... engineering on the Azure stack: data ingestion into data lakes, dimensional modeling (dimensions and facts), and data exposure using Power BI. The recurring keywords (ETL, ingestion pipelines, Data ...
... engineering on the Azure stack: data ingestion into data lakes, dimensional modeling (dimensions and facts), and data exposure using Power BI. The recurring keywords (ETL, ingestion pipelines, Data ...
Data Science, Data Engineering, Data Architecture, and Data Analytics . You are simultaneously the architect of the data factory and the director ensuring it delivers high-value outputs to the ...
Data Science, Data Engineering, Data Architecture, and Data Analytics . You are simultaneously the architect of the data factory and the director ensuring it delivers high-value outputs to the ...
Promouvoir une culture de data engineering orientée performance et valeur métier Profil recherché Expérience * Minimum 5 ans d'expérience en data engineering * Minimum 2 ans sur Google Cloud ...
Promouvoir une culture de data engineering orientée performance et valeur métier Profil recherché Expérience * Minimum 5 ans d'expérience en data engineering * Minimum 2 ans sur Google Cloud ...
Data Scientist
Montreal, QC · Remote
Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...
Quick apply
Data Scientist
Montreal, QC · Remote
Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...
Data Scientist
Quebec, QC · Remote
Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...
Quick apply
Data Scientist
Quebec, QC · Remote
Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...
Data Scientist
Quebec, QC · Remote
Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...
Quick apply
Data Scientist
Quebec, QC · Remote
Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...
Data Scientist
Montreal, QC · Remote
Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...
Quick apply
Data Scientist
Montreal, QC · Remote
Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...
Bachelor's degree in Computer Science, Engineering, or related subject * 4+ years of professional ... Familiarity with data serialization formats such Apache Arrow/Parquet, Google Protocol Buffers ...
Quick apply
Bachelor's degree in Computer Science, Engineering, or related subject * 4+ years of professional ... Familiarity with data serialization formats such Apache Arrow/Parquet, Google Protocol Buffers ...
Data Developer II
CA$35.06 - CA$46/hr
This role will also involve driving the adoption of best practices in data engineering, promoting a data-centric culture, and providing mentorship within the development team. What does your typical ...
Data Developer II
CA$35.06 - CA$46/hr
This role will also involve driving the adoption of best practices in data engineering, promoting a data-centric culture, and providing mentorship within the development team. What does your typical ...
Data Developer II
CA$35.06 - CA$46/hr
This role will also involve driving the adoption of best practices in data engineering, promoting a data-centric culture, and providing mentorship within the development team. What does your typical ...
Data Developer II
CA$35.06 - CA$46/hr
This role will also involve driving the adoption of best practices in data engineering, promoting a data-centric culture, and providing mentorship within the development team. What does your typical ...
Oliver Wyman - Sr. Lead Data Scientist or Principal Data Scientist
Quebec, QC · On-site
$212.83 - $276.67/hr
As Lead Data Scientist you will primarily manage technical projects, including data engineering, model selection/design, and infrastructure deployment in both internal and client environments. You ...
Oliver Wyman - Sr. Lead Data Scientist or Principal Data Scientist
Quebec, QC · On-site
$212.83 - $276.67/hr
As Lead Data Scientist you will primarily manage technical projects, including data engineering, model selection/design, and infrastructure deployment in both internal and client environments. You ...
Strong software engineering fundamentals applied to data * Expertise working with data streaming technologies such as Kafka and Flink * Autonomous and effective in a team setting * Experience working ...
Strong software engineering fundamentals applied to data * Expertise working with data streaming technologies such as Kafka and Flink * Autonomous and effective in a team setting * Experience working ...
Senior Data Scientist
Quebec, QC · Remote
Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...
Quick apply
Senior Data Scientist
Quebec, QC · Remote
Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...
Senior Data Scientist
Montreal, QC · Remote
Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...
Quick apply
Senior Data Scientist
Montreal, QC · Remote
Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...
Senior Data Scientist
Montreal, QC · Remote
Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...
Quick apply
Senior Data Scientist
Montreal, QC · Remote
Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...
REQUIRED EXPERIENCE AND SKILLS * 2+ years in data engineering or cloud data infrastructure, preferably within retail, restaurant, or multi-location operations. * Advanced proficiency in Databricks ...
REQUIRED EXPERIENCE AND SKILLS * 2+ years in data engineering or cloud data infrastructure, preferably within retail, restaurant, or multi-location operations. * Advanced proficiency in Databricks ...
REQUIRED EXPERIENCE AND SKILLS * 2+ years in data engineering or cloud data infrastructure, preferably within retail, restaurant, or multi-location operations. * Advanced proficiency in Databricks ...
Quick apply
REQUIRED EXPERIENCE AND SKILLS * 2+ years in data engineering or cloud data infrastructure, preferably within retail, restaurant, or multi-location operations. * Advanced proficiency in Databricks ...
Senior Data Scientist
Quebec, QC · Remote
Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...
Quick apply
Senior Data Scientist
Quebec, QC · Remote
Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...
Data Engineer
Montreal, QC · On-site +1
CA$80 - CA$85/hr
Data Engineer Type: Contract 37.5 hrs/week Location: Montreal area, but can be remote Duration: 6 months initially until fiscal year end, then 6-12 month extension Rate: $80-85/hr C2C Position ...
Quick apply
Data Engineer
Montreal, QC · On-site +1
CA$80 - CA$85/hr
Data Engineer Type: Contract 37.5 hrs/week Location: Montreal area, but can be remote Duration: 6 months initially until fiscal year end, then 6-12 month extension Rate: $80-85/hr C2C Position ...
Sitting at the intersection of data engineering, data curation, and machine learning, you will own the end-to-end pipeline that transforms raw web-scale data into high-signal datasets used to train ...
Sitting at the intersection of data engineering, data curation, and machine learning, you will own the end-to-end pipeline that transforms raw web-scale data into high-signal datasets used to train ...
Data Engineering information
See Quebec salary details
$25K - $43.5K
10% of jobs
$43.5K - $62K
5% of jobs
$62K - $80.5K
4% of jobs
$95.9K is the 25th percentile. Wages below this are outliers.
$80.5K - $99K
6% of jobs
$99K - $117.5K
8% of jobs
$117.5K - $136K
14% of jobs
The median wage is $138.5K / yr.
$136K - $154.5K
16% of jobs
$167.2K is the 75th percentile. Wages above this are outliers.
$154.5K - $173K
17% of jobs
$173K - $191.5K
11% of jobs
$191.5K - $210K
6% of jobs
$210K - $228.5K
2% of jobs
$25K
$135.7K
$228.5K
How much do data engineering jobs pay per year?
Is AI replacing data engineers?
What work does a data engineer do?
What are the typical daily responsibilities of a Data Engineer?
Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.
What engineers make 500,000?
What is a Data Engineering job?
A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.
Are data engineers still in demand?
What are the key skills and qualifications needed to thrive in the Data Engineering position, and why are they important?
To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

Job description
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We are looking for an experienced data developer to support a new analytics platform in production and contribute to its upcoming release within a large financial services organization. The solution integrates data from multiple systems in an Azure cloud environment and makes it available through a data warehouse using Power BI. The project is progressing in iterations, each delivering value to users, until the planned handover to the operations team in summer 2027. You will be central to the stability and evolution of the solution: providing technical support after production releases, monitoring the platform, resolving issues with the team, developing ETL processes, and configuring data ingestion pipelines from source systems to data lakes. You will participate in data valuation and the configuration of the data warehouse according to the established model, perform unit testing, and document the processes.
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<\/p>
The client is seeking a data developer with 8+ years of experience to initially provide production support for the Group Insurance Data Hub, while continuing to contribute to Release 2. The core of the role is data engineering on the Azure stack: data ingestion into data lakes, dimensional modeling (dimensions and facts), and data exposure using Power BI. The recurring keywords (ETL, ingestion pipelines, Data Factory, Synapse, unit testing, continuous integration) indicate that the ideal candidate will write and debug processing code, not be a Power BI report writer or functional analyst. The production support context requires someone capable of independently diagnosing and resolving anomalies within a standardized process environment. This is neither an architect nor a project management role; therefore, candidates with primarily strategic or decision\-making experience should be excluded.<\/span>
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Responsibilities :
<\/p>\n
- \n
- Provide technical support to operations following production deployments and follow up on issues with project managers. <\/span>
<\/li>\n - Perform solution monitoring activities. <\/span>
<\/li>\n - Take responsibility for resolving solution anomalies, in collaboration with other members of the project team. <\/span>
<\/li>\n - Analyze system components, functional and non\-functional specifications, change requests, and any technical issues encountered. <\/span>
<\/li>\n - ETL Analysis and Development Configuration of data ingestion pipelines from source systems to appropriate data lakes Participation in data enhancement and data warehouse configuration (dimension\/fact configuration) according to the established data model Participation in data loading into tables Process breakdown and documentation Data profiling (tools, approaches) <\/span>
<\/li>\n - Performing unit testing Participating in production deployments Ensuring and performing updates to various databases and recommending any improvements aimed at optimizing their quality and efficiency.
<\/span><\/li>\n <\/ul><\/span>
Requirements<\/h3>REQUIREMENTS
<\/p>\n- \n
- 8+ years of hands\-on experience as a developer in a large enterprise | Required | All requirements met<\/span>
<\/span><\/li>\n - Excellent ETL knowledge and ETL development skills | Required | All requirements met<\/span>
<\/span><\/li>\n - Source system to data lake ingestion pipelines | Required | All requirements met<\/span>
<\/span><\/li>\n - Relational and dimensional models, dimension and fact configuration | Required | All requirements met<\/span>
<\/span><\/li>\n - Azure data storage (Data Lake, Blob Storage, Data Factory, Azure SQL Database, Synapse Analytics) | List of examples | Sufficient majority<\/span>
<\/span><\/li>\n - Power BI (Desktop, Service, components including gateway) | Required | All requirements met<\/span>
<\/span><\/li>\n - Unit testing approaches (TDD), automated testing, and continuous integration | List of examples | Sufficient majority<\/span>
<\/span><\/li>\n <\/ul>DESIRED<\/span>
<\/p>\n- \n
- Source code management and deployment (GitHub, GitHub Actions, Concourse) | List of examples | Sufficient majority<\/span>
<\/span><\/li>\n - Experience in data projects | Required | All requirements met<\/span>
<\/span><\/li>\n - Architecture patterns (Object\-Oriented, Cloud IaaS, CaaS, PaaS, SaaS, iPaaS) | List of examples | Sufficient majority<\/span>
<\/span><\/li>\n <\/ul>ASSET<\/span>
<\/p>\n- \n
- Domain\-Driven Design (DDD) | Required | Sufficient majority<\/span>
<\/span><\/li>\n - Application resilience and event\-driven architecture | List of examples | Sufficient majority<\/span>
<\/span><\/li>\n - Security principles and protocols (SSO, Auth0, SAML, OpenID, JWT, OAuth2, ABAC, RBAC) | List of examples | Sufficient Majority<\/span>
<\/span><\/li>\n - Note: The Azure stack is listed as an ecosystem; proficiency in most components with concrete projects is considered comprehensive. The absence of a single service does not disqualify you.<\/span>
<\/span><\/li>\n <\/ul><\/span>
<\/p>WHAT WE DON'T WANT<\/span>
<\/p>\n- \n
- Profiles of Power BI report writers without real experience in ETL development and data ingestion.<\/span>
<\/span><\/li>\n - Profiles of functional or BI analysts without experience writing data processing code.<\/span>
<\/span><\/li>\n - Profiles of architects or managers whose recent experience is in business intelligence rather than hands\-on development.<\/span>
<\/span><\/li>\n - Profiles of data engineers outside of Azure without demonstrated transferability to Data Factory and Synapse.<\/span>
<\/span><\/li>\n - Profiles of junior or intermediate profiles with less than 8 years of development experience in large companies.<\/span>
<\/span><\/li>\n - Profiles incapable of working independently in production support and accustomed to close supervision.<\/span>
<\/span><\/li>\n <\/ul>
<\/p>\n\n
\n <\/div><\/span>
\n <\/body>\n<\/html>
- Profiles of Power BI report writers without real experience in ETL development and data ingestion.<\/span>
- Domain\-Driven Design (DDD) | Required | Sufficient majority<\/span>
- Source code management and deployment (GitHub, GitHub Actions, Concourse) | List of examples | Sufficient majority<\/span>
- 8+ years of hands\-on experience as a developer in a large enterprise | Required | All requirements met<\/span>