1

Internship Azure Data Engineer Jobs in Calgary, AB

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 ...

Implement best practices for security, compliance, and cost management within Azure Databricks environments. * Collaborate with data engineers, data scientists, and other stakeholders to support ...

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 ...

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

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 ...

next page

Showing results 1-20

Internship Azure Data Engineer information

What does an internship Azure Data Engineer do?

An Internship Azure Data Engineer assists in designing, building, and maintaining data solutions using Microsoft Azure technologies. Responsibilities typically include working with data pipelines, cloud databases, and tools such as Azure Data Factory, Azure SQL Database, and Azure Databricks. Interns often help with data integration, transformation, and storage tasks, as well as collaborating with senior engineers and stakeholders to support data-driven projects. This role provides valuable exposure to cloud computing, big data, and the practical application of data engineering concepts.

What kinds of projects and technologies can I expect to work with during an internship Azure Data Engineer?

As an Azure Data Engineer intern, you'll typically gain hands-on experience with cloud data solutions, such as building and managing data pipelines using Azure Data Factory, integrating data sources with Azure Databricks or Synapse Analytics, and working with Azure SQL databases. Interns often participate in real-world projects like data migration, data cleansing, and developing dashboards for business insights. You will likely collaborate closely with data scientists, software developers, and business analysts, learning best practices for data security, scalability, and performance in a cloud environment.

What are the key skills and qualifications needed to thrive as an internship Azure Data Engineer, and why are they important?

To thrive as an Internship Azure Data Engineer, you need a solid understanding of data management concepts, SQL, and a background in computer science or a related field. Familiarity with Microsoft Azure services like Azure Data Factory, Azure SQL Database, and tools such as Power BI is typically required, along with a willingness to pursue certifications like Microsoft Certified: Azure Data Engineer Associate. Strong analytical thinking, problem-solving skills, and effective teamwork set candidates apart in this role. These skills are essential to efficiently design, implement, and maintain data solutions that support business intelligence and decision-making in cloud environments.

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

AspectInternship Azure Data EngineerData Analyst Intern
Required CredentialsBasic knowledge of Azure, SQL, and data engineering conceptsBasic understanding of data analysis, Excel, and SQL
Work EnvironmentCloud platforms, data pipelines, and database managementData visualization, reporting, and data interpretation
Employer & Industry UsageTech companies, cloud service providers, data-driven organizationsBusiness, marketing, finance sectors, and consulting firms

Internship Azure Data Engineer roles focus on cloud-based data pipeline development and management using Azure tools, while Data Analyst Internships emphasize data interpretation and reporting. Both roles are entry-level, often require SQL knowledge, and serve data-driven industries, but they differ in technical focus and daily tasks.

What are popular job titles related to Internship Azure Data Engineer jobs in Calgary, AB?

For Internship Azure Data Engineer jobs in Calgary, AB, the most frequently searched job titles are:

What cities near Calgary, AB are hiring for Internship Azure Data Engineer jobs?

Cities near Calgary, AB with the most Internship Azure Data Engineer job openings:

Deals Real Assets, Data Engineering & Digital Solutions,Senior Associate

PwC

Calgary, AB

Full-time

Re-posted 9 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Capital Projects

Management Level

Senior Associate

Job Description & Summary

A career within Deals, Capital Projects and Infrastructure, part of our Real Assets group, will provide you with the opportunity to deliver innovative deal solutions to our clients, providing advice and support, from initiation through to completion. In short,we'rea part of helping some of the world's leading companies and governments across many industries originate, create, execute, andrealizevalue.
The Real Assets teamadvisesgovernments and businesses in the delivery of complex infrastructure and capital projects and programs. As part of our team, you'll leverage your technical expertise in data engineering and software development to build the digital tools, platforms, and data solutions that power our advisory capabilities, enabling clients to optimize capital programs, ensure project success, and navigate constrained budgets or challenging situations.

The Opportunity:

As a Deals, Real Assets Senior Associate - Data Engineering & Digital Solutions, unlock your potential and embrace the chance to drive meaningful outcomesthat'llelevate your career. Your role will include, butisn'tlimited to:

  • Data Engineering & Pipeline Development

  • Architect, design, and develop robust, end-to-end data pipelinesutilizingAzure Data Factory, Azure Databricks, and Azure Synapse Analytics

  • Design and implement data models within Azure Data Lake,leveragingMedallion Architecture and building complex business logic into scalable, efficient transformations

  • Develop processes to ingest data from a wide variety of sources, including relational databases (SQL, Oracle), APIs, flat files, and project management systems

  • Automate data workflows and implement CI/CD practices for data pipelines using Azure DevOps or GitHub Actions to ensure quality and rapid deployment

  • Monitor, troubleshoot, andoptimizedata solutions for performance, scalability, and cost-effectiveness

  • Proactivelyidentifyand resolve performance bottlenecks in data pipelines, data partitioning strategies, and cost-control measures across Azure data services

  • Lead the development, build, and maintenance of internal tools and applications using Python, including Generative AI modules, automation scripts, and data processing pipelines to enhance the team's advisory capabilities on capital projects

  • Design, develop, andmaintaincustom web-based dashboards and interactive reporting tools using HTML, CSS, JavaScript, and Python-based frameworks (e.g., Flask, Dash,Streamlit)

  • Integrate AI-driven solutions into project advisory workflows (e.g., document analysis, benchmarking, risk identification, schedule analytics)

  • Ensure data quality, integrity, and governance by implementing best practices, data validation checks, and robust documentation

  • Participatein reviewingand validatingproject schedules and budgets,forecasting ofproject performance, and performing project risk assessments,monitoringand control.

  • Assistin the preparation of proposals and development of opportunities for the CP&I practice

  • Work closely with project advisors, data analysts, and business stakeholders to understand their data requirements and deliver high-quality data solutions

  • Perform site visits and inspections as needed

  • May require work on site, including travel to remote locations

What You'll Bring:

  • Relevant years of experience in data engineering, software development, or a related technical role (internships, co-ops, and academic projects count)

  • Exposure to or interest in capital projects, engineering consulting, project management, or construction management environments is an asset

  • Ability to troubleshoot and problem-solve, with a willingness to work through ambiguous or unfamiliar technical challenges and an openness to learning new tools and adapting how you work

  • Proficiencyor working knowledge of Python with the ability to develop tools, create reusable scripts for data analysis, and build data processing pipelines

  • Familiarity with core Azure data services (e.g., Azure Data Factory, Azure Databricks

  • Understanding of or exposure to data pipeline development concepts, including data warehousing principles, and data lake architectures

  • Working knowledge of SQL with the ability to write queries to extract and transform data from relational databases

  • Experience with front-end web technologies (HTML, CSS, JavaScript) and Python-based dashboard frameworks

  • Interest in or exposure to building Generative AI modules (e.g.,leveragingAPIs such as OpenAI, Anthropic, etc.) and integrating AI-driven solutions into advisory workflows

  • Awareness of Azure security best practices

  • Bachelor's degree in Computer Science, Engineering, Information Technology, or related fieldis ideal

  • MBA orandinterest in obtaining a professional designation (e.g., PMP, P.Eng., etc.) would be an asset

  • Willingness to travel whenrequired

  • Experience with construction claims is a plus

This newly created role reflects our commitment to growth and delivering distinctive value for our clients and stakeholders.

The salary range for this position is $58,400 - $97,500. The posted salary range represents the expected hiring range for PwC locations in major city centres. Given our national recruiting approach, ranges may vary for positions in other locations. At PwC Canada, base salary is determined by your skills, experience, qualifications and work location. In addition to base salary, eligible employees may have opportunities to participate in 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, Budgetary Management, Capital Management (CM), Capital Raising, Cash Flow Analysis, Communication, Contingency Planning, Contract Lifecycle Management, Contractor Management, Cost Estimate Preparation, Cost Management, Cost Reduction, Creativity, Embracing Change, Emotional Regulation, Empathy, Financial Management, Financial Modeling, Financial Risk Management, Inclusion, Intellectual Curiosity, Investment Management {+ 19 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

We'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).

What PwC employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom