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Azure Data Engineer Jobs in Alberta (NOW HIRING)

Microsoft Azure, Fabric, or Power BI. * Databricks or Azure data-engineering certifications. What We Will Assess During the Interview We will explore how you: * Build pipelines that remain reliable ...

... broader Azure ecosystem. The role will be tasked with architecting complex data pipelines ... Responsibilities Data Engineering Design, develop, and implement Microsoft Fabric data lakes ...

Data Engineer

Calgary, AB

  • Medical

  • Dental

  • Vision

Experience working within cloud environments (GCP, AWS, or Azure) . * Experience with database ... Science, Engineering, or related discipline. * Experience working with enterprise-scale data ...

... Azure Data Lake Storage, Power BI and other Azure technologies * Communicate the technical ... Bachelors or Diploma in Computer Science, Database Management, Data Programming, Information ...

... Azure Data Lake Storage, Power BI and other Azure technologies * Communicate the technical ... Bachelors or Diploma in Computer Science, Database Management, Data Programming, Information ...

Provide strategic guidance on leveraging Microsoft Data Platform technologies (such as Fabric, Azure Synapse, Power BI, etc.) for data warehousing, data engineering, semantic modeling, analytics ...

Experience with cloud data infrastructure -- AWS, GCP, or Azure -- and comfort operating in a cloud-native environment Systems & Engineering Mindset * Ability to reason about system architecture ...

Data Engineer Location: Edmonton, AB - hybrid Type: Permanent We currently recruiting for a Full-time Data Engineer for our downtown Edmonton-headquartered client's Information Technology Department.

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 ...

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Azure Data Engineer information

See Alberta salary details

$41

$63

$88

How much do azure data engineer jobs pay per hour?

As of Aug 17, 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:

Infographic showing various Azure Data Engineer job openings in Alberta as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $131,506 per year, or $63.2 per hour.

Senior Consultant, Microsoft Fabric Data Engineer, Data & AI

KPMG

Calgary, AB โ€ข On-site

Full-time

Re-posted 11 days ago


Job description

Overview

At KPMG in Canada, our people bring their unique perspectives to Canadaโ€™s most important challenges. Here, you can build momentum that reaches beyond our business, develop skills for the future, and take ownership of your career with support at every stage. Join a firm where your career can make a difference.

Are you a talented leader with a proven track record for motivating teams and delivering exceptional client service?

Our team is looking for a Data Engineer with deep hands-on expertise in Microsoft Fabric and strong consulting capabilities. This role will support and lead data platform modernization initiatives, helping clients migrate from legacy and onpremise environments to scalable, secure, and unified analytics platforms leveraging Microsoft Fabric, OneLake, and Azure-native services.


What you will do
  • Partner with clients to understand business goals, gather requirements, and translate them into actionable technical designs and delivery plans using Microsoft Fabric.
  • Work with engagement teams to translate business and analytics requirements into endtoend data strategies, including ingestion, transformation, semantic modeling, and analytics enablement.
  • Contribute to solution architecture design for repeatable, scalable, and costoptimized analytics platforms using Microsoft Fabric components.
  • Lead delivery of modern data platforms leveraging Fabric Lakehouse, Data Warehouse, Data Engineering, and Real-Time Analytics workloads.
  • Design and implement data ingestion and transformation pipelines using Fabric Data Factory, notebooks, and Spark.
  • Implement medallion architecture patterns (Bronze, Silver, Gold) using Fabric Lakehouse and OneLake.
  • Develop scalable batch and streaming pipelines using Spark, Eventstreams, and real-time ingestion patterns.
  • Build and optimize semantic models for downstream analytics and reporting in Power BI.
  • Apply CI/CD and engineering best practices including version control, automated deployment, testing, and release management for Fabric workloads.
  • Establish and operationalize governance across Fabric using Microsoft Purview, role-based access control, and data lineage.
  • Support testing, performance tuning, and production releases across Fabric workloads.
  • Proactively contribute to creation of presentation materials and client-facing documentation related to data and analytics initiatives.
  • Provide technical leadership and mentorship to junior team members.

What you bring to the role
  • University degree in computer engineering, computer science, mathematics, data science, or related disciplines.
  • 4+ years of professional experience in Data Engineering, Analytics Engineering, Business Intelligence, or a related field.
  • 2+ years of hands-on experience with Microsoft Fabric or Azure Synapse / Azure Data Engineering services.
  • Strong proficiency in SQL and solid understanding of modern data modeling principles and data warehousing concepts.
  • Proficiency in Python (or similar languages) for data processing, automation, and analytics workflows.
  • Hands-on experience with Spark-based data processing and notebook-driven development.
  • Experience with Fabric Lakehouse, Data Warehouse (SQL Endpoint), OneLake, and semantic modeling.
  • Experience supporting data platform modernization and Azure-based migration initiatives.
  • Experience applying CI/CD practices to data and analytics solutions.
  • Strong understanding of data governance, security, and access control within Microsoft ecosystems.
  • Experience collaborating with cross-functional teams to solve complex data challenges.
  • Familiarity with Power BI and downstream analytics enablement.

Certifications (Preferred)

  • Microsoft Certified: Fabric Analytics Engineer Associate
  • Microsoft Certified: Azure Data Engineer Associate
  • Power BI Data Analyst certification
  • Other relevant Microsoft Azure or data engineering certifications

KPMG Ontario Region Pay Range Information

The expected base salary range for this position is $77,000 to $102,000 and may be eligible for bonus awards. The determination of an applicantโ€™s base salary within this range is based on the individualโ€™s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

KPMG BC Region Pay Range Informationย ย ย 

The expected base salary range for this position isย $73,000 to $100,000ย and may be eligible for bonus awards. The determination of an applicantโ€™s base salary within this range is based on the individualโ€™s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.ย 

Providing you with the support you need to be at your best


Our Values, The KPMG Way

Integrity, we do what is right |ย Excellence, we never stop learning and improving |ย Courage, we think and act boldly | Together, we respect each other and draw strength from our differences |ย For Better, we do what matters

KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice.

Adjustments and accommodations throughout the recruitment process

At KPMG, we are committed to fostering an inclusive recruitment process where all candidates can be themselves and excel. We aim to provide a positive experience and are prepared to offer adjustments or accommodations to help you perform at your best. Adjustments (informal requests), such as extra preparation time or the option for micro breaks during interviews, and accommodations (formal requests), such as accessible communication supports or technology aids, are tailored to individual needs and role requirements. You will have an opportunity to request an adjustment or accommodation at any point throughout the recruitment process. If you require support, please contact KPMGโ€™s Employee Relations Service team by calling 1-888-466-4778.

AI Usage

Weembrace the use of artificial intelligence (AI) to enhance the candidate experience and streamline our recruitment processes. AI tools may help with organizing applications or surfacing relevant qualifications. However, no hiring decisions are made using AI. Every hiring decision is made by our hiring managers and recruitment professionals, who are equipped with training that empowers them to use these tools responsibly. AI technologies used in our recruitment process undergo detailed risk assessments, including security and privacy requirements, that align with KPMGโ€™s Trusted AI framework.

We believe technology should empower human judgment, not replace it. Itโ€™s one of the many ways weโ€™re delivering on our vision of being a technology-first, people-driven firm.

Qualifications:
  • University degree in computer engineering, computer science, mathematics, data science, or related disciplines.
  • 4+ years of professional experience in Data Engineering, Analytics Engineering, Business Intelligence, or a related field.
  • 2+ years of hands-on experience with Microsoft Fabric or Azure Synapse / Azure Data Engineering services.
  • Strong proficiency in SQL and solid understanding of modern data modeling principles and data warehousing concepts.
  • Proficiency in Python (or similar languages) for data processing, automation, and analytics workflows.
  • Hands-on experience with Spark-based data processing and notebook-driven development.
  • Experience with Fabric Lakehouse, Data Warehouse (SQL Endpoint), OneLake, and semantic modeling.
  • Experience supporting data platform modernization and Azure-based migration initiatives.
  • Experience applying CI/CD practices to data and analytics solutions.
  • Strong understanding of data governance, security, and access control within Microsoft ecosystems.
  • Experience collaborating with cross-functional teams to solve complex data challenges.
  • Familiarity with Power BI and downstream analytics enablement.

Certifications (Preferred)

  • Microsoft Certified: Fabric Analytics Engineer Associate
  • Microsoft Certified: Azure Data Engineer Associate
  • Power BI Data Analyst certification
  • Other relevant Microsoft Azure or data engineering certifications

KPMG Ontario Region Pay Range Information

The expected base salary range for this position is $77,000 to $102,000 and may be eligible for bonus awards. The determination of an applicantโ€™s base salary within this range is based on the individualโ€™s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

KPMG BC Region Pay Range Informationย ย ย 

The expected base salary range for this position isย $73,000 to $100,000ย and may be eligible for bonus awards. The determination of an applicantโ€™s base salary within this range is based on the individualโ€™s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.ย 

Providing you with the support you need to be at your best

Education:UNAVAILABLEEmployment Type: FULL_TIME