Apply now

Posted 23 days ago

Lead Data Engineer

@ Scotiabank

Toronto, Ontario

10+ years experience
Apply now
SIGNALS

Overview

Scotiabank is hiring a Lead Data Engineer for its Wealth Data engineering team in Toronto to design and implement Google Cloud business solutions with the enterprise data team and architects. The role leads QA specialists, builds test frameworks and automation, and guides data integrity across lines of business. The posting requires 10+ years of data and OLTP performance experience and states benefits including bonus, flexible vacation and tuition assistance.

Responsibilities:

  • Design and implement business solutions on Google Cloud
  • Create and maintain automated test scripts and frameworks
  • Lead and guide a team of QA specialists
  • Provide data integrity guidance across lines of business
  • Define and validate use case scenarios

Requirements summary:

  • 10+ years of data analysis and OLTP performance experience
  • Wealth industry knowledge, including IIROC-CRM and CRA guidelines
  • Hands-on Google Cloud database experience (SQL, Spanner, PostgreSQL)
  • Expertise in Hadoop HDFS, Hive, Pig, Flume and Sqoop
  • Experience with Kafka and Spark-streaming

Tools & skills

Benefits mentioned

Paid time offTuition support
Source and dates

Employer career site / ATS feed · successfactors

Employer posting date
2026-10-14
First seen by our source
2026-10-15
Source record updated
2026-10-15

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Job details

SeniorityLead
DepartmentSoftware development
Experience10+ years
Manages peopleYes
Travelair: none · ground: none
Work settingOffice
PositionMostly sitting
Physical demandsphysical low · computer high
LanguagesEnglish
Perks mentionedGenerous paid time off, Flexible hours, Tuition support, Performance bonus

Summary and details written by AI from the posting; the employer’s posting is the authority.

Scotiabank

Saved company profile

Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.

Full company description

Welcome to Scotiabank. We serve thousands of customers, families, and communities across the globe, helping them achieve success through advice, products, and services. Follow for news, insights, thought leadership and more. Our disclaimer:

LinkedIn followers
1,518,101
People associated on LinkedIn
91,736
Reported office locations
  • 40 King St W, Toronto, Ontario M5H, CA
  • Bosque de Ciruelos 120, Miguel Hidalgo, CDMX 11700, MX
  • Calle Dionisio Derteano 102, San Isidro, Lima 15047, PE
Business categories
  • Finance
  • Banking
  • Asset Management
  • Financial Services
Other recorded names
  • Scotiabank
Specialties
  • Banking
  • Wealth Management
  • Investment Banking
  • and Technology
Profile identifies a recruitment agency
No
Reported total investment
1,066,913,622

Currency and observation date were not supplied; this is not a current valuation or a funding round.

Welcome to Scotiabank. We serve thousands of customers, families, and communities across the globe, helping them achieve success through advice, products, and services. Follow for news, insights, thought leadership and more. Our disclaimer:

FieldValue
IndustryBanking
Company size10,001+ employees
HeadquartersToronto, Ontario
Organization typePublic Company
SpecialtiesBankingWealth ManagementInvestment Bankingand Technology
Open jobs on Jobsy871
LinkedInView page
Job description

Requisition ID: 276507

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

The Wealth Data engineering team within the Global Wealth Engineering (GWE) is the key team in meeting the operational data needs of the various stake holders within Wealth Management. The Lead Data Analyst will play a key role in designing and implementing business solutions using Google cloud working closely with the enterprise data team and data architects, solution architects, data analyst and data engineers

Is this role right for you? In this role you will:

  • Responsible for creating automated test scripts, conducting software testing, and collaborating with software developers to identify and address defects. You will play a key role in ensuring the quality and reliability of software products.
  • Developing and designing new software systems by reviewing, repairing, maintaining and testing systems to improve business operations. They focus on performing analysis and research to determine the weakness and strength of existing systems.
  • Focuses on the design, implementation, and optimization of automated systems within a variety of industries.
  • Create test cases and scripts for manual and automated testing based on project requirements. Design and develop automation scripts using appropriate tools and frameworks. Review and verify test cases and scripts for quality standards.
  • Guide a team of QA specialist and work hands on in developing framework and mapping specs using best practices that will meet the demanding performance requirements
  • Use their advanced technical knowledge to support their claims and answer clients' questions about the proposed changes.
  • Provide end-to-end business/technical guidance and expertise on data integrity and referential integrity across LOBs
  • Defining Use Case Scenarios and validate the scenarios

Do you have the skills that will enable you to succeed in this role? We’d love to work with you if you have:

  • 10+ years of experience in data analysis, performance optimization for large OLTP applications
  • Knowledge of Wealth Industry – Retail/Wealth, IIROC-CRM guidelines, CRA guidelines
  • Oral and written communication skills.
  • Interpersonal and consultative skills.
  • Facilitation skills.
  • Analytical thinking and problem solving.
  • Being detail-oriented and capable of delivering a high level of accuracy.
  • Organizational skills.
  • Knowledge of business structure.
  • Stakeholder analysis.
  • Expertise knowledge of Hadoop HDFS, Hive, Pig, Flume and Sqoop.
  • Working Experience with Google Cloud Platform Databases (SQL, Spanner, PostgreSQL)
  • Experience working with relational/NoSQL databases
  • Experience with data streaming and technologies such as Kafka, Spark-streaming etc.

What's in it for you?

  • Diversity, Equity, Inclusion & Allyship - We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and are embraced through bias-free practices and inclusive values across Scotiabank. We embrace diversity and provide opportunities for all employee to learn, grow & participate through our various Employee Resource Groups (ERGs) that span across diverse gender identities, ethnicity, race, age, ability & veterans.
  • Accessibility and Workplace Accommodations - 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. Scotiabank continues to locate, remove and prevent barriers so that we can build a diverse and inclusive environment while meeting accessibility requirements.
  • Upskilling through online courses, cross-functional development opportunities, and tuition assistance.
  • Competitive Rewards program including bonus, flexible vacation, personal, sick days and benefits will start on day one.
  • Dynamic Ecosystem - Free tea & coffee, universal washrooms, and lots of space for team collaboration.
  • Community Engagement - We offer opportunities for community engagement & belonging with our various programs such as hackathons, contests, cooking with friends, Humans of Digital and much more!

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.

Similar jobs

  • Lead Data Engineer – Microsoft Fabric

    Vancouver, BC
    Contract

    Querentia Inc.

    10+ YOECandidates need 10-15 years of data engineering experience, including 3+ years on Microsoft Fabric. Strong skills in Fabric Data Factory, Spark, Lakehouse, Warehouse and OneLake, plus proven technical leadership and mentoring experience, are required.

    Microsoft Fabric, Fabric Data Factory, Spark, Lakehouse, Warehouse, OneLake

  • Lead Data Engineer

    Vancouver, BC

    Capgemini

    Candidates need experienced, expert-level Spark (PySpark) skills, hands-on Azure data pipeline development, experience with Azure Data Factory or Airflow, strong SQL and denormalized big data modeling. Databricks and Jupyter, Colab or Databricks notebooks are preferred.

    Databricks, PySpark, Delta Lake, Azure Data Factory, Airflow, Jupyter Notebooks

    Lead Data Engineer

    Vancouver, BC

    Capgemini

    Candidates need strong, hands-on experience with PySpark and Databricks, plus Python, SQL, Delta Lake and cloud platforms such as Azure or AWS. Experience with orchestration tools like Azure Data Factory or Airflow and with leading data engineering teams is expected.

    Databricks, PySpark, Delta Lake, Azure Data Factory, Airflow, Jupyter Notebooks

  • Lead Data Engineer

    Toronto, ON
    $100k–$120k/yrFull Time

    Altis

    7+ YOECandidates need 7+ years in data engineering or a related field, strong SQL, Python and Apache NiFi skills, and experience with data warehousing and cloud platforms such as Azure or GCP. Technical leadership and mentoring experience is also required.

    Apache NiFi, SQL, Python, Microsoft Azure, Google Cloud Platform

  • Lead Data Engineer

    Vancouver, BC
    $150k–$200k/yrOn-siteFull Time

    Kabam

    7+ YOE2+ MgmtCandidates need 7+ years in data engineering, including 2+ years leading engineers or owning a data platform. They need deep SQL and Python skills, production experience with dbt and a cloud warehouse (BigQuery preferred), and a record of reducing cloud data cost at scale.

    BigQuery, Databricks, dbt, Spark, GCP, Dataplex

  • Lead Data Engineer

    Toronto, ON
    $130k–$150k/yrFull Time

    PureFacts Financial Solutions

    Candidates need a bachelor's degree in a quantitative field and experience with a programming language such as Python or Scala. A basic understanding of SQL, data warehousing concepts and cloud platforms, preferably Azure, is expected, along with a willingness to learn Snowflake and DBT.

    Snowflake, Azure Data Factory, Azure Data Lake Storage, DBT, Git, Power BI

  • Lead Data Engineer

    Halifax, NS

    Trolley

    7+ YOECandidates need 7+ years in data engineering owning a production platform, experience leading engineers, and deep skills in Databricks, SQL and Python. Experience supporting finance processes and hands-on use of AI tools in engineering work are also required.

    Databricks, SQL, Python, Salesforce, NetSuite, Sigma

    Lead Data Engineer

    Toronto, ON

    Trolley

    7+ YOECandidates need 7+ years in data engineering with a production data platform, experience leading engineers, and deep skills in Databricks or a similar lakehouse, SQL and Python. Finance or accounting data experience and hands-on use of AI tools in engineering work are also required.

    Databricks, Salesforce, NetSuite, Sigma, Jira, GitHub

Locations & environments

Locations

All of CanadaRemote · Hybrid · On-site · Field

Pro tip: add remote jobs to widen your search.

Exclude locations

Workplace type

Company jobs in these results

These are this company’s jobs loaded in your current search. The company may have more openings.