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Remote Azure Data Engineer Jobs in Montreal, QC (NOW HIRING)

Tech Talent International

Data Engineer

Montreal, QC · On-site +1

CA$80 - CA$85/hr

Montreal area, but can be remote Duration: 6 months initially until fiscal year end, then 6-12 ... Azure or similar Experience in translating business requirements into advanced data models able to ...

Tecsys Inc.

Data Engineer (DevOps)

Montreal, QC · On-site +1

Having recognized the advantages of remote work, including employee morale, productivity, reduced ... Data Platform Engineer (DevOps) to join our TecsysIQ Data & AI team. This is a hybrid role that ...

Capco

Dynamics Developer (Hybrid Montreal)

Montreal, QC · On-site +1

Dynamic Developer Why This Role Is Open We are currently hiring for this role due to an existing or ... Experience with Azure services, including Azure Data Factory, Service Bus, Azure SQL, Logic Apps ...

Targeted Talent

Senior Database Developer

Montreal, QC · Remote

... Data Developer for our client. This is a permanent position, remote! Our client is a large fintech ... Experience working in a cloud environment (ideally Azure ) * Bonus points if you have experience ...

Targeted Talent

Senior Database Developer

Montreal, QC · Remote

... Data Developer for our client. This is a permanent position, remote! Our client is a large fintech ... Experience working in a cloud environment (ideally Azure ) * Bonus points if you have experience ...

TEHORA

Architecte infonuagique Azure

Montreal, QC · Remote

Collaborer avec les équipes DevOps, développement et sécurité; * Contribuer aux stratégies de ... Microsoft Azure, Azure DevOps, CI/CD; * Infrastructure as Code, monitoring et observabilité;

Targeted Talent

Data Scientist

Montreal, QC · Remote

This is a permanent position that is completely 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 ...

Targeted Talent

Data Scientist

Montreal, QC · Remote

This is a permanent position that is completely 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 ...

Targeted Talent

Senior Data Scientist

Montreal, QC · Remote

This is a permanent position that is completely 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 ...

Targeted Talent

Senior Data Scientist

Montreal, QC · Remote

This is a permanent position that is completely 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 ...

Targeted Talent

DevOps Engineer

Montreal, QC · On-site +1

This is a permanent position, that can either be remote or in-office at Toronto! Our client is a ... Practical experience implementing and managing VMWare/Nutanix HCI and/or Microsoft Azure based ...

Targeted Talent

DevOps Engineer

Montreal, QC · On-site +1

This is a permanent position, that can either be remote or in-office at Toronto! Our client is a ... Practical experience implementing and managing VMWare/Nutanix HCI and/or Microsoft Azure based ...

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All JobsAzure Data Engineer JobsRemote Azure Data Engineer JobsRemote Azure Data Engineer Jobs in Montreal, QC

Remote Azure Data Engineer information

What is a remote Azure Data Engineer?

A Remote Azure Data Engineer is responsible for designing, implementing, and managing data solutions using Microsoft Azure cloud services while working from a remote location. They work with tools like Azure Data Factory, Azure SQL Database, and Azure Synapse Analytics to process, store, and analyze data. Their role includes data pipeline development, performance optimization, and ensuring data security. Collaboration with data scientists, analysts, and business teams is common to support data-driven decision-making.

What are the key skills and qualifications needed to thrive as a remote Azure Data Engineer?

To thrive as a Remote Azure Data Engineer, you need expertise in designing, implementing, and managing data solutions using Microsoft Azure, along with proficiency in SQL, data warehousing, and ETL processes. Familiarity with tools like Azure Data Factory, Azure SQL Database, Databricks, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong problem-solving skills, effective communication, and the ability to work autonomously make candidates stand out in this remote role. These skills ensure that data pipelines are robust, secure, and scalable, enabling organizations to make data-driven decisions efficiently.

What are some common challenges a remote Azure Data Engineer might face, and how are they typically addressed?

A common challenge for Remote Azure Data Engineers is ensuring secure, reliable data transfer and integration across distributed systems while collaborating with teams that may be in different time zones. This is typically addressed by implementing best practices for cloud security, employing automated monitoring, and leveraging project management tools to stay aligned with cross-functional teams. Clear, proactive communication is essential in a remote environment, as is documentation to keep everyone updated on project progress. Many organizations also offer regular virtual check-ins and access to knowledge-sharing platforms to foster collaboration. By staying organized and proactive, remote Azure Data Engineers can successfully deliver scalable data solutions in a distributed work setup.

What are the most commonly searched types of Azure Data Engineer jobs in Montreal, QC?

The most popular types of Azure Data Engineer jobs in Montreal, QC are:

What are popular job titles related to Remote Azure Data Engineer jobs in Montreal, QC?

For Remote Azure Data Engineer jobs in Montreal, QC, the most frequently searched job titles are:

What job categories do people searching Remote Azure Data Engineer jobs in Montreal, QC look for?

The top searched job categories for Remote Azure Data Engineer jobs in Montreal, QC are:

Remote Azure Data Engineer jobs near you

Data Integration Engineer

Montreal, QC • Remote

GFR Technologies SE
See more jobs at GFR Technologies SEexternal

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Data Integration Engineer (Azure & Databricks)

Location: Canada (Hybrid/Remote)
Experience: 5-8 Years

Position Overview

We are seeking a hands-on Data Integration Engineer to join our growing data and analytics team. This role is focused on the design, development, enhancement, and support of enterprise data integration solutions within an Azure and Databricks ecosystem.

The ideal candidate is an execution-oriented professional who enjoys building and supporting data pipelines, integrating data from multiple source systems, and implementing scalable modern data platform solutions. While the role requires participation in solution discussions, the primary focus is on delivery, implementation, and operational support, rather than enterprise architecture or strategic consulting.

Key Responsibilities

Data Integration & Engineering

  • Design, develop, and maintain scalable data integration pipelines using Azure and Databricks.
  • Build and support batch and near real-time data ingestion processes from multiple internal and external source systems.
  • Develop data transformation logic to support analytics, reporting, and business consumption requirements.
  • Implement data quality, validation, reconciliation, and monitoring processes.
  • Optimize pipeline performance and troubleshoot production issues.

Databricks Development

  • Develop and maintain Databricks notebooks, workflows, and processing pipelines.
  • Build transformation frameworks using Spark and Databricks best practices.
  • Support data ingestion, cleansing, enrichment, and aggregation activities.
  • Work with large and complex datasets across multiple domains.

Azure Data Platform Delivery

  • Develop solutions using Azure data services including:
    • Azure Data Factory (ADF)
    • Azure Data Lake Storage (ADLS)
    • Azure Databricks
    • Azure SQL
    • Azure Synapse (preferred)
  • Support deployment, monitoring, and operational activities across the data platform.

Data Architecture Implementation

  • Implement and support Medallion Architecture (Bronze, Silver, Gold layers).
  • Ensure data lineage, governance, and consistency across the platform.
  • Contribute to data modeling and solution design discussions.
  • Translate architectural direction into technical implementation and delivery.

Team Collaboration

  • Collaborate closely with Data Engineers, Solution Architects, Product Owners, and Business Stakeholders.
  • Support ongoing initiatives and enhancements within an established delivery team.
  • Participate in Agile ceremonies, sprint planning, estimation, and backlog refinement.
  • Assist in production support, troubleshooting, and continuous improvement initiatives.

Required Qualifications

  • 5-8 years of experience in Data Engineering, Data Integration, or Data Platform Development.
  • Strong hands-on experience with Azure Databricks.
  • Proven experience building and supporting enterprise-scale data pipelines.
  • Strong understanding of data ingestion, transformation, and integration patterns.
  • Experience integrating data from multiple source systems and platforms.
  • Solid understanding of modern data lake and lakehouse architectures.
  • Experience implementing Medallion Architecture concepts.
  • Strong SQL development and data analysis skills.
  • Experience working within Agile delivery teams.

Technical Skills

Required

  • Azure Databricks
  • Apache Spark / PySpark
  • Azure Data Factory (ADF)
  • Azure Data Lake Storage (ADLS)
  • SQL
  • Python
  • Data Integration & ETL/ELT Development
  • Data Quality & Reconciliation

Preferred

  • Azure Synapse Analytics
  • Delta Lake
  • CI/CD for Data Pipelines
  • Azure DevOps
  • Git
  • Kafka or Event-Driven Architectures
  • Power BI

Preferred Experience

  • Experience supporting cloud-based analytics and reporting platforms.
  • Experience working with complex enterprise data ecosystems.
  • Exposure to financial services, insurance, banking, or regulated industries.
  • Experience supporting production environments and ongoing operational initiatives.
  • Familiarity with data governance and data management best practices.

Apply