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Dbt Data Engineer Jobs in Quebec (NOW HIRING)

Valsoft Corporation

Senior Data Engineer

Montreal, QC · On-site

The Role As a Senior Data Engineer, you will be responsible for designing, building, and ... Strong knowledge of Snowflake, DBT, Airflow * Strong knowledge and kills in AI development with top ...

Valsoft Corporation

Senior Data Engineer

Montreal, QC · On-site

The Role As a Senior Data Engineer, you will be responsible for designing, building, and ... Strong knowledge of Snowflake, DBT, Airflow * Strong knowledge and kills in AI development with top ...

Global Excel Management

Data Developer II

Sherbrooke, QC · On-site

CA$35.06 - CA$46/hr

As a Data Developer II, you will be responsible for designing, implementing, and maintaining GEM ... Architect data solutions leveraging DBT for data transformation and Azure Data Factory for pipeline ...

Global Excel Management

Data Developer II

Sherbrooke, QC

CA$35.06 - CA$46/hr

As a Data Developer II, you will be responsible for designing, implementing, and maintaining GEM ... Architect data solutions leveraging DBT for data transformation and Azure Data Factory for pipeline ...

BEEM

Ingenieur(e) Data & Analytique

Montreal, QC · On-site

Experience avec dbt ou un outil equivalent de transformation de donnees * Confort avec AWS (ou ... This role is posted as Analytics Engineer, with the internal title of Data Specialist. This is a ...

AlayaCare

Staff Data Developer

Montreal, QC · On-site

About the Role We are seeking a Staff Data Developer to join our Data & Intelligence division ... Strong skills in DBT, SQL, Python, Snowflake, Iceberg, Spark, and AWS (ECS, S3, Aurora, RDS)

BEEM

Ingnieur(e) Data & Analytique

Montreal, QC · On-site

Ce rle est affich sous le titre Analytics Engineer, avec le titre interne Data Specialist. Il ... Exprience avec dbt ou un outil quivalent de transformation de donnes * Confort avec AWS (ou Azure ...

Xsolla

Lead AI/ML Engineer

Montreal, QC · On-site

CA$130K - CA$160K/yr

Implement CI/CD for data pipelines using Git, dbt, and automated testing * Define data quality ... Mentor and guide junior AI/ML engineers on data modeling and algorithm performance tuning * Partner ...

TailorCare

Data Platform Architect

Montreal, QC · Hybrid

Translate architecture into staffed delivery with each engineering team; collaborate with clinical ... BigQuery), dbt-style orchestration, modern observability * Solid grounding in ML/AI systems ...

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All JobsDbt Data Engineer JobsDbt Data Engineer Jobs in Quebec

Dbt Data Engineer information

Is dbt in demand?

Yes, dbt Data Engineers are in demand as organizations increasingly adopt modern data transformation tools to improve data workflows. Skills in SQL, data modeling, and familiarity with cloud platforms enhance job prospects in this field.

What engineer makes $500,000 a year?

Highly experienced data engineers, including those working with advanced big data tools like Apache Spark and cloud platforms, can earn salaries approaching or exceeding $500,000 annually, especially in senior or specialized roles at large tech companies. Achieving this level typically requires extensive expertise, certifications, and a strong track record in data architecture and engineering.

What are the key skills and qualifications needed to thrive as a Dbt Data Engineer, and why are they important?

To thrive as a Dbt Data Engineer, you need strong SQL skills, experience in data modeling, and a solid understanding of ELT/ETL pipelines, often supported by a degree in computer science or a related field. Familiarity with dbt (data build tool), version control systems like Git, and cloud data platforms such as Snowflake or BigQuery is typically required. Attention to detail, problem-solving abilities, and effective collaboration are essential soft skills for this role. These skills ensure robust, scalable, and maintainable data transformations that drive reliable analytics and business insights.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing need for managing large-scale data pipelines, cloud platforms, and data integration tools. Skills in SQL, Python, and cloud services like AWS or Azure enhance job prospects in this field.

How does a Dbt Data Engineer typically collaborate with data analysts and other stakeholders?

As a Dbt Data Engineer, you'll work closely with data analysts, business intelligence teams, and sometimes product managers to translate business requirements into reliable, well-structured data models. Collaboration often involves reviewing transformation logic, ensuring data quality, and providing documentation or training on Dbt models. You may also participate in regular stand-ups or data modeling sessions to align on priorities and address data challenges collaboratively. Effective communication skills are key, as you'll bridge the gap between raw data and actionable insights.

What are Dbt Data Engineers?

Dbt Data Engineers are professionals who specialize in using dbt (data build tool) to transform, test, and document data within modern data warehouses. They build and maintain data pipelines by writing SQL-based transformation scripts and ensuring data quality through automated testing. Dbt Data Engineers collaborate closely with analytics teams to create reliable, well-documented datasets that support business intelligence and analytics initiatives.

Do data engineers use dbt?

Data engineers often use dbt (data build tool) to transform and model data within data warehouses. It is a popular tool for managing data pipelines, enabling version control, testing, and documentation, which are key responsibilities of data engineers.

What is the difference between Dbt Data Engineer vs Data Analyst?

AspectDbt Data EngineerData Analyst
Primary FocusBuilding and maintaining data transformation pipelines using dbtAnalyzing data to generate reports and insights
Skills & ToolsSQL, dbt, ETL pipelines, cloud platformsSQL, Excel, BI tools, data visualization
Work EnvironmentData engineering teams, cloud data platformsBusiness units, reporting teams
CertificationsSQL, cloud certifications, dbt trainingData analysis, visualization certifications

While both roles work with data and SQL, Dbt Data Engineers focus on developing scalable data transformation pipelines using dbt, whereas Data Analysts primarily analyze data to produce reports and insights. The roles complement each other within data teams but differ in technical scope and responsibilities.

What are popular job titles related to Dbt Data Engineer jobs in Quebec? For Dbt Data Engineer jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Dbt Data Engineer jobs in Quebec look for? The top searched job categories for Dbt Data Engineer jobs in Quebec are:
What cities in Quebec are hiring for Dbt Data Engineer jobs? Cities in Quebec with the most Dbt Data Engineer job openings:
Dbt Data Engineer jobs near you
Infographic showing various Dbt Data Engineer job openings in Quebec as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution.

Senior Data Engineer

Valsoft Corporation

Montreal, QC

Other

Posted 17 days ago

Job description

About Valpay 

At Valpay, we're building the next generation of embedded payments. We help SaaS companies transform payments from a utility into a new line of revenue. Our PayFac-as-a-Service model delivers all the benefits of integrated payments while we handle the complexity. 

We've helped more than 3,000 merchants across 12 verticals in North America, Europe, and Australia. Our Growth Pods operate like mini-business units-each responsible for acquiring software partners, activating their merchants, and delivering sustained revenue growth. 
 

The Role 

As a Senior Data Engineer, you will be responsible for designing, building, and maintaining scalable data infrastructure that supports analytics, reporting, product development, and operational decision-making. You will work closely with Engineering, Product, Finance, Operations, and Growth teams to ensure reliable, accessible, and high-quality data across the organization. 

This role is ideal for someone who thrives in a fast-paced environment, enjoys solving complex data challenges, and wants to have a direct impact on the growth of a rapidly scaling fintech company. 
 

What You'll Do 

  • Design, develop, and maintain scalable data pipelines and ETL/ELT processes. 
  • Build and optimize data models, warehouses, and data lakes to support business and product analytics. 
  • Partner with cross-functional stakeholders to understand data needs and deliver actionable solutions. 
  • Ensure data quality, integrity, governance, and observability across all systems. 
  • Improve the performance, reliability, and scalability of our data platform. 
  • Support real-time and batch data processing requirements. 
  • Develop and maintain documentation, standards, and best practices for data engineering. 
  • Collaborate with software engineers to integrate data solutions into customer-facing products and internal systems. 

What We're Looking For 

  • 5-8 years of experience in Data Engineering, Analytics Engineering, or a related field. 
  • Strong academic background in Computer Science, Engineering, Mathematics, Statistics, or a related quantitative discipline. 
  • Experience designing and maintaining modern data architectures and large-scale data pipelines. 
  • Advanced SQL skills and strong proficiency in Python or another relevant programming language. 
  • Experience with cloud data platforms and modern data stack technologies. 
  • Strong understanding of data modeling, warehousing concepts, and distributed data systems. 
  • Proven ability to work cross-functionally and communicate technical concepts to non-technical stakeholders. 
  • Experience in payments, fintech, financial services, or transaction-heavy environments is strongly preferred. 
  • High attention to detail and a commitment to data quality and reliability. 
  • Strong knowledge of Snowflake, DBT, Airflow 
  • Strong knowledge and kills in AI development with top LLMs 

Nice to Have 

  • Experience working within embedded payments, PayFac, merchant acquiring, or payment processing environments. 
  • Experience with real-time streaming technologies and event-driven architectures. 
  • Familiarity with data governance, compliance, and security requirements in regulated industries. 
  • Experience building customer-facing data products or analytics platforms. 

Why Join Valpay? 

  • Build foundational data systems at one of the fastest-growing embedded payments companies. 
  • Work alongside entrepreneurial teams with significant ownership and autonomy. 
  • Influence key business decisions through data. 
  • Join a high-growth environment where your impact is visible and measurable. 
  • Competitive compensation, benefits, and opportunities for career growth. 

Apply