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Azure Data Engineer Jobs in Alberta (NOW HIRING)

PwC

Developer, Senior Associate

Calgary, AB

CA$87K - CA$137K/yr

Bridge Cloud, Data, and AI delivery teams by providing software engineering depth, AI application ... Strong understanding of Azure DevOps, Git-based development, YAML pipelines, release management ...

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 ...

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 ...

HollisWealth

Senior BI Developer

Calgary, AB · On-site

Senior BI Developer: We are seeking a mid-senior to senior-level BI Developer who will play a ... Utilize Azure services (ADLS, Databricks, ADF) and Snowflake to centralize and enhance data ...

New

HollisWealth

Senior BI Developer

Edmonton, AB · On-site

Senior BI Developer: We are seeking a mid-senior to senior-level BI Developer who will play a ... Utilize Azure services (ADLS, Databricks, ADF) and Snowflake to centralize and enhance data ...

New

Fleetworthy

Software Engineer

Edmonton, AB · On-site

Implement scalable ETL/data transformation workflows using Databricks or similar platforms * Write ... Familiarity with cloud-based platform services such as Azure or AWS * Familiarity with any version ...

ALS

Junior Machine Learning Engineer

Calgary, AB

CA$80K - CA$95K/yr

You will work with data scientists, engineers, product teams, and business stakeholders to help ... Support cloud-based AI and ML development using platforms such as Azure, Google Cloud Platform (GCP ...

Deloitte

Data Science Manager

Calgary, AB

... and programming languages (SQL, Oracle, Hadoop, NoSQL) for data manipulation and integration. • Experience with cloud ML platforms (AWS, GCP, Azure) is an asset. • Experience with natural ...

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Showing results 41-60

All JobsAzure Data Engineer JobsAzure Data Engineer Jobs in Alberta

Azure Data Engineer information

See Alberta salary details

$41

$63

$88

How much do azure data engineer jobs pay per hour?

As of Aug 10, 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 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.

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 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.

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 management and analytics.
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 July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 14% Part Time, and 7% Contract. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution, with an average salary of $131,506 per year, or $63.2 per hour.

Developer, Senior Associate

PwC

Calgary, AB

CA$87K - CA$137K/yr

Full-time

Posted 11 days ago

PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

27th of 72 rated business consultants

Job description

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Analytics

Management Level

Senior Associate

Job Description & Summary

At PwC, our Software engineers blend modern data and software engineering with applied AI to design and deliver intelligent, productiongrade solutions for clients. We turn enterprise data into AIpowered outcomes to support decisionmaking, automate workflows, and unlock new sources of value with AI.

The Opportunity

As aDeveloper, Senior Associate,unlock your potential and embrace the chance to drive meaningful outcomesthat'llelevate your career. Your role will include, butisn'tlimited to:

  • Bridge Cloud, Data, and AI delivery teams by providing software engineering depth, AI application developmentexperienceand enterprise-grade cloud implementation skills.

  • You will respondto the diverse perspectives, needs, and feelings of others. You will use a broad range of tools,methodologiesand techniques to generatenew ideasand solve problems.

  • Focused on relationships, you are building meaningful clientconnections, andlearning how to manage and inspire others.

  • Navigating increasingly complex situations, you are growing your personal brand, deepening technicalexpertiseand awareness of your strengths.

  • Embracing increased ambiguity, you are comfortable when the path forwardisn'tclear, you ask questions, and you use these moments as opportunities to grow.

  • AtPwCour candidates must also uphold and reinforce professional and technical standards (e.g.refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

What You'll Bring
Your skills, knowledge, and experiences are what set you apart.Here'swhat we look for:

  • Bachelors orMastersdegree in Computer Science, Software Engineering or similar

  • Full-Stack Development or Backend Expertise:Proficiencyin Python and/or C#, with experience building production-ready applications, integrating services, developing APIs, and implementing modern software engineering best practices.

  • DevOps, CI/CD, and Engineering Governance: Strong understanding of Azure DevOps, Git-based development, YAML pipelines, release management, environment promotion, code quality practices, and software delivery lifecycle management

  • System Integration, Observability, and Data Engineering Fundamentals: Experience with SQL and API integrations

  • Cloud-Native Software Engineering:Proven experience designing, developing, and deploying cloud-native applications on Azure (Preference is Azure butorequivalent cloud provideris sufficient), including Azure Functions, Container Apps, API development, event-driven architectures, and scalable backend services

  • Agentic AI and Intelligent Application Development: Hands-on experience building AI-enabled solutions using technologies such as Azure AI Foundry, Azure OpenAI, multi-agent frameworks, prompt engineering, and intelligent workflow orchestration.(Nice to have)

  • Knowledge of agile software development lifecycles (SDLC) and experience working on projects that follow an Agile Scrummethodology.(Nice to have)

  • Experience withmonitoring and telemetry frameworks, audit logging, operational data stores, and cloud observability tools to support enterprise-grade applications.(Nice to have)

  • ASP.NET, Azure Cloud, Azure Functions and Logic Apps, Angular, React.js, Next.js, Azure Integration Services, LINQ, MS SQL Server, Entity Framework, GitHub, Azure DevOps, Bootstrap, Node.js, Python, OpenAI ChatGPT APIs or Azure OpenAI arenice to have experience for this role.(Nice to have)

  • Knowledge of agile software development lifecycles (SDLC) and experience working on projects that follow an Agile Scrummethodology.(Nice to have)

  • This role does not require professional engineering licensure and is not classified as a formal engineering position under provincial regulatory definitions. While individuals with aP.Engdesignation are welcome to apply, the responsibilities of this role do not involve the practice of professional engineering as defined by applicable legislation.

Thisposition ensures continuity and upholds our standards of excellence following the departure of a valued team member.

The salary range for this position is $87,700 - $137,700.The posted salary rangerepresentsthe expected hiring range forPwC locations in major citycentres. Given our national recruiting approach, ranges may vary for positions in other locations. At PwC Canada, base salary isdeterminedby your skills, experience,qualificationsand work location.In addition to base salary, eligible employees may have opportunities toparticipatein variable incentive pay programs which are designed to reward individual and firm-wide achievements.We are committed to offering competitive compensation and adhere to all relevant pay transparency legislation.During the hiring process, our Talent Acquisition team will provide details about our comprehensive total rewards package.

Whyyou'lllove PwC

We'reinspiring and empowering our people to change the world. Powered by the latest technology,you'llbe a part of diverse teams helping public and private clients build trust and deliver sustained outcomes. This meaningful work, and our continuous development environment, will take your career to the next level. We reward your impact, and support yourwellbeing,through a competitive compensation package, inclusive benefits and flexibility programs that will help you thrive in work and life. Learn more about our Application Process and Total Rewards Package at:https://jobs-ca.pwc.com/ca/en/life-at-pwc

PwC Canada acknowledges that we work and live across Turtle Island, on the land that is now known as Canada, which are the lands of the ancestral, treaty and unceded territories of the First Nations,Metisand Inuit Peoples. We recognize the systemic racism,colonialismand oppression that Indigenous Peoples have experienced and still go through, and we commit to allyship and solidarity.

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Artificial Intelligence, Big Data, C++ Programming Language, Communication, Complex Data Analysis, Creativity, Data-Driven Decision Making (DIDM), Data Engineering, Data Lake, Data Mining, Data Modeling, Data Pipeline, Data Quality, Data Science, Data Science Algorithms, Data Science Troubleshooting, Data Science Workflows, Deep Learning, Embracing Change, Emotional Regulation, Empathy {+ 18 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

July 29, 2026We're committed to providing accommodation throughout the application, interview, and employment process. If you require accommodation to be at your best, please let us know during the application process.The use of artificial intelligence (AI) in recruiting is just getting started, so we know you have questions about how and why we use it. At certain points during our recruiting process, we rely on AI to improve your experience. This could be during resume review or curating personalized job recommendations, asking you clarifying questions via a chatbot or during our interview scheduling to improve your experience. Our use of AI helps ensure we combat bias by evaluating candidates equally and fairly, without seeing identity information, such as your name, or gender for example). AI also helps us better predict successful hires by reviewing all applicants for a role and the relationship between your skills, experience and likely success at PwC Canada. While AI supports parts of our recruitment process, final hiring decisions always involve human review. For more information about our use and protection of your data, please refer to our Privacy Policy (https://www.pwc.com/ca/en/privacy-policy.html).Nous tenons a repondre a vos besoins tout au long du processus de demande d'emploi, d'entrevue et d'embauche. Si vous avez besoin de mesures d'adaptation pour etre parfaitement a l'aise, faites-le-nous savoir a l'etape de la demande d'emploi.L'utilisation de l'intelligence artificielle (IA) dans le domaine du recrutement en est a ses balbutiements. Nous savons que vous pourriez vous demander comment et pourquoi nous y avons recours. A certains stades de notre processus de recrutement, nous comptons sur l'IA pour ameliorer votre experience. Par exemple, pendant l'examen du curriculum vit ou l'elaboration d'une liste de recommandations personnalisees, un agent conversationnel pourrait vous demander des precisions ou fixer avec vous un rendez-vous pour l'entrevue. L'IA nous aide a mieux lutter contre les prejuges, car l'evaluation des candidats se fait de facon juste et equitable, sans que les informations d'identification comme le nom ou le sexe soient connues. Elle nous permet egalement de mieux reperer les bons candidats pour un poste et d'evaluer le lien entre leurs competences, leur experience et leurs chances de reussir chez PwC Canada. Bien que l'IA facilite certaines etapes de notre processus de recrutement, les decisions finales d'embauche sont toujours prises par des personnes. Pour en savoir plus sur l'utilisation et la protection de vos donnees personnelles, consultez notre politique sur la protection des renseignements confidentiels (https://www.pwc.com/ca/fr/privacy-policy.html).

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