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.
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.
Are you a highly skilled and experienced Data Engineer with strong expertise in Azure Cloud technologies, SQL, and SSIS? As our next Data Engineer, you will play a key role in designing, developing, and maintaining our data architecture on both on-premises (SSIS) and Azure platforms. You will collaborate with cross-functional teams, leverage your technical proficiency, and contribute to the successful implementation of data solutions.

WHAT EXPERIENCE DO YOU HAVE?

• Bachelor’s degree in computer science, Information Technology, or a related field.
• Proven experience (4+ years) as a Data Engineer, with a strong focus on Azure Cloud technologies.
• In-depth knowledge of Azure services such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Storage.
• 4+ years of experience working with large volumes of structured and unstructured data.
• Strong proficiency in SQL, with extensive experience writing complex queries and optimizing database performance.
• Hands-on experience designing, developing, and implementing Enterprise Data Warehousing, ETL, and real-time/batch data exchanges using SSIS, Azure Data Factory, Synapse Spark, and Databricks.
• Strong knowledge of RDBMS, Data Lake concepts, and data warehousing architecture.
• Familiarity with data security, compliance, and governance best practices.
  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.

• Design and implement scalable, reliable, and high-performance data architectures on the Azure Cloud platform.
• Collaborate with data architects and other stakeholders to define data requirements and architecture standards.
• Develop end-to-end data pipelines, ensuring efficient and reliable data movement across various stages, from ingestion to consumption.
• Leverage SSIS for on-premises ETL development and integration with Azure-based solutions.
• Write complex SQL queries for data extraction, transformation, and reporting purposes.
• Utilize Azure Data Factory, Azure Databricks, and other relevant services to orchestrate and optimize data workflows.
• Design and implement data models that support business requirements and enable efficient querying and analysis.
• Optimize data storage and retrieval processes for performance and cost-effectiveness.
• Integrate diverse data sources into a unified data platform, ensuring data consistency, accuracy, and reliability.
• Implement data integration patterns using Azure services such as Azure Data Factory, Azure Logic Apps, and Azure Functions.
• Write complex SQL queries for data extraction, transformation, and reporting purposes.
• Ensure compliance with data governance and privacy regulations.
• Monitor data pipeline performance and proactively identify and resolve bottlenecks or issues.
• Implement performance tuning strategies to optimize data processing and reduce latency.
• Collaborate with cross-functional teams, including analysts and business stakeholders.
• Document data engineering processes, data flows, and system architecture for knowledge sharing and future reference.