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 ...
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 ...
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Data Engineer With information
What is the difference between Data Engineer With vs Data Scientist?
| Aspect | Data Engineer With | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's in CS, Engineering, or related field; certifications like AWS, GCP, or Azure | Bachelor's or higher in CS, Statistics, or related; often with certifications in data analysis or machine learning |
| Work Environment | Build and maintain data pipelines, databases, and infrastructure | Analyze data, develop models, and generate insights |
| Employer & Industry Usage | Tech companies, finance, healthcare, where data infrastructure is critical | Research 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.
Job description
Requisition ID: 257859Â
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).
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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.
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Some of the key accountabilities include:
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- 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.
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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:
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- 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): Â Canada : Ontario : TorontoÂ
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. Â
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.
About Scotiabank
Sourced by ZipRecruiter
Industry
Banking and credit intermediation
Company size
10,000+ Employees
Headquarters location
New York, NY, US