product mindset who builds production pipelines and models others can trust and reuse.

You'll build production data products and lakehouse pipelines that power analytics and both internal and customer-facing dashboards-partnering across engineering and product, establishing clear data contracts, and leaving patterns others can reuse.

What You'll Do and How You'll Make an Impact

  • Platform Architecture & Modeling: Design, build, and evolve the lakehouse data platform-reusable models and pipelines on Snowflake + dbt, with Databricks workloads where they fit-so analytics and product teams get reliable, governed data products.
  • Requirements & Stakeholder Partnership: Translate product and business requirements into data models and pipelines-working with PMs, BUs, and engineers so domain logic lands correctly in production.
  • Pipeline Modernization: Migrate legacy ETL processes to modern, efficient streaming and incremental pipelines, choosing Snowflake or Databricks based on fit.
  • Snowflake Performance & Cost: Operate and tune Snowflake for reliability and efficiency-warehouse sizing and utilization, clustering/partitioning where it pays off, and visibility into credit spend so scale doesn't mean runaway cost.
  • AI-Assisted Operations: Apply AI-assisted development tools and spec-driven workflows to design, automate, and ship data pipelines and platform.
  • Self-Service Enablement: Facilitate scoped data onboarding and empower business unit engineers to build their own data products on top of our platform.
  • Customer-Facing Data Products: Build and evolve data behind customer-facing products-including the reporting service and App Insights-so pipelines and models deliver trustworthy product experiences.
  • Data Quality & Trust: Ensure data quality by driving and implementing robust data governance, automated testing, validation techniques, and lineage.
  • Metadata Management: Curate rich metadata in Unity Catalog and Snowflake to power downstream consumption, including AI agents and our semantic layer (Cube.dev).
  • Research & Innovation: Research solutions to complex problems and lead proof-of-concepts to evaluate emerging technologies.
  • Documentation & Culture: Author and maintain high-quality documentation to support knowledge sharing and AI-assisted workflows.

What we're looking for

  • AI-Assisted Development: Strong understanding of AI-assisted development workflows, with proven hands-on experience using tools such as Cursor, Claude, OpenCode, GitHub Copilot, or ChatGPT to improve efficiency, automation, and code quality.
  • Spec-Driven Development: Experience with spec-driven development: turning requirements into clear specs/plans and acceptance criteria, then implementing them (including AI-agent-assisted workflows).
  • Snowflake Expertise (core skillset): 2+ years building and operating production data pipelines and models on Snowflake using SQL, Python, and dbt-shipping reliable ELT/transformations, owning quality and performance in production.
  • dbt Mastery: 2+ years of hands-on experience building modular, version-controlled, and tested data models using dbt (data build tool), treating transformation as software engineering (Git workflows, code review, automated tests).
  • AWS: 2+ years of experience with AWS cloud services.
  • Data Governance: A solid understanding of data quality, lineage, validation techniques, and data governance.
  • Collaboration & Communication: Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders, gather requirements, and work effectively in a distributed team.

Preferred / Additional Strengths

  • Databricks: Hands-on Databricks experience (workspaces, jobs/workflows, Spark SQL/PySpark, Delta Lake) to contribute to lakehouse work alongside Snowflake.
  • Managed Ingestion (Fivetran): Exposure to Fivetran (or similar ELT connectors) for reliable source-to-warehouse ingestion, connector governance, and schema-evolution handling.
  • Semantic Layer (Cube.dev): Exposure to Cube.dev (or a similar semantic/metrics layer) for governed, self-serve analytics and consistent metrics across products and consumers.
  • Real-Time Streaming: Strong preferred experience building and maintaining real-time data solutions using streaming platforms like Apache Kafka.

At AppDirect, we believe that innovation thrives in an environment that houses diversity of excellence, experience and thought. We respect each AppDirector as their own fingerprint; unique with no one alike. We foster an environment of inclusion without regard to race, religion, age, sexual orientation, or gender identity enabling AppDirectors to embrace their uniqueness to do their best work. As such, we strongly encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities.

At AppDirect we take privacy very seriously. For more information about our use and handling of personal data from job applicants, please read our Candidate Privacy Policy. For more information of our general privacy practices, please see AppDirect Privacy Notice: 

https://www.appdirect.com/about/privacy-notice

At AppDirect, AI tools may assist our recruitment team with administrative automations - always under human oversight. AI tools do not make hiring decisions or solely automated decisions about your candidacy - all decisions are made by our people. By submitting your application, you acknowledge that your information may be processed in this way. You may request access or deletion at any time by contacting privacy@appdirect.com.

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