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

We are seeking an experienced Data Engineer with expertise in Dataiku to join our data team. As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data ...

We are seeking an experienced Data Engineer with expertise in Dataiku to join our data team. As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data ...

Experience: 8-12 years in Data Engineering with a heavy focus on the AWS Cloud stack. * AWS Expertise: Deep hands-on experience with Glue, Athena, EMR, and Redshift. * AI/ML Tools: Proficiency in ...

Experience: 8-12 years in Data Engineering with a heavy focus on the AWS Cloud stack. * AWS Expertise: Deep hands-on experience with Glue, Athena, EMR, and Redshift. * AI/ML Tools: Proficiency in ...

Lead, Data Engineer

Mississauga, ON · On-site +1

CA$122K - CA$162K/yr

Summary The Lead Data Engineer is a senior individual contributor within McKesson's Decision ... Partner with Product Managers, Data Scientists, Analysts, and business stakeholders to translate ...

Plan for your future with us! Personal Spending Account Up to $500 to spend on anything related to ... We're looking for a Data Engineer who enjoys building reliable, scalable data solutions and is ...

We are looking for a handson Data Engineer with deep expertise in Apache Spark and strong programming skills in Python, Scala, and Java. This role is centered on building high performance, scalable ...

Lead, Data Engineer

Mississauga, ON · On-site +1

CA$122K - CA$162K/yr

Summary The Lead Data Engineer is a senior individual contributor within McKesson's Decision ... Partner with Product Managers, Data Scientists, Analysts, and business stakeholders to translate ...

Lead Data Engineer

Toronto, ON · On-site

CA$75K - CA$141K/yr

Data Analytics & Reporting We are seeking a Lead Data Engineer with strong ETL and Application expertise to lead the enhancement of existing ETL applications and design modern ETL/ELT pipelines as ...

The ideal candidate is a hands-on data engineering professional with strong expertise in distributed data processing, cloud data platforms, and data pipeline orchestration. This individual will ...

Data Engineer

Concord, ON

CA$90K - CA$150K/yr

This role works closely with AI Engineers, solution architects, and platform teams to ensure data infrastructure is production-ready, secure, and aligned with GEI standards. Essential ...

The ideal candidate is a hands-on data engineering professional with strong expertise in distributed data processing, cloud data platforms, and data pipeline orchestration. This individual will ...

Data Engineer

Markham, ON

CA$90K - CA$150K/yr

This role works closely with AI Engineers, solution architects, and platform teams to ensure data infrastructure is production-ready, secure, and aligned with GEI standards. Essential ...

The Data Engineer works closely with analytics, operations, IT, data governance, and AI & Automation stakeholders to move data initiatives from design through production, while maintaining data ...

Data Engineer

Toronto, ON · Hybrid

CA$100K - CA$140K/yr

Since 2020, we've been helping Fortune 500 companies unlock growth with cutting-edge digital ... The Opportunity ShyftLabs is seeking a skilled Data Engineer to support in designing, developing ...

Data Engineer

Toronto, ON · Hybrid

CA$90K - CA$125K/yr

About The Role As a Data Engineer you'll be tasked with designing, building, and maintaining scalable data platforms and pipelines. Your deep knowledge of data platforms such as Azure Fabric ...

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Data Engineer With information

What is the difference between Data Engineer With vs Data Scientist?

AspectData Engineer WithData Scientist
Required CredentialsBachelor's in CS, Engineering, or related field; certifications like AWS, GCP, or AzureBachelor's or higher in CS, Statistics, or related; often with certifications in data analysis or machine learning
Work EnvironmentBuild and maintain data pipelines, databases, and infrastructureAnalyze data, develop models, and generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data infrastructure is criticalResearch institutions, tech firms, marketing, and analytics-focused companies

While Data Engineers With focus on developing and maintaining data infrastructure, Data Scientists analyze data to derive insights. Both roles often collaborate but serve different functions within data teams.

What job categories do people searching Data Engineer With jobs in Toronto, ON look for? The top searched job categories for Data Engineer With jobs in Toronto, ON are:

Senior Data Engineer with Cloud

Scotiabank

Toronto, ON

Full-time

Retirement, PTO

Re-posted 21 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.