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Full Time Azure Data Factory Developer Jobs in Calgary, AB

Finning

Data Engineer II

Calgary, AB · Hybrid

Finning Canada is looking to hire a permanent, fulltime Data Engineer II based either in Surrey ... Factory, Azure Data Lake, and SQL. You will work closely with product, engineering, analytics ...

Data Elephant Inc

Databricks Engineer

Calgary, AB · On-site

Implement Delta Lake patterns (medallion architecture, CDC, data quality) * Integrate Databricks with Azure services such as ADLS, ADF, Azure Key Vault and DevOps/Github * Optimize performance and ...

KPMG

Cloud Solution Architect, Tax

Calgary, AB · On-site

Bachelor's degree in computer science, Engineering, related STEM field or work experience * 3+ ... Data factory, Synapse, Azure SQL, AI\ML, advance analytics, and Kubernetes service * Knowledge of ...

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 ...

New

360training

DevOps Engineer (Canada)

Calgary, AB · On-site

Build, manage, and maintain Azure infrastructure using Infrastructure-as-Code (Bicep, Terraform ... Partner with Development, QA, and Data teams to support reliable, automated deployments across ...

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 ...

Autodesk

Senior Software Developer Manager

Calgary, AB

CA$156K - CA$228K/yr

... Azure, GCP) and modern DevOps practices * Strong understanding of data-intensive systems and ... smartest factories and biggest hit movies. We help innovators turn their ideas into reality ...

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

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 ...

Olsen Consulting

Senior Developer

Calgary, AB · Remote

We are committed to driving impactful changes through data analytics and technology, harnessing our ... Azure Cloud, CI/CD pipelines, Docker Nice-to-Have Skills - Experience with frontend frameworks ...

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All JobsAzure Data Factory Developer JobsFull Time Azure Data Factory Developer JobsFull Time Azure Data Factory Developer Jobs in Calgary, AB

Full Time Azure Data Factory Developer information

What does a Full Time Azure Data Factory Developer do?

A Full Time Azure Data Factory Developer is responsible for designing, developing, and maintaining data integration solutions using Microsoft Azure Data Factory. They build and manage data pipelines to extract, transform, and load (ETL) data from various sources into cloud-based data storage or analytics platforms. Their role involves collaborating with data engineers, analysts, and other stakeholders to ensure efficient and reliable data workflows. They also optimize data processes to enhance performance, troubleshoot issues, and ensure security and compliance standards are met.

What are the key skills and qualifications needed to thrive as a Full Time Azure Data Factory Developer, and why are they important?

To thrive as a Full Time Azure Data Factory Developer, you need expertise in data integration, ETL processes, SQL, and a strong understanding of Azure cloud services, typically supported by a degree in computer science or a related field. Experience with Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, and relevant certifications like Microsoft Certified: Azure Data Engineer Associate are highly valuable. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for collaborating with stakeholders and troubleshooting complex data workflows. These competencies ensure secure, efficient, and scalable data solutions that drive business intelligence and analytics initiatives.

What are some common challenges Full Time Azure Data Factory Developers face when integrating data from multiple sources?

Full Time Azure Data Factory Developers often encounter challenges such as handling varying data formats, ensuring data consistency, and managing real-time versus batch data loads when integrating information from multiple sources. Additionally, troubleshooting pipeline failures and optimizing data flows for performance can require strong problem-solving skills. Collaboration with data architects, database administrators, and business analysts is crucial to address these challenges and ensure that data integration processes align with organizational goals.

What is the difference between Full Time Azure Data Factory Developer vs Data Engineer?

AspectFull Time Azure Data Factory DeveloperData Engineer
Primary FocusDesigning, developing, and maintaining data pipelines using Azure Data FactoryBuilding, optimizing, and managing data infrastructure and pipelines across various platforms
Required SkillsAzure Data Factory, SQL, ETL processes, cloud servicesSQL, Python, Spark, cloud platforms, data modeling
CertificationsAzure Data Engineer Associate, Azure certificationsGoogle Cloud, AWS, or Azure certifications, depending on platform
Work EnvironmentCloud-based data projects within organizations using AzureBroader data infrastructure projects across multiple platforms

While both roles involve data pipeline development, the Full Time Azure Data Factory Developer specializes in Azure Data Factory and cloud-based ETL processes, whereas the Data Engineer has a broader scope, working with various tools and platforms to build comprehensive data solutions.

What are the most commonly searched types of Azure Data Factory Developer jobs in Calgary, AB? The most popular types of Azure Data Factory Developer jobs in Calgary, AB are:
What are popular job titles related to Full Time Azure Data Factory Developer jobs in Calgary, AB? For Full Time Azure Data Factory Developer jobs in Calgary, AB, the most frequently searched job titles are:
What job categories do people searching Full Time Azure Data Factory Developer jobs in Calgary, AB look for? The top searched job categories for Full Time Azure Data Factory Developer jobs in Calgary, AB are:
Full Time Azure Data Factory Developer jobs near you

Data Engineer II

Finning

Calgary, AB • Hybrid

Full-time

Posted 14 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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