What Jobs are available for Data Engineer in Mississauga?

**The Junior Big Data Engineer is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead applications systems analysis and programming activities.**
**Responsibilities:**
**Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements**
**Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards**
**Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint**
**Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation**
**Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals**
**Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions**
**Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary**
**Appropriately assess risk when business decisions are made, demonstrating consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.**
**Qualifications:**
**Data Pipeline Development: Design, build, and maintain scalable ETL/ELT pipelines to ingest, transform, and load data from multiple sources.**
**Big Data Infrastructure: Develop and manage large-scale data processing systems using frameworks like Apache Spark, Hadoop, and Kafka.**
**Proficiency in programming languages like Python, or Scala.**
**Strong expertise in data processing frameworks such as Apache Spark, Hadoop.**
**Expertise in Data Lakehouse technologies (Apache Iceberg, Apache Hudi, Trino)**
**Experience with cloud data platforms like AWS (Glue, EMR, Redshift), Azure (Synapse), or GCP (BigQuery).**
**Expertise in SQL and database technologies (e.g., Oracle, PostgreSQL, etc.).**
**Experience with data orchestration tools like Apache Airflow or Prefect.**
**Familiarity with containerization (Docker, Kubernetes) is a plus**
**Good to Have Skills:**
**Distributed caching solutions (Hazelcast or Redis)**
**Prior experience with building distributed, multi-tier applications is highly desirable.**
**Experience with building apps which are highly performant and scalable will be great**
**Education:**
**Bachelor's degree/University degree or equivalent experience**
**Master's degree preferred**
**This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.**
---
**Job Family Group:**
Technology
---
**Job Family:**
Applications Development
---
**Time Type:**
Full time
---
**Primary Location Full Time Salary Range:**
$79,320.00 - $110,680.00
---
**Most Relevant Skills**
Please see the requirements listed above.
---
**Other Relevant Skills**
For complementary skills, please see above and/or contact the recruiter.
---
_Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._
_If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review_ _Accessibility at Citi ( _._
_View Citi's_ _EEO Policy Statement ( _and the_ _Know Your Rights ( _poster._
Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.

**The Lead Big Data Engineer is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead applications systems analysis and programming activities.**
**Responsibilities:**
**Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements**
**Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards**
**Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint**
**Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation**
**Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals**
**Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions**
**Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary**
**Appropriately assess risk when business decisions are made, demonstrating consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.**
**Qualifications:**
**Data Pipeline Development: Design, build, and maintain scalable ETL/ELT pipelines to ingest, transform, and load data from multiple sources.**
**Big Data Infrastructure: Develop and manage large-scale data processing systems using frameworks like Apache Spark, Hadoop, and Kafka.**
**6+ years of proficiency in programming languages like Python, or Scala.**
**Strong expertise in data processing frameworks such as Apache Spark, Hadoop.**
**Expertise in Data Lakehouse technologies (Apache Iceberg, Apache Hudi, Trino)**
**Experience with cloud data platforms like AWS (Glue, EMR, Redshift), Azure (Synapse), or GCP (BigQuery).**
**Expertise in SQL and database technologies (e.g., Oracle, PostgreSQL, etc.).**
**Experience with data orchestration tools like Apache Airflow or Prefect.**
**Familiarity with containerization (Docker, Kubernetes) is a plus**
**Good to Have Skills:**
**Distributed caching solutions (Hazelcast or Redis)**
**Prior experience with building distributed, multi-tier applications is highly desirable.**
**Experience with building apps which are highly performant and scalable will be great**
**Education:**
**Bachelor's degree/University degree or equivalent experience**
**Master's degree preferred**
**This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.**
---
**Job Family Group:**
Technology
---
**Job Family:**
Applications Development
---
**Time Type:**
Full time
---
**Primary Location Full Time Salary Range:**
$120,800.00 - $170,800.00
---
**Most Relevant Skills**
Please see the requirements listed above.
---
**Other Relevant Skills**
For complementary skills, please see above and/or contact the recruiter.
---
_Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._
_If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review_ _Accessibility at Citi ( _._
_View Citi's_ _EEO Policy Statement ( _and the_ _Know Your Rights ( _poster._
Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.

Job Description
**The Big Data Engineer is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead applications systems analysis and programming activities.**
**Responsibilities:**
**Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements**
**Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards**
**Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint**
**Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation**
**Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals**
**Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions**
**Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary**
**Appropriately assess risk when business decisions are made, demonstrating consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.**
**Qualifications:**
**Data Pipeline Development: Design, build, and maintain scalable ETL/ELT pipelines to ingest, transform, and load data from multiple sources.**
**Big Data Infrastructure: Develop and manage large-scale data processing systems using frameworks like Apache Spark, Hadoop, and Kafka.**
**Proficiency in programming languages like Python, or Scala.**
**Strong expertise in data processing frameworks such as Apache Spark, Hadoop.**
**Expertise in Data Lakehouse technologies (Apache Iceberg, Apache Hudi, Trino)**
**Experience with cloud data platforms like AWS (Glue, EMR, Redshift), Azure (Synapse), or GCP (BigQuery).**
**Expertise in SQL and database technologies (e.g., Oracle, PostgreSQL, etc.).**
**Experience with data orchestration tools like Apache Airflow or Prefect.**
**Familiarity with containerization (Docker, Kubernetes) is a plus**
**Good to Have Skills:**
**Distributed caching solutions (Hazelcast or Redis)**
**Prior experience with building distributed, multi-tier applications is highly desirable.**
**Experience with building apps which are highly performant and scalable will be great**
**Education:**
**Bachelor's degree/University degree or equivalent experience**
**Master's degree preferred**
**This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.**
---
**Job Family Group:**
Technology
---
**Job Family:**
Applications Development
---
**Time Type:**
Full time
---
**Primary Location Full Time Salary Range:**
$94,300.00 - $141,500.00
---
**Most Relevant Skills**
Please see the requirements listed above.
---
**Other Relevant Skills**
For complementary skills, please see above and/or contact the recruiter.
---
_Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._
_If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review_ _Accessibility at Citi ( _._
_View Citi's_ _EEO Policy Statement ( _and the_ _Know Your Rights ( _poster._
Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.

Job Description
We are seeking a highly skilled and proactive Data Engineer to join our Data Management team, with a focus on optimizing cloud-based analytics infrastructure and mentoring technical analysts. This role is critical to enabling data-driven decision-making by ensuring fast, reliable, and governed access to data across the organization. You will work within a cloud-first environment (primarily AWS) to assess and enhance existing data pipelines, reporting workflows, and architecture-especially those built during a recent ERP transition. You'll also support metadata and master data management initiatives, collaborate across technical and business teams, and help build scalable, secure, and well-governed data solutions.
- Mentor and upskill technical Data Analysts, providing guidance on cloud data engineering best practices.
- Evaluate and optimize existing analytics architecture, workflows, and pipelines-especially those supporting Power BI reporting from AWS Redshift.
- Design, develop, and maintain scalable data pipelines and ETL/ELT workflows for efficient data integration, transformation, and reporting.
- Automate data workflows including validation, monitoring, and CI/CD-based deployments.
- Ensure data quality, consistency, and integrity through validation frameworks and anomaly detection.
- Support metadata management and governance by building connectors and workflows for platforms like Collibra, Informatica, Microsoft Purview, and Ataccama.
- Integrate master data sources (e.g., SAP, Salesforce, Workforce Software) to ensure consistency and a single source of truth.
- Collaborate with architecture leads and business stakeholders to align technical solutions with organizational goals and future capabilities.
- Support migration efforts from legacy dashboards (e.g., Qlik on-prem) to cloud platforms, with a priority on Power BI.
- Contribute to RFPs and platform evaluations for metadata and governance tools.
- Monitor and optimize database performance, storage efficiency, and data processing speed.
- Implement data governance and security at the infrastructure level in compliance with enterprise policies and industry regulations.
Stay current with modern data architecture trends (e.g., Lakehouse, containerization, orchestration)
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: and Requirements
- 3-5 years of hands-on experience in cloud data engineering, with strong expertise in AWS (Redshift, Glue, Lambda, S3, IAM, Step Functions).
- Familiarity with Azure, GCP, and cloud-agnostic architectures to support POCs and evolving platform needs.
- Strong proficiency in SQL (including Spark SQL), Python (PySpark), and Scala.
- Experience with ETL/ELT tools (e.g., AWS Glue, Apache Airflow).
- Experience with big data technologies (e.g., Spark, Redshift, Kafka, Iceberg).
- Experience with NoSQL databases (e.g., DynamoDB, MongoDB).
- Experience managing infrastructure with IaC tools (e.g., Terraform, CloudFormation) and container orchestration (e.g., Docker, Kubernetes).
- Experience designing and implementing CI/CD pipelines using GitHub Actions, SonarQube, etc.
- Solid understanding of cloud monitoring and logging tools (e.g., CloudWatch).
Strong communication and collaboration skills across technical and business teams. - Experience with metadata management and governance platforms (e.g., Collibra, Atlan, Informatica MDM, Microsoft Purview).
- Comfortable providing technical guidance and mentorship to peers and stakeholders.
- Exposure to master data management practices and integration with platforms like SAP, Salesforce, and Snowflake.
- Experience working in ERP transition environments and optimizing rushed reporting setups.
Ability to work independently and make informed decisions with minimal guidance.

Job Description

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 honored to be named a Greater Toronto Top Employer and recognized by Great Place to Work® as having the Best Workplaces for Women , and having one of the Most Trusted Executive Teams , and included on TIME Magazine’s 2025 list of Canada’s Best Companies .  These honors 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.

We are seeking a highly skilled and experienced Senior Data Engineer with deep expertise in Azure Cloud technologies. This individual will play a critical role in designing, developing, and maintaining scalable data architectures on the Azure platform. As a Senior Data Engineer, you will collaborate closely with cross-functional teams, apply your technical proficiency, and contribute to the successful delivery of robust data solutions that support business objectives.

What will you be doing?

• Design and implement scalable, reliable, and high-performance data architectures on the Azure Cloud platform.
• Collaborate with data architects and stakeholders to define data requirements and architecture standards.
• Develop end-to-end data pipelines to ensure efficient and reliable data movement from ingestion to consumption.
• 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 consistency, accuracy, and reliability.
• Implement data integration patterns using Azure services such as Azure Data Factory, Azure Logic Apps, and Azure Functions.
• Ensure compliance with data governance and privacy regulations.
• Monitor data pipeline performance and proactively identify and resolve bottlenecks or issues.
• Apply 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.

What experience do you have?

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• 5+ years of proven experience as a Data Engineer, with a focus on Azure Cloud technologies.
• In-depth knowledge of Azure services such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Storage.
• Extensive experience working with large volumes of structured and unstructured data.
• Strong proficiency in programming languages such as Python and SQL, with familiarity in tools like Spark.
• Hands-on experience in designing, developing, and implementing enterprise data warehousing, ETL, and real-time/batch data exchanges using technologies such as SSIS, Azure Data Factory, Synapse Spark, Azure DevOps, and Databricks.
• Strong SQL skills and a solid understanding of RDBMS and Data Lake concepts.
• Deep knowledge of data warehousing architecture, data mining methodologies, and business intelligence.
• Familiarity with AI and ML solutions is a plus.
• Understanding of data security, compliance, and governance best practices.
• Excellent problem-solving skills and the ability to work independently and collaboratively.
• Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
• Excellent verbal and written communication skills.
• Strong team player with the ability to collaborate across functions.
• Inquisitive and an exceptional analytical and conceptual thinker.
• Self-starter with a proactive mindset.
• Detail-oriented with the ability to manage multiple tasks.
• Committed to delivering results in a fast-paced, dynamic environment.

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.

Why should you work for goeasy?

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…

Financial Benefits:

• Leverage our RRSP match 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. 

Job Description

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.

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 will you be doing?

• 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.

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.

Why should you work for goeasy?

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…

Financial Benefits:

• 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. 

**We need a Senior Data Engineer proficient in Spark, Scala/Java, and Hive, with extensive hands-on development experience in the Big Data Ecosystem.**
**Key Responsibilities:**
**Design, implement, and optimize highly performant data pipelines using Spark, Scala/Java, and Hive on platforms like Cloudera Data Platform (CDP) or other Hadoop echo systems.**
**Take complete ownership of complex data engineering projects within the big data ecosystem, covering the entire lifecycle from initial design and development to deployment and ongoing maintenance.**
**Develop robust and efficient Hive queries for extensive data analysis and reporting.**
**Champion and enforce best practices and coding standards for new and existing data flows to ensure they are robust, scalable, secure, and maintainable using Spark, Scala/Java, and Hive within the big data ecosystem.**
**Diagnose, troubleshoot, and resolve complex issues related to Spark, Scala/Java, and Hive applications and YARN resource management, implementing performance optimization solutions.**
**Proactively collaborate with stakeholders, working closely to develop solutions with full commitment and accountability.**
**Technical Skills & Experience** **:**
**Proven hands-on development expertise with Apache Spark**
**Strong programming proficiency in Scala and/or Java**
**In-depth knowledge and practical experience with Hive, including query optimization and data analysis.**
**Experience with data platforms such as Cloudera Data Platform (CDP) is highly desirable.**
**Education:**
**Bachelor's / Master's degree/University degree or equivalent experience**
---
**Job Family Group:**
Technology
---
**Job Family:**
Applications Development
---
**Time Type:**
Full time
---
**Primary Location Full Time Salary Range:**
$94,300.00 - $141,500.00
---
**Most Relevant Skills**
Please see the requirements listed above.
---
**Other Relevant Skills**
For complementary skills, please see above and/or contact the recruiter.
---
_Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._
_If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review_ _Accessibility at Citi ( _._
_View Citi's_ _EEO Policy Statement ( _and the_ _Know Your Rights ( _poster._
Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.

**The Big Data and SQL Developer is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead applications systems analysis and programming activities.**
**Responsibilities:**
**This role balances hands-on technical work with strategic influence, mentorship, and vital stakeholder engagement:**
**Technical Design & Implementation (60-70%):**
**Architecture & Design:** **Lead the design and implementation of highly scalable, robust, and performant Big Data solutions, including data warehouses, streaming platforms, and analytical systems.**
**Hands-on Development:** **Write high-quality, production-ready code for complex data pipelines, processing frameworks, and analytical tools using languages like Scala, Python, or Java.**
**Performance Optimization:** **Drive performance tuning, troubleshooting, and optimization of Big Data applications and infrastructure.**
**Technical Problem Solving:** **Act as a go-to expert for resolving complex technical challenges across the Big Data ecosystem.**
**Innovation:** **Research, evaluate, and integrate new Big Data technologies and tools to enhance existing platforms and capabilities.**
**Best Practices:** **Champion and enforce engineering best practices, including code quality, testing, CI/CD, and documentation.**
**Technical Leadership & Mentorship (15-20%):**
**Technical Guidance:** **Provide technical leadership and guidance to multiple engineering teams, ensuring alignment with architectural principles and strategic goals.**
**Mentorship:** **Mentor senior and junior engineers, fostering their technical growth, problem-solving skills, and adherence to best practices.**
**Code Review & Quality Assurance:** **Lead comprehensive code reviews, ensuring high standards of code quality, efficiency, and maintainability.**
**Strategic Input:** **Contribute significantly to the Big Data strategy and roadmap, influencing technical decisions and long-term planning.**
**Knowledge Sharing:** **Drive initiatives for knowledge sharing, technical documentation, and community building within the Big Data engineering group.**
**Recruitment Support:** **Participate in interviewing and evaluating senior technical candidates.**
**Stakeholder Management & Client Engagement:**
**Client & Business Partner Liaison:** **Act as a key technical liaison between the Big Data engineering team and internal business units, product managers, and clients.**
**Requirements Gathering:** **Proactively engage with stakeholders to understand business requirements, pain points, and opportunities, translating them into clear, actionable technical specifications and data solutions.**
**Technical Consultation:** **Provide expert technical consultation and guidance to clients and business partners on Big Data capabilities, limitations, and potential solutions.**
**Query Resolution:** **Assist clients and internal stakeholders with complex data queries, troubleshooting data discrepancies, and providing insights derived from Big Data platforms.**
**Communication:** **Effectively communicate complex technical concepts, project progress, risks, and solutions to non-technical audiences, ensuring transparency and alignment.**
**Cross-Functional Collaboration:** **Collaborate seamlessly with other teams (e.g., architecture, data sourcing) to ensure end-to-end delivery and support of data-driven initiatives.**
**Leadership, Communication & Interpersonal Skills:**
**Exceptional problem-solving and analytical skills, with the ability to tackle highly complex technical and business challenges.**
**Strong architectural thinking and the ability to design solutions that are scalable, maintainable, and resilient.**
**Excellent verbal and written communication skills, with a proven ability to tailor technical explanations to diverse audiences, from engineers to senior business stakeholders and external clients.**
**Demonstrated ability to build consensus, manage expectations, and influence outcomes with various stakeholders.**
**Experience in mentoring and coaching other engineers.**
**Proactive, self-motivated, and able to work effectively in a fast-paced, agile environment, often juggling multiple priorities.**
**Education:**
**Bachelor's degree/University degree or equivalent experience**
**Master's degree preferred**
**Experience:**
**6+ years** **of progressive experience in software engineering, specifically focused on designing, building, and optimizing large-scale Big Data systems.**
**Proven track record as a lead or principal engineer on significant data initiatives, demonstrating ability to drive technical projects from conception to deployment.**
**Significant experience in client-facing or business partner-facing roles, with a proven ability to manage expectations, resolve issues, and build strong relationships.**
**Experience in the financial services domain - Liquidity Management, Liquidity Stress Modelling, should be well verse with Markets terminologies. Also, experience with large data volumes, real-time processing, and stringent data quality/security requirements.**
**Deep Technical Proficiency:**
**Core Big Data Frameworks:** **Expert-level proficiency with Apache Spark (Spark SQL, Spark Streaming, PySpark/Scala Spark), Hadoop ecosystem (HDFS, YARN).**
**Programming Languages:** **Expert in Scala, Python, or Java, with experience in developing robust, high-performance data processing applications.**
**Data Warehousing/Lakes:** **Deep understanding and practical experience with data warehouse models, and relevant technologies (e.g., Delta Lake, Iceberg, Parquet).**
**Databases:** **Strong proficiency in SQL; experience with NoSQL databases (e.g., Cassandra, MongoDB) is a plus.**
**DevOps & MLOps:** **Experience with CI/CD pipelines (e.g., Jenkins, GitLab CI), infrastructure as code (e.g., Terraform), containerization (Docker, Kubernetes/OpenShift), and monitoring tools. Familiarity with MLOps principles for data science workflows.** **Data Governance & Security:** **Solid understanding of data governance, data quality, data lineage, and data security principles in a Big Data environment.**
---
**Job Family Group:**
Technology
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**Job Family:**
Applications Development
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**Time Type:**
Full time
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**Primary Location Full Time Salary Range:**
$120,800.00 - $170,800.00
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**Most Relevant Skills**
Please see the requirements listed above.
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**Other Relevant Skills**
For complementary skills, please see above and/or contact the recruiter.
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_Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._
_If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review_ _Accessibility at Citi ( _._
_View Citi's_ _EEO Policy Statement ( _and the_ _Know Your Rights ( _poster._
Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.

Job Description

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.

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.

We are seeking a Data QA Engineer to join our Data Engineering team. You will be responsible for ensuring data accuracy, reliability, and quality across our data pipelines and integrations. You will work closely with Data Engineers, DevOps, and Business Analysts to design and execute comprehensive testing strategies for ETL workflows, data transformations, and reporting solutions. This role focuses on automation, validation, and monitoring to deliver high-quality, production-ready data.

What will you be doing?

• Design, develop, and execute data testing strategies to ensure accuracy and consistency across ETL pipelines.
• Perform end-to-end data validation including schema checks, transformation rules, and business logic testing.
• Collaborate with Data Engineers to identify data quality gaps and improve processes.
• Build and maintain test automation frameworks for ETL, APIs, and data integration workflows.
• Conduct root cause analysis of data anomalies and recommend fixes in collaboration with engineers.
• Implement data quality rules and validation checks within tools like Azure Data Factory, Databricks, and Synapse.
• Partner with DevOps teams to automate testing in CI/CD pipelines using Azure DevOps.
• Monitor data pipelines, proactively identify issues, and drive resolution before impacting stakeholders.
• Ensure compliance with data governance and security policies.
• Maintain thorough documentation of testing procedures, test cases, and validation reports.
• 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, infrastructure teams, including analysts, and business stakeholders.

What experience do you have?

• Bachelor’s degree in computer science, Information Technology, or a related field.
• 4+ years of experience in Data Quality Assurance, ETL testing, or data pipeline validation.
• Strong expertise in SQL for writing complex queries, joins, and data validation scripts.
• Experience with Azure Data Factory, Synapse, Databricks, on-premises (SSIS) and other cloud-based data platforms.
• Hands-on experience with test automation frameworks and scripting languages like Python or PowerShell.
• Familiarity with CI/CD pipelines using Azure DevOps or similar tools.
• Knowledge of data warehousing, data lakes, and relational database concepts.
• Strong problem-solving skills and attention to detail.
• Excellent communication skills with the ability to collaborate across engineering and business team

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.

Why should you work for goeasy?

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…

Financial Benefits:

• 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.