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Financial Data Engineer Jobs in Toronto, ON (NOW HIRING)

Ensure compliance with financial data standards, including auditability, traceability, and ... Mentor junior engineers and promote best practices in data engineering, DevOps, and CI/CD. What You ...

WHY THIS ROLE IS IMPORTANT TO US This position is for an existing vacancy of Lead Financial Data ... Requirements engineering and data modelling experience, 1-2 years * Experience with EDM platforms ...

Data Engineer III

Toronto, ON

CA$96K - CA$136K/yr

The successful candidate will work closely with FinOps, Finance, Engineering Analytics, Cloud Engineering, Procurement, and Technology leadership to turn complex technology spend data into trusted ...

About FMPFinancial Modeling Prep provides real-time and historical financial market data, fundamentals, and analytics through APIs and developer tools used by fintech companies, investment platforms ...

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Support and Financial Rewards for Publication Awards, Professional Dues, and Professional Licenses

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Support and Financial Rewards for Publication Awards, Professional Dues, and Professional Licenses

Propel (TSX: PRL) is the fintech company building a new world of financial opportunity by ... Partner with Finance, Data Engineering, Analytics, and application teams to resolve data issues ...

New

Senior Financial Data Analyst

Toronto, ON · On-site

CA$88K - CA$133K/yr

WHY THIS ROLE IS IMPORTANT TO US This position is for an existing vacancy of Lead Financial Data ... Requirements engineering and data modelling experience, 1-2 years * Experience with EDM platforms ...

Who we are: Financeit is a point-of-sale financing provider serving some of the largest home ... We are looking for a skilled and detail-oriented Data Engineer to join our growing data team. In ...

We are officially hunting for our next Data Engineer in Vaughan, ON-someone ready to bring fresh ... Employee Assistance Program, life insurance, and paid time-off Financial: RRSP matching, profit ...

Who we are: Financeit is a point-of-sale financing provider serving some of the largest home ... We are looking for a skilled and detail-oriented Data Engineer to join our growing data team. In ...

Who we are: Financeit is a point-of-sale financing provider serving some of the largest home ... We are looking for a skilled and detail-oriented Data Engineer to join our growing data team. In ...

Lead Data Engineer

Toronto, ON · Hybrid

CA$106K - CA$148K/yr

... finance, technology, and beyond. You'll thrive in this position if you're analytical, detail-oriented, and passionate about data quality and engineering excellence in a fast-paced, high-impact ...

At Sun Life, we're driven by our Purpose: helping our Clients achieve lifetime financial security ... Reporting to the Manager of Data Engineering, the Senior Business Data Engineer will be a key ...

At Sun Life, we're driven by our Purpose: helping our Clients achieve lifetime financial security ... Reporting to the Manager of Data Engineering, the Senior Business Data Engineer will be a key ...

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Showing results 1-20

Financial Data Engineer information

See Toronto, ON salary details

$25.3K

$97.7K

$172.3K

How much do financial data engineer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for financial data engineer in Toronto, ON is $97,701.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,189.00 and $123,587.00 per year, depending on experience, location, and employer.

What is a financial data engineer?

A Financial Data Engineer is responsible for designing, building, and optimizing data pipelines that process and analyze financial data. They work with large datasets, databases, and cloud platforms to ensure data is accurate, efficient, and accessible for financial analysts and decision-makers. This role requires expertise in programming languages like Python or SQL, data modeling, and financial domain knowledge. Financial Data Engineers help improve data quality and automate workflows, enabling organizations to make data-driven financial decisions.

What does a financial data engineer do?

As a Financial Data Engineer, you’ll typically design, develop, and maintain pipelines that collect and process large sets of raw financial data for analysis and reporting. You’ll work closely with data scientists, financial analysts, and software engineers to ensure high data quality and seamless integration with downstream applications. Common projects include automating data ingestion from different sources, transforming and warehousing financial datasets, and helping implement analytics or business intelligence platforms. The role often involves troubleshooting data issues, optimizing performance, and supporting strategic business initiatives through actionable data insights. This environment provides excellent opportunities for both technical growth and exposure to the finance industry.

What are the key skills and qualifications needed to thrive as a financial data engineer?

To thrive as a Financial Data Engineer, you need strong programming skills (such as Python or SQL), expertise in data modeling, and a solid understanding of financial systems or markets, typically supported by a degree in computer science, finance, or a related field. Familiarity with tools like AWS, Hadoop, Spark, or Tableau, and relevant certifications such as CFA or data engineering qualifications, are highly valued. Strong problem-solving abilities, analytical thinking, and effective communication skills set top candidates apart in this field. These skills ensure accurate financial data solutions, seamless collaboration with stakeholders, and the ability to adapt to rapidly evolving financial technologies.

What are the most commonly searched types of Financial Data Engineer jobs in Toronto, ON?

The most popular types of Financial Data Engineer jobs in Toronto, ON are:

What job categories do people searching Financial Data Engineer jobs in Toronto, ON look for?

The top searched job categories for Financial Data Engineer jobs in Toronto, ON are:

Infographic showing various Financial Data Engineer job openings in Toronto, ON as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $97,701 per year, or $47 per hour.

Senior Data Engineer with Cloud

Toronto, ON • On-site

Scotiabank
Banking and Credit Intermediation • 10K+ employees

Full-time

Retirement, PTO

Re-posted 10 days ago


Job description

Requisition ID: 257859 
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

The Team

The Global Risk and Treasury Technology team provides development and support services for Group Treasury (including Structural Interest Rate Risk management, Asset/Liability Management, Funds Transfer Pricing, Liquidity Risk, Stress Testing) and Global Risk Management (Global Retail/Corporate/Commercial Credit Risk, Counterparty Credit Risk, Operational/Non-Operational Risk Management).

 

The Role

The Senior Data Engineer is responsible for developing and implementing technical solutions to support the Group Treasury business with a focus on Data Engineering building reusable data assets for the group and the bank. You will be required to participate in multiple projects, including technical design, use cases, and process workflow of complex business processes for internal clients. You must possess the ability to work with a team of technology focused peers and the ability to juggle multiple/concurrent tasks. You must thrive on challenge, be proactive, dynamic and demonstrate initiative and eagerness to learn.

 

Some of the key accountabilities include:

 

  • Design, develop, and optimize ETL/ELT pipelines using Azure Data Factory, SQL Server Integration Services (SSIS), and BigQuery.
  • Build and maintain data workflows across Azure Synapse Analytics, Azure Data Lake, and GCP BigQuery, integrating structured and semi-structured financial data sources.
  • Lead modernization of legacy financial data systems to cloud-native architectures on Azure and GCP.
  • Develop scalable data models and transformation logic to support finance, treasury, and regulatory reporting.
  • Implement data governance, lineage, and quality frameworks across multi-cloud environments.
  • Collaborate with finance, treasury, and risk teams to understand data requirements and translate them into technical solutions.
  • Ensure compliance with financial data standards, including auditability, traceability, and regulatory controls.
  • Mentor junior engineers and promote best practices in data engineering, DevOps, and CI/CD.

 

 

What You Will Bring to Succeed

  • Bachelor's degree in a technical field such as Computer science, Information Systems, Computer engineering, Data Science or related field required.
  • 5+ years of experience in data engineering, with hands-on experience in Microsoft Azure and GCP data tools.
  • Strong proficiency in SQL Server, T-SQL, SSIS, and Azure Data Factory.
  • Experience with BigQuery, Cloud Storage, and Dataflow or Apache Beam.
  • Solid understanding of financial data domains such as general ledger, cash management, liquidity, regulatory reporting, and risk analytics.
  • Experience working in or with financial institutions, banks, or treasury departments.
  • Familiarity with CI/CD tools (e.g., Azure DevOps, GitHub Actions, Cloud Build) and infrastructure-as-code (e.g., Terraform).
  • Excellent problem solving and analytical skills and be capable of multi-tasking and managing concurrent tasks and initiatives.
  • Ability to solve technical problems/ processes and understand complex details.
  • A high level of interpersonal and verbal communication skills necessary to relate to other people at their systems knowledge level.
  • Self motivated and curious to learn new technologies and business use cases.

Preferred Qualifications:

 

  • Experience with Databricks, Delta Lake, MLflow, and Apache Airflow.
  • Knowledge of Power BI, Looker, or other visualization tools.
  • Certifications such as Azure Data Engineer Associate or Google Professional Data Engineer.
  • Experience with financial compliance standards (e.g., SOX, Basel, IFRS).
  • Experience working in Agile/Scrum environments.

The Workplace We are technology partners who help the business transform how our employees around the world work

  • We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!
  • You'll get to work with and learn from diverse industry leaders, who have hailed from top technology companies around the world
  • We foster an environment of innovation and continuous learning
  • We care about our people, allowing them to design how they work to deliver amazing results
  • We offer a competitive total rewards package, including a performance bonus, company matching programs (on pension & profit sharing), and generous vacation

Location(s):  Canada : Ontario : Toronto 
Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.  
At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our  Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.