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Scotiabank

Senior Data Engineer

Toronto, ON, M5H 1H1, Canada

Apply About employer

Applications open in a new tab.

Job details

Apply by: Oct 16, 2026
Experience: 6+ years of experience in data engineering, analytics, or platform engineering roles
Posting language: English
Posted: Oct 9, 2026

Original job description

Requisition ID: 276075

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

About the Role

As a Senior Data Engineer within the Data & AI Technology team, you will play a critical leadership role in designing, building, and scaling enterprise grade data platforms. You will provide technical leadership across large, complex initiatives, with a strong focus on Azure, Databricks, and modern data engineering technologies. This role partners closely with architects, product owners, platform teams, and business stakeholders to deliver secure, scalable, and high performing data solutions that drive business outcomes.

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

Lead the design, development, and optimization of data pipelines, ingestion frameworks, and analytical workloads
Act as a technical authority for data engineering best practices, performance optimization, security, and reliability
Drive delivery across large, multi‑year, enterprise programs, ensuring solutions align with architectural standards and strategic roadmaps
Mentor and guide engineers through code reviews, design sessions, and technical decision‑making
Collaborate with enterprise architecture, platform, security, and risk teams to ensure solutions meet governance, compliance, and resiliency standards
Support platform modernization, cloud migration, and legacy technology decommissioning initiatives
Influence and continuously improve engineering standards, reusable patterns, and shared capabilities across the Data & AI ecosystem

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

6+ years of experience in data engineering, analytics, or platform engineering roles
Strong hands‑on experience with Azure Databricks, including Spark (PySpark/Scala), Delta Lake, and performance tuning
Deep experience with Azure data services such as ADLS, Azure Data Factory, Synapse, Event Hubs, or equivalent technologies
Solid understanding of data architecture, data modeling, ETL/ELT patterns, and data quality frameworks
Proven experience working on large-scale, complex enterprise projects involving multiple teams and stakeholders
Strong programming skills in Python, SQL, and familiarity with CI/CD pipelines for data platforms
Experience working in regulated environments with strong controls around security, privacy, and compliance
Demonstrated ability to lead technically while remaining delivery‑focused and outcome‑oriented
Experience working with structured, semi-structured, and unstructured data.

Nice to Have

Experience in financial services or other highly regulated industries
Exposure to AI/ML platforms, feature stores, or advanced analytics workloads
Experience with cloud migration programs, platform modernization, or data platform decommissioning
Familiarity with DevOps/DataOps practices and tooling

What We Offer

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 - No matter where you choose to work from; we offer opportunities for community engagement & belonging with our various programs.

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.

Apply About employer

More about this job

Responsibilities

Lead the design, development, and optimization of enterprise-grade data pipelines and ingestion frameworks. Provide technical leadership and mentorship to engineers while ensuring solutions align with architectural, security, and compliance standards.

Requirements

Requires 6+ years of experience in data engineering with strong hands-on expertise in Azure Databricks and modern data services. Candidates must possess solid programming skills in Python and SQL, along with experience in large-scale enterprise project delivery.

Skills

Azure
Databricks
Spark
PySpark
Scala
Delta Lake
ADLS
Azure Data Factory
Synapse
Event Hubs
Data modeling
ETL/ELT
Python
SQL
CI/CD
Data engineering

Benefits

Diversity, Equity, Inclusion & Allyship
Employee Resource Groups
Accessibility and Workplace Accommodations
Upskilling
Tuition assistance
Competitive Rewards program
Bonus
Flexible vacation
Personal days
Sick days
Benefits starting on day one

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Azure
Databricks
Spark
PySpark
Scala
Delta Lake
ADLS
Azure Data Factory
Synapse
Event Hubs
Data Modeling
ETL
ELT
Python
SQL
CI/CD
DataOps
DevOps
Cloud Migration
Platform Modernization
Governance
Compliance
Financial Services
AI/ML
Feature Stores
Data Quality
Enterprise Architecture
Security
Resiliency

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