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Internship Azure Data Engineer Jobs in Edmonton, AB

Finning

Data Engineer II

Edmonton, AB · Hybrid

... Azure Data Lake, and SQL. You will work closely with product, engineering, analytics ... infrastructure, security, and business teams to keep critical data services stable, performant ...

Lantern

Data Architect

Edmonton, AB

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 ...

Blend360

AI and Data Engineer

Edmonton, AB

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 ...

Connect First Credit Union

Data Architect

Edmonton, AB · Remote

Azure Data Engineer Associate) * Architecture Process Training or Certifications (eg: TOGAF ® ) Other Role Requirements: * Work arrangement: Remote first * Occasional travel to Edmonton, Calgary, or ...

TELUS

L3 Data Management (GCP)

Edmonton, AB · On-site +1

At TELUS, the Data and AI Insights team is dedicated to making TELUS the most insights-driven ... Experience with Azure or AWS * Bachelor's degree in Computer Engineering, Computer Science, or a ...

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 ...

Fleetworthy

Software Engineer

Edmonton, AB

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 ...

National Bank

Senior Data Scientist

Edmonton, AB · On-site

Perform exploratory data analysis, feature engineering, model experimentation, and communicate ... Azure, and production deployment practices. Your benefits In addition to competitive compensation ...

TELUS

AI Lead/Developer

Edmonton, AB

... generation of AI engineers, and transform finance operations. Join our team and what we'll ... Advanced data handling and ETL skills, including Cloud Platforms (GCP, Azure), SQL, Data Modeling ...

Lifeworks

Data Conversion Lead

Edmonton, AB

The Data Conversion Lead is responsible for coordinating all activities related to the integration ... Experience with Azure DevOps, Microsoft Office, Visual Studio * Experience with pension plan and ...

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All JobsAzure Data Engineer JobsInternship Azure Data Engineer JobsInternship Azure Data Engineer Jobs in Edmonton, AB

Internship Azure Data Engineer information

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

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 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 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 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 are popular job titles related to Internship Azure Data Engineer jobs in Edmonton, AB? For Internship Azure Data Engineer jobs in Edmonton, AB, the most frequently searched job titles are:
What job categories do people searching Internship Azure Data Engineer jobs in Edmonton, AB look for? The top searched job categories for Internship Azure Data Engineer jobs in Edmonton, AB are:
What cities near Edmonton, AB are hiring for Internship Azure Data Engineer jobs? Cities near Edmonton, AB with the most Internship Azure Data Engineer job openings:
Internship Azure Data Engineer jobs near you

Data Engineer II

Finning

Edmonton, AB • Hybrid

Full-time

Posted 25 days ago

Job description

Company:Finning International Inc.Number of Openings:1Worker Type:PermanentPosition Overview:Data is deeply embedded in the product, engineering, analytics, and operational culture at Finning.
Finning Canada is looking to hire a permanent, fulltime Data Engineer II based either in Surrey, Calgary or Edmonton who will work as a part of the Software Development Services (SDS) Tier 4 support team, you will provide advanced production support for reliable, scalable, secure, and AI-ready data solutions. This role is focused on monitoring, troubleshooting, incident resolution, service request fulfilment, operational readiness, and continuous improvement across modern data processing and storage platforms, including Snowflake, Databricks, Azure Data Factory, Azure Data Lake, and SQL.
You will work closely with product, engineering, analytics, infrastructure, security, and business teams to keep critical data services stable, performant, secure, and supportable.
Why Join Finning?
Global exposure across treasury, capital markets, and risk
Strong career progression opportunities within finance
Collaborative, supportive, and high-performing team
Hybrid work model: 2-to-3 days/week in office
Competitive compensation: $80,000 - $95,000 base + bonus + benefitsJob Description:

Responsibilities

  • Provide Tier 4 production support for data platforms, pipelines, integrations across Snowflake, Databricks, Azure Data Factory, Azure Data Lake, and SQLdatabases.

  • Triage, investigate, resolve, and document incidents, service requests, defects, data quality issues, performance problems, failed jobs, and access-related requests.

  • Support Snowflake operations including databases, schemas, warehouses, roles, access patterns, query troubleshooting, performance tuning, cost awareness, secure data sharing, and operational governance.

  • Perform root cause analysis, contribute to problem management, and recommend preventive actions to reduce recurring incidents and improve service reliability.

  • Create and maintain support documentation, runbooks, knowledge articles, recovery procedures, escalation paths, and operational handover materials.

  • Use AI-assisted tools responsibly to accelerate support activities such as log analysis, query troubleshooting, documentation, ticket summarization, anomaly detection, and knowledge discovery while maintaining privacy, security, and quality standards.

  • Collaborate with development and engineering teams on fixes, releases, change validation, operational acceptance, deployment readiness, and post-release support.

  • Drive continuous improvement in monitoring, alerting, automation, support processes, incident response, access management, data quality checks, and operational stability.

We'd love to hear from you if you have

  • At least 4years ofpractical experiencedevelopment and/orsupporting production data platforms, data pipelines, integrations, and operational data services using Snowflake, Databricks, Azure Data Factory, Azure Data Lake, SQL, and modern ELT/ETL patterns.

  • Hands-on experience troubleshooting Snowflake workloads, including SQL queries, warehouses, schemas, roles, permissions, performance, data loads, and operational failures.

  • Strong SQL skills with the ability to investigate data discrepancies, failed jobs, slow queries, access issues, and production incidents.

  • Experience working with monitoring, alerting, logging, job scheduling, data quality checks, and operational dashboards for data platforms and pipelines.

  • Good understanding ofsupportpractices including incident management, request fulfilment, change support, problem management, root cause analysis, escalation, and knowledge management.

  • Working knowledge of Python, PySpark, scripting, Git, CI/CD concepts, and automation practices sufficient to troubleshoot and support production data solutions.

  • Awareness of how AI can be used responsibly to improve data support activities, including ticket triage, log analysis, anomaly detection, documentation, and operational knowledge discovery.

  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or equivalent practical experience.

  • Excellent communication skills, strong ownership, customer focus, analytical troubleshooting ability, attention to detail, and a proactive team-oriented mindset.

At Finning, we prioritize creating a diverse and inclusive environment. We are proud to be an equal opportunity employer, and we actively encourage all individuals to express themselves and achieve their full potential. As a company, we continuously strive to enhance our outreach to individuals of all backgrounds and identities. We do notdiscriminate against applicants based on gender identity, race, national and ethnic origin, religion, age, sexual orientation, marital and family status, and/or mental or physical disabilities.Furthermore, Finning is committed to collaborating with and providing reasonable accommodations /adjustments to individuals with disabilities. If you require an adjustment/accommodation at any point during the recruitment process, please inform your recruiter.

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