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Trainee Azure Data Factory Developer Jobs in Calgary, AB

Finning

Data Engineer II

Calgary, AB · Hybrid

... 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 ...

Enfinite

Data Engineer, Digital Systems

Calgary, AB · Hybrid

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 ...

BrokerLink

Databricks Platform Engineer

Calgary, AB · On-site

Solid understanding of Azure cloud services (e.g., Azure Data Lake, Azure Synapse Analytics, Entra, Azure DevOps). * Proficiency with Infrastructure as Code using Terraform (preferred), and ...

Ecolab

Factory Test Specialist

Calgary, AB

Bachelor's degree in electrical Engineering, or a related technical field * Minimum of 3 year of ... Strong analytical skills with the ability to interpret and act on complex data sets * Excellent ...

PwC

AI Developer, Senior Associate

Calgary, AB · On-site

CA$87K - CA$137K/yr

We turn enterprise data into AIpowered outcomes to support decisionmaking, automate workflows, and ... Proven experience designing, developing, and deploying cloud-native applications on Azure ...

ShyftLabs

Data Engineer

Calgary, AB

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

Mount Royal University

Data Engineer

Calgary, AB · On-site

... broader Azure ecosystem. The role will be tasked with architecting complex data pipelines ... The ideal candidate brings a deep technical mastery of SQL, DevOps, Git, Spark, Python, dataflows ...

Posted today

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 ...

New

Krux Analytics

Data Architect

Calgary, AB · On-site

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

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Trainee Azure Data Factory Developer jobs near you
Infographic showing various Trainee Azure Data Factory Developer job openings in Calgary, AB as of June 2026, with employment types broken down into 49% Full Time, 2% Part Time, 1% Temporary, and 48% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Data Engineer II

Finning

Calgary, AB • Hybrid

Full-time

Re-posted 4 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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