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Senior Data Engineer

Join a Challenger


Being a traditional bank just isn’t our thing. We are big believers in innovating the banking experience because we believe Canadians deserve better options, and we challenge ourselves and our teams to creatively transform what’s possible in banking. Our team is made up of inquisitive and agile minds that find smarter ways of doing things. If you’re not afraid of taking on big challenges and redefining the future, you belong with us. You’ll get to work with people who will encourage you to reach new heights. We like to keep things fun, ask questions and learn together.

 

We are a big (and growing!) family. Overall we serve more than 670,000 people across Canada through Equitable Bank, Canada's Challenger Bank™, and have been around for more than 50 years. Equitable Bank's wholly-owned subsidiary, Concentra Bank, supports credit unions across Canada that serve more than six million members. Together we have over $125 billion in combined assets under management and administration, with a clear mandate to drive change in Canadian banking to enrich people's lives. Our customers have named our EQ Bank digital platform (eqbank.ca) one of the top banks in Canada on the Forbes World's Best Banks list since 2021. 



The work
  • The Senior Data Engineer, Enterprise Data Management will have the responsibility for the design and maintenance of enterprise data warehouse for various projects, as well as providing on-going support for activities impacting all enterprise databases. They will be working in a high preforming team to design, build, optimize, and maintain innovative solutions on Microsoft Azure’s Data Platform, using cutting-edge Cloud services. In addition, the incumbent will be accountable for ensuring the integrity of data, allowing for effective, accurate and timely generation of all enterprise reports.


The core responsibilities

1. Business Analysis (40%)
  • Participate in Joint Application Development sessions with business units to gather and understand their data and reporting requirements
  • Support key data architecture and design decisions for data platform and pipelines modernization
  • Gather technical requirements, assess compatibility, and analyze findings to provide appropriate Cloud solution recommendations

2. Building and Designing of Data Pipelines (20%)
  • Develop Proof of Concept (POC) to validate and influence solution proposed for data migration
  • Design and test the end-to-end process for data ingestion, data transformation, data cleansing, data delivery, data quality and data timeliness
  • Explore new tools and opportunities for re-designing of existing data infrastructure to improve scalability and performance
  • Assist with data-related technical challenges and perform root-cause analysis
  • Document policies and best practices
  • Create and maintain technical documentations for tools, deployment and procedures

3. Reporting and Data Analytics (20%)
  • Conceptualizing, designing, and developing analytical solutions as required.
  • Design and write automated SQL Jobs/Scripts to perform a variety of functions
  • Ensure Documentation of all reporting and related processes is in place and kept current
  • Develop and implement data analyses, data collection systems and other strategies that optimize the efficiency and quality, including the acquisition of data from the different data sources

4. Data Strategy (10%)
  • Provide inputs and assist in enablement of Cloud based data and analytics
  • Develop and recommend innovative approaches to solve business and technical problems in the data and analytics domain
  • Work and collaborate with the larger team to exchange knowledge, solutions and practices to build a more consistent, robust approach to development

5. Support and Maintenance of Enterprise Data Warehouse (10%)
  • Continuously improve performance and proactively identify and resolve bottlenecks that will reduce time to build and deliver our products
  • Provide data related technical support for downstream applications


Let's talk about you!!
  • Bachelor's degree or equivalent in the field of Computer Science or Engineering
  • 3+ years of related work experience in Data Engineering in Cloud Data Warehouse environment (Azure, AWS or GCP)
  • 3+ years of development experience in Python, SQL and Cloud Shell
  • Experience in designing, building and testing data pipelines for integrating multiple sources into a centralized data platform or Enterprise Data Warehouse
  • Experience with Azure Big data technologies (Azure Data Lake, Azure Data Factory, Azure Data Bricks, Azure Synapse)
  • Experience in working with structured, semi-structured and unstructured data
  • Understanding of data transformation practices (ETL, ELT, data modeling and data warehousing)
  • Experience in identifying and defining data gaps and challenges during data migration efforts of system implementations
  • Excellent written and verbal communication skills
  • Excellent multi-tasking and organizational skills
  • Excellent problem solving and analytical thinking skills
  • Excellent interpersonal skills

Nice-to-have
  • Microsoft Certified: Azure Data Engineer Associate or Azure Solutions Architect Expert
  • Experience in building and optimizing ‘big data’ data pipelines
  • Experience in writing Stored Procedures, Secure coding with safeguards against SQL injection attacks
  • Experience in writing data quality routines for cleansing of data and capturing confidence score
  • DAMA Certified Data Management Professional (CDMP)
  • ISACA Certified Enterprise Data Management Associate
  • Familiarity with ITIL and IT service management best practices
  • Project/Program/Portfolio management experience
  • Experience working in financial industry
  • Experience with CMMI Data Maturity Model


What we offer [For full-time permanent roles]

 

💰 Competitive discretionary bonus 

✨ Market leading RRSP match program

🩺  Medical, dental, vision, life, and disability benefits

📝  Employee Share Purchase Plan

👶🏽 Maternity/Parental top-up while you care for your little one

🏝 Generous vacation policy and personal days 

🖥  Virtual events to connect with your fellow colleagues

🎓  Annual professional development allowance and a comprehensive Career Development program

💛  A fulfilling opportunity to join one of the top FinTechs and help create a new kind of banking experience


The incumbent will be working hybrid and in office time will be spent working from Equitable Bank’s additional office space located at 351 King Street East, Toronto, ON.

  

Equitable Bank is deeply committed to inclusion. Our organization is stronger and our employees thrive when we honour and celebrate everyone’s diverse experiences and perspectives. In tandem with that commitment, we support and encourage our staff to grow not just in their career path, but personally as well. 


We commit to providing a barrier-free recruitment process and work environment for all applicants. Please let us know of any accommodations needed so that you can bring your best self to the application process and beyond. All candidates considered for hire must successfully pass a criminal background check and credit check to qualify for hire. While we appreciate your interest in applying, an Equitable recruiter will only contact leading candidates whose skills and qualifications closely match the requirements of the position.

 

We can’t wait to get to know you! 

Average salary estimate

$105000 / YEARLY (est.)
min
max
$90000K
$120000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

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Full-time, hybrid
DATE POSTED
April 25, 2025

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