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Azure Data Engineer Jobs in Alberta (NOW HIRING)

Ansell

Role Overview We are looking for a QA Lead Engineer who can provide both technical leadership and ... Experience with Azure Data Factory to orchestrate and validate ETL workflows. * Proficiency in ...

Canadian Natural

Data Provisioning Student

Calgary, AB · On-site

Are you a Software Engineering or Computer Science student passionate about modern technology and ... Databricks, Azure Data Factory and others * Develop data conversion scripts to load data from ...

Canadian Natural

Data Provisioning Student

Calgary, AB · On-site

Are you a Software Engineering or Computer Science student passionate about modern technology and ... Databricks, Azure Data Factory and others * Develop data conversion scripts to load data from ...

KPMG

Manager, ML/AI Engineer, Data & AI

Calgary, AB · On-site

Collaborate with data engineers to ensure reliable, scalable data pipelines that support model ... Cloud AI / ML certifications (e.g., Azure AI Engineer Associate or better, AWS Machine Learning ...

Krux Analytics Inc.

Data Architect

Calgary, AB · On-site +1

Experience withdevtoolsincluding Git, Azure, DevOps, Visual Studio, Jira * Understandingof modern data development technologies (data engineering, pipeline, ETL) * Strong attention to detail ...

SMS Equipment

Senior Data & AI Architect

Acheson, AB · On-site

Bachelor's degree in Computer Science, Engineering, Information Technology, Data Science, Analytics ... Fabric, Azure AI, Azure Databricks, Azure Synapse Analytics, Power BI, and Copilot Studio.

Krux Analytics

Data Architect

Calgary, AB · On-site

Experience with dev tools including Git, Azure, DevOps, Visual Studio, Jira * Understanding of modern data development technologies (data engineering, pipeline, ETL) * Strong attention to detail ...

Targeted Talent

Senior Database Developer

Calgary, AB · Remote

$95K - $110K/yr

We are looking for an experienced Data Developer for our client. This is a permanent position ... Experience working in a cloud environment (ideally Azure ) * Bonus points if you have experience ...

Targeted Talent

Senior Database Developer

Edmonton, AB · Remote

$95K - $110K/yr

We are looking for an experienced Data Developer for our client. This is a permanent position ... Experience working in a cloud environment (ideally Azure ) * Bonus points if you have experience ...

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All JobsAzure Data Engineer JobsAzure Data Engineer Jobs in Alberta

Azure Data Engineer information

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How much do azure data engineer jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for azure data engineer in Alberta is $63.22, according to ZipRecruiter salary data. Most workers in this role earn between $53.12 and $72.36 per hour, depending on experience, location, and employer.

What is an Azure Data Engineer?

Azure Data Engineers are IT professionals who design, implement, and manage data solutions using Microsoft Azure cloud services. They are responsible for building data pipelines, integrating diverse data sources, and ensuring data is stored securely and efficiently. These engineers work with tools like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics to process, transform, and analyze large volumes of data. Their main goal is to provide reliable data infrastructure to support business intelligence and analytics needs.

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

To thrive as an Azure Data Engineer, you need proficiency in data modeling, SQL, ETL processes, and a solid understanding of cloud computing concepts, typically supported by a degree in computer science or a related field. Familiarity with Microsoft Azure services (such as Azure Data Factory, Azure Synapse Analytics, and Azure Databricks), and relevant certifications like Microsoft Certified: Azure Data Engineer Associate, are highly valuable. Strong problem-solving skills, effective communication, and adaptability help you collaborate across teams and respond to evolving project needs. These skills are crucial for designing robust data solutions that support business intelligence and decision-making in cloud environments.

What are some common challenges Azure Data Engineers face when integrating data from multiple sources?

Azure Data Engineers often encounter challenges when consolidating data from diverse sources such as on-premises databases, cloud storage, and third-party applications. Issues like data format inconsistencies, varying data quality, and synchronization timing can complicate the integration process. Leveraging Azure services like Data Factory and Synapse Analytics helps automate and streamline these tasks, but careful planning and robust data validation are essential. Collaboration with business analysts and data architects is also crucial to ensure the integrated data meets organizational requirements.

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

AspectAzure Data EngineerData Analyst
Required CredentialsAzure certifications, SQL, Python, cloud skillsData analysis certifications, SQL, Excel, BI tools
Work EnvironmentCloud platforms, data pipelines, big data toolsData visualization, reporting, business insights
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Azure Data Engineers focus on building and maintaining data pipelines in cloud environments, utilizing tools like Azure Data Factory and SQL. Data Analysts interpret data to generate reports and insights, often using Excel and BI tools. While both roles work with data, Azure Data Engineers handle data infrastructure, whereas Data Analysts focus on data interpretation and visualization.

Is an Azure Data Engineer a good career?

An Azure Data Engineer is a valuable role focused on designing and implementing data solutions using Microsoft Azure cloud services. It typically requires skills in data modeling, SQL, and tools like Azure Data Factory and Databricks, with certifications such as Microsoft Certified: Azure Data Engineer Associate enhancing job prospects. The role offers strong demand due to the increasing reliance on cloud-based data infrastructure across industries.

What are the most commonly searched types of Azure Data Engineer jobs in Alberta?

The most popular types of Azure Data Engineer jobs in Alberta are:

What are popular job titles related to Azure Data Engineer jobs in Alberta?

For Azure Data Engineer jobs in Alberta, the most frequently searched job titles are:

What job categories do people searching Azure Data Engineer jobs in Alberta look for?

The top searched job categories for Azure Data Engineer jobs in Alberta are:

Azure Data Engineer jobs near you
Infographic showing various Azure Data Engineer job openings in Alberta as of September 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Hybrid job distribution, with an average salary of $131,506 per year, or $63.2 per hour.

QA Lead Engineer

Ansell
Manufacturing • 10K+ employees
Learn more about Ansellexternal

Full-time

Re-posted 24 days ago

Job description

Ansell is a leading global provider of protection solutions. Our company designs, develops and manufactures a wide range of protection solutions that meet the ever-changing needs and demands of our markets and industries. Protection is our primary concern as millions of people around the world depend on Ansell in their professional and personal lives.
Our vision is to create a world where people can enjoy optimal protection against the risk they are exposed to. Whether at work or during their leisure time, people require the right protection for the right application. After all, what better guarantee is there than increased safety, security and productivity than through adequate protection.

Role Overview

We are looking for a QA Lead Engineer who can provide both technical leadership and hands-on programming expertise to drive the testing strategy and quality assurance for our data and analytics initiatives. This role is ideal for someone who thrives in a dual capacity - designing processes and actively developing, implementing, and optimizing testing frameworks, tools, and automation scripts. You will work closely with Data Engineers and business stakeholders to ensure the highest quality of data pipelines, ETL processes, and analytics deliverables.

Key Responsibilities

  • Design Solutions: Act as the QA Lead Engineer designing and optimizing testing processes for data and analytics functions.
  • Hands-On Development: Code, and maintain automated test scripts, frameworks, and utilities in Python, PySpark, and Spark SQL to validate data pipelines and transformations.
  • Support Data Engineering: Actively assist the data engineering team during peak periods by contributing to data transformation tasks and ensuring smooth execution of data pipelines.
  • Testing Strategy Ownership: Take ownership of the testing strategy, driving the design, execution, and reporting of test cases using various testing frameworks and tools for new development requirements or bug fixes.
  • Framework Implementation: Lead and actively develop/customize testing frameworks and methodologies to meet business objectives and testing requirements.
  • Technical Leadership: Provide end-to-end technical leadership for implementing testing processes, while maintaining and enhancing existing test frameworks and applications.
  • Best Practices: Implement and promote best practices in test automation, manual testing, performance testing, and integration testing to ensure consistency and quality across all testing activities.
  • Test Optimization: Write efficient, maintainable, and scalable test scripts that maximize testing coverage, accuracy, and issue detection.
  • Documentation: Create and maintain detailed documentation for testing processes, test cases, and results for future reference and training.
  • Stakeholder Collaboration: Work closely with business users and key stakeholders to understand testing needs and recommend solutions aligned with business goals.
  • Data Validation: Partner with Data Engineers to validate data pipelines, ETL processes, and data integrity during testing phases.
  • Reporting: Build simple Power BI reports and dashboards to track and visualize test results and quality metrics.

Technical Skills & Qualifications

  • Hands-on expertise in Python for test automation, scripting, and data validation.
  • Strong skills in PySpark and Spark SQL for validating and testing large-scale data transformations.
  • Experience with Azure Data Factory to orchestrate and validate ETL workflows.
  • Proficiency in Azure Databricks for data processing and distributed testing of data pipelines.
  • Ability to create simple Power BI reports for test result visualization or reporting.
  • Proven experience implementing, customizing, and maintaining testing frameworks in data and analytics environments.
  • Deep understanding of test automation, performance testing, integration testing, and QA best practices for data-centric systems.
  • Excellent communication, and stakeholder

Apply