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goeasy Ltd.

Data Operations Engineer

Mississauga, ON, Canada

Job type: Full-time
Apply by: Nov 1, 2026
Posting language: English
Posted: Oct 2, 2026

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Original job description

Join one of Canada’s fastest-growing companies and be part of something extraordinary – welcome to goeasy! At goeasy, our people and culture are at the heart of everything we do, and we’re proud to be recognized for it. We’ve earned prestigious accolades such as Waterstone Canada’s Most Admired Corporate Cultures, Canada’s Top Growing Companies, and the TSX30, highlighting us as one of the top performers on the TSX. We’re also honoured to be named a Greater Toronto Top Employer and recognized by Great Place to Work® as having the Best Workplaces for Women & Most Trusted Executive Teams, and included on TIME Magazine’s 2025 list of Canada’s Best Companies.  These honours reflect our commitment to fostering an inclusive, high-performance culture where talent thrives and innovation drives us forward.

As one of Canada’s leading alternative consumer lenders, we’re passionate about helping everyday Canadians create a brighter future. Our vision is to provide a path to a better tomorrow, today. We offer a full range of products, including non-prime leasing, unsecured and secured loans, and point-of-sale financing through easyhome, easyfinancial, and LendCare.

If you're seeking an exciting, high-growth environment where your contributions truly matter, we want to hear from you! Join us, and together, let's create a future of financial empowerment.

The Data Operations Engineer is responsible for supporting, maintaining, and continuously improving goeasy's enterprise data platform. This role focuses on ensuring the reliability, performance, and operational health of production data services across Azure Databricks, Azure Data Factory (ADF), SQL Server, Enterprise Data Warehouse (EDW), and Managed File Transfer (SFTP) platforms.

Working under the guidance of the Data Operations Team Lead, the successful candidate will support business-critical data workloads, troubleshoot production issues, onboard new data sources, deliver data and reporting requests, and contribute to the ongoing evolution of the organization's data ecosystem.

What will you be doing?

Support and maintain production data workloads across Azure Databricks, Azure Data Factory, Azure Data Lake Storage, SQL Server, Enterprise Data Warehouse, and Managed File Transfer platforms.
Support, maintain, and enhance existing SSIS packages and ETL processes while contributing to the modernization of data integration workloads using Azure Data Factory and Databricks.
Monitor and troubleshoot data pipelines, workflows, integrations, and batch processing activities to ensure reliable and timely delivery of data.
Investigate and resolve production incidents, job failures, data quality issues, performance bottlenecks, and integration challenges.
Analyze and deliver ad-hoc data requests such as small enhancements and reporting requirements in collaboration with BI, Data Engineering and business stakeholders.
Onboard new data sources and integrations from enterprise applications, databases, APIs, vendor platforms, and file-based interfaces.
Support the ongoing evolution and optimization of the Enterprise Data Warehouse and enterprise reporting platforms.
Perform SQL development, troubleshooting, and operational support activities across enterprise SQL Server environments.
Participate in root cause analysis and continuous improvement initiatives to reduce recurring operational issues.
Automate repetitive processes and operational tasks using scripting and cloud-native technologies.
Collaborate with Data Engineering, BI, Infrastructure, Cloud Engineering, and Security teams to ensure reliable and supportable solutions.
Participate in production deployments and validation activities, including outside of business hours.
Ensure solutions comply with security, governance, and change management standards.

What experience do you have?

Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent practical experience.
2-4 years of experience supporting and developing enterprise data solutions, including data warehouses, operational data stores, data integration platforms, and cloud-based data environments.
Hands-on experience with Azure Databricks and strong SQL development skills, including building and supporting solutions on Microsoft SQL Server.
Experience working with ETL/ELT processes, data warehousing concepts, data quality practices, and enterprise data integration frameworks.
Experience supporting APIs, file-based integrations, Managed File Transfer (SFTP) solutions, and upstream/downstream system integrations.
Proven ability to troubleshoot and resolve production incidents, batch processing failures, and complex data integration issues.
Experience working with cloud platforms such as Microsoft Azure or AWS, along with source control and deployment tools including Azure DevOps, Git, or similar technologies.
Strong analytical, problem-solving, and troubleshooting abilities, with the ability to effectively communicate and collaborate with both technical and business stakeholders.
Experience supporting data warehouse modernization, cloud migration, or data platform transformation initiatives within regulated or complex enterprise environments.
Familiarity with Generative AI tools such as GitHub Copilot, Claude Code, Databricks AI capabilities, or similar technologies.
Relevant professional certifications (Azure, AWS, Databricks, or related technologies) are considered an asset.

We offer a Flexible Work Program that provides you the ability to work three days onsite per week, from our Mississauga office.

Internal Applicants: please apply through the link and provide written endorsement from your current manager.

88,00.00 – $104,500.00 CAD (includes base salary and bonus)

We’re committed to attracting and rewarding top talent. Our compensation ranges are thoughtfully designed to reflect market competitiveness, internal equity, and the experience and impact each candidate brings to the role.

At goeasy, we believe transparency fosters trust - and that rewarding performance with fair, competitive pay and meaningful growth opportunities is key to our success.

Should your total compensation expectations fall above the posted range, we still encourage you to apply. If selected for an interview, you’ll have the opportunity to discuss this with our recruitment team, as there may be flexibility based on your background and overall fit. Total compensation includes base salary and bonus.

This posting is for an existing vacancy within our team.

Why should you work for goeasy?

Financial Benefits

In keeping with our mission to create better tomorrows for our employees, each year goeasy commits to continuously enhancing its total rewards. Here are some of the perks we offer:

RRSP matching and Employee Share Purchase Plan programs.
Annual bonus that rewards your hard work and dedication.
Employee discounts on furniture, electronics, and appliances.
MAT & PAT leave top-up.
Expand your financial knowledge through engaging Financial Literacy Learning opportunities.

Health And Lifestyle

Enjoy company-paid volunteer days to give back to the community.
Access 24/7 healthcare with Virtual Doctor Appointments.
Personalize your benefits with a flexible modular benefits package.
Stay fit and energized with exclusive access to our on-site private gym at our head office.

Employee Perks

Fuel your growth with the Tuition Assistance Program.
Double the impact of your generosity with Company Matched Charitable Donations.
Internal development training programs and platforms including job-specific training, career coaching, leadership excellence, mentorship, and many others.
Enjoy a state-of-the-art office space with perks like a games room, a healthy snack program, a fitness studio, free gated parking, and more!

Diversity, Inclusion, And Equal Opportunity Employment

At goeasy, we believe that we can only be the best when people are able to bring their best selves to work every day. goeasy is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. As an equal opportunity employer, we are committed to providing accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process. Please let the talent acquisition team know if you require an accommodation during any aspect of the recruitment process and we will work with you to address your needs. 

Additional Information

All candidates considered for hire must successfully pass a criminal background check, credit check, and validation of their work experience to qualify for hire. We thank all interested applicants; however, we will only be contacting those for interview who possess the skills and qualifications outlined above.

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More about this job

Responsibilities

Support and maintain production data workloads across Azure, SQL Server, the Enterprise Data Warehouse, and file-transfer platforms; troubleshoot incidents, pipeline failures, data quality issues, and performance problems. Onboard data sources, fulfill data and reporting requests, improve and automate operational processes, and collaborate on platform modernization, deployments, and governance.

Requirements

Requires a bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent practical experience, plus 2–4 years supporting and developing enterprise data solutions. Candidates should have hands-on Azure Databricks and SQL Server experience, knowledge of ETL/ELT, data warehousing, integrations, cloud platforms, and source control, along with strong troubleshooting and communication skills.

Skills

Azure Databricks
Azure Data Factory
Azure Data Lake Storage
SQL Server
SQL Development
SSIS
ETL/ELT
Data Warehousing
Data Pipeline Monitoring
Production Incident Troubleshooting
Data Quality
Managed File Transfer
SFTP
API Integrations
Azure DevOps
Git

Benefits

RRSP Matching
Employee Share Purchase Plan
Annual Bonus
Employee Discounts
Maternity and Parental Leave Top-Up
Financial Literacy Learning
Company-Paid Volunteer Days
Virtual Doctor Appointments
Flexible Benefits Package
On-Site Gym
Tuition Assistance
Matched Charitable Donations
Training and Career Development
Career Coaching
Mentorship
Free Gated Parking

Visa sponsorship

Not detected in the job text

Keywords

Azure Databricks
Azure Data Factory
Azure Data Lake Storage
Microsoft SQL Server
Enterprise Data Warehouse
SSIS
ETL
ELT
Data Integration
Data Warehousing
Data Quality
Managed File Transfer
SFTP
APIs
Batch Processing
Production Support
Azure
AWS
Azure DevOps
Git
Generative AI
GitHub Copilot
Claude Code
Databricks AI
Cloud Migration
Data Platform Modernization
Root Cause Analysis
Automation
Change Management
Consumer Lending

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