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Developer, Software
Redlen Technologies Inc.
Saanichton, BC
The Software Developer, Manufacturing Test Software is a key member of Redlen's Test Software team, responsible for developing, maintaining, and enhancing software systems that support the…
QA Engineer with JAVA
LTM
Mississauga, ON
$90,788 to $103,800 CAD / year
Full-time
· 8 years of experience in a Quality Engineering role with a proven track record in designing and developing test automation frameworks
Senior Software Developer – DevOps
General Motors
Remote, Canada
Full-time · Remote
As a Senior DevOps Developer in GM’s Virtualization and Software‑in‑the‑Loop (SIL) Integration group, you will build automation, pipelines, and cloud‑native systems that accelerate…
Embedded Software & Field Tools Developer
Octasic
Montreal, Quebec
Write Python scripts to support automation, glue logic, and rapid prototyping where appropriate - Python complements but does not replace C++ as the primary development language.
Added 3 hours ago
Senior Data Engineer – Capital Markets
Synechron
Mississauga, ON
Full-time
…bring strong SQL programming, Snowflake, Databricks, Spark, and Python development experience, along with the ability to analyze business requirements, translate them into scalable data…
Staff API Engineer
Equinix
Toronto, ON
Full-time
Works with product teams, analysts, and other engineers to design and build systems and application software that enable a robust, usable API ecosystem. Implements and operates API…
Staff API Engineer
Equinix
Toronto, ON
Full-time
Works with product teams, analysts, and other engineers to design and build systems and application software that enable a robust, usable API ecosystem. Implements and operates API…
Firmware Engineer – SerDes PHY (all levels)
Qualcomm
Toronto, ON
Full-time
3+ years of work experience with Programming Language such as C, C++, Java, Python, etc.
Added 14 mins ago
Quality Assurance Lead
Insight Global
Toronto, ON
$60 to $70 CAD / hour
Contract
Python development experience with a focus on automation and data processing
Senior Quality Engineer (Python, SQL)
Cognizant
Halifax, Nova Scotia
$70,000 to $90,000 CAD / year
Full-time
As a Senior Quality Engineer, you will lead quality assurance initiatives and collaborate with cross-functional technology teams to ensure the delivery of scalable, high-performance…
Staff Photonics Design & PDK Modeling Engineer
Lightmatter
Toronto, Ontario
Full-time
Experienced in Python for modeling, automation, and data analysis. Comfortable with object-oriented programming and scientific libraries (NumPy, SciPy).
Staff Photonics Design Engineer- Compact Modeling
Lightmatter
Toronto, ON
Experienced in Python for modeling, automation, and data analysis. Comfortable with object-oriented programming and scientific libraries (NumPy, SciPy).
AI and Automation Software Engineer
Advanced Micro Devices, Inc
Vancouver, BC
Full-time
Design, develop, test, and deploy automation solutions using Python and other relevant programming languages.
AI and Automation Software Engineer
Advanced Micro Devices, Inc
Markham, ON
Full-time
Design, develop, test, and deploy automation solutions using Python and other relevant programming languages.
AI and Automation Software Engineer
AMD
Markham, ON
$187,200 to $280,800 USD / year
Full-time
Design, develop, test, and deploy automation solutions using Python and other relevant programming languages.
Technical Operations Engineer
Guidepoint
Toronto, ON
…reliability of key tools, troubleshoot and resolve escalations with clear documentation, and build lightweight automation and reporting to reduce manual work as we…
Senior Embedded Software Engineer
Corinex Communications
Vancouver, BC
Full-time
At Corinex, we are driving the future of energy with cutting-edge Broadband over Power Line (BPL) technology. As a global leader in smart grid solutions, we enable utilities to enhance grid…
Principal Environment Artist - GameSim - Pipeline
Keywords Studios
Remote, Canada
Full-time · Remote
GameSim is a game development studio that partners with clients to build games across PC/console and a range of art styles. We care about craftsmanship, collaboration, and shipping work…
RQ11322 - Solutions Designer - Senior
Maarut
Toronto, ON
Contract
closely with developers to reproduce and resolve issues.
Senior Director, Software Engineering
Infoblox
Burnaby, BC
Full-time
At Infoblox, every breakthrough begins with a bold “what if.”
Data Engineer
Scotiabank
Toronto, ON
Strong Python programming and scripting experience for data engineering and automation.
Lead AI Test Automation Architect
High Tech Genesis
Canada
Contract
Seeking a Lead AI Test Automation Architect / Senior SDET to design and lead AI-powered Quality Engineering and test automation solutions. The role requires strong automation architecture,…
Cloud Architect
SOTI
Mississauga, ON
Full-time
Strong PowerShell scripting and cloud automation experience; experience with Python, Bash, REST APIs, SDKs, AWS CLI, or Azure CLI is highly desirable.
Cloud Architect
SOTI
Mississauga, ON
Full-time
Strong PowerShell scripting and cloud automation experience; experience with Python, Bash, REST APIs, SDKs, AWS CLI, or Azure CLI is highly desirable.
Technical Learning & Development Intern (Winter/January 2027, 12 Months)
Internship List
Oakville, ON · Toronto, ON
The Technical Learning & Development Intern is a technical contributor within the Global Enablement team, supporting workflow automation, AI-powered tool development, content management,…

Scotiabank

Data Engineer

Toronto, ON, M5H 4B6, Canada

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At a glance

Automatically prepared from the listing. Check the original description for the full requirements.

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Responsibilities

The Data Engineer will design, build, and support scalable data pipelines across Azure and Databricks environments. They will collaborate with cross-functional teams to deliver high-quality data products and implement robust data governance and quality standards.

Requirements

Candidates must have 4+ years of experience in data engineering, including expertise in ETL/ELT, SQL, and Python. A strong background in Azure cloud services, Databricks, and modern CI/CD engineering practices is required.

Experience

5 to 10 years

Education

bachelor degree

Working hours

40 hours per week

Job type

Full-time

Work arrangement

On-site

Skills

Azure
Databricks
Spark
Unity Catalog
ETL/ELT
Dbt
Python
SQL
CI/CD
GitHub
Data engineering
Data modeling
Delta Lake
DevOps
Agile
Cloud platforms

Benefits

Bonus
Flexible vacation
Personal days
Sick days
Benefits starting on day one
Tuition assistance
Employee resource groups
Community engagement programs

Visa sponsorship

Not detected in the job text

Keywords

Data Engineer
Azure
Databricks
Unity Catalog
ETL
ELT
Dbt
CI/CD
Spark
Delta Lake
Python
SQL
GitHub
DevOps
Agile
Scrum
Data Warehousing
Data Lake
Data Governance
Cloud Computing
Data Modeling
Automation
Pipeline Optimization
Terraform
API
Microservices
Financial Services
Data Lineage
Observability
Metadata Management

Original job description

Requisition ID: 270031

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

The Data Engineer will play a critical role in designing, building, and supporting scalable, secure, and resilient data solutions across enterprise cloud data platforms. This role will focus on modern data engineering practices, including Azure, Databricks, Unity Catalog, ETL/ELT pipeline development, dbt-based transformation, CI/CD automation, and data platform modernisation.

The successful candidate will work closely with business stakeholders, product teams, data architecture, platform engineering, and application teams to deliver reliable data pipelines and high-quality data products that support reporting, analytics, operational decision-making, and enterprise data initiatives.

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

Design, build, test, deploy, and support scalable data pipelines across Azure and Databricks environments.
Develop ETL and ELT processes to ingest, transform, validate, and distribute structured, semi-structured, and unstructured data.
Build and optimise data pipelines using Azure cloud services, Databricks, Spark, Unity Catalog, dbt, and related data engineering tools.
Work with stakeholders, product managers, architects, and platform teams to understand business requirements and translate them into reliable technical solutions.
Design ingestion patterns and onboard new data sources into the enterprise cloud data platform.
Implement data quality, reconciliation, validation, lineage, and observability capabilities to ensure data accuracy, reliability, and traceability.
Develop reusable data engineering frameworks, patterns, and standards to improve delivery efficiency and operational stability.
Support data governance and access control through Unity Catalog, platform security standards, and enterprise risk management practices.
Create and maintain technical design documentation, including logical and physical data flow views, pipeline designs, operational runbooks, and implementation details.
Drive adoption of DevOps and engineering best practices, including GitHub-based source control, CI/CD pipelines, automated testing, code reviews, and deployment governance.
Troubleshoot production issues, perform root cause analysis, and continuously improve pipeline performance, reliability, and scalability.
Collaborate with DevOps, Scrum, product, application, and business teams to deliver data products in an Agile delivery model.
Contribute to roadmap planning, delivery tracking, technical discussions, and stakeholder communications where required.

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

Core Data Engineering Experience

4+ years of experience working with data warehouses, data lakes, lakehouse platforms, or enterprise data platforms.
4+ years of experience designing, developing, and supporting ETL/ELT data pipelines.
Strong experience working with structured, semi-structured, and unstructured data.
Hands-on experience with data ingestion, transformation, validation, reconciliation, and distribution patterns.
Strong understanding of data modelling, SQL development, performance tuning, and pipeline optimisation.
Experience building resilient, scalable, and maintainable data engineering solutions for enterprise environments.

Azure and Databricks

Strong hands-on experience with Azure cloud data services, including Azure Data Lake Storage , azure data factory, and related cloud-native data platform components.
Strong experience with Databricks, Spark, Delta Lake, and lakehouse architecture.
Practical experience with Unity Catalog for data governance, access control, metadata management, and secure data sharing.
Experience with Databricks Auto Loader, workflow orchestration, notebook development, job scheduling, and production-grade pipeline deployment.
Understanding of cloud security, access management, data protection, and enterprise governance standards.

DBT, ETL/ELT, Airflow and Data Transformation

Hands-on experience with dbt for data transformation, modular SQL development, testing, documentation, and deployment.
Strong understanding of ELT design patterns, incremental models, reusable transformation logic, and data quality checks.
Ability to design transformation layers that are maintainable, auditable, and aligned with enterprise data standards.

Programming and Technical Skills

Strong SQL development skills.
Strong Python programming and scripting experience for data engineering and automation.
Working knowledge of Java and/or Scala, especially in Spark or big data processing environments.
Experience with shell scripting or automation scripting is an asset.
Strong debugging, problem-solving, and performance tuning skills.

CI/CD and Engineering Practices

Hands-on experience with GitHub for source control, branching, pull requests, code reviews, and release management.
Experience building or working with CI/CD pipelines for data engineering delivery.
Experience with DevOps practices, automated testing, deployment automation, and environment promotion.
Familiarity with Terraform, infrastructure-as-code, or cloud deployment automation is an asset.
Experience working in Agile/Scrum delivery teams.

Communication and Collaboration

Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders.
Ability to translate business requirements into scalable technical solutions.
Experience leading or actively contributing to technical discussions, design reviews, and implementation planning.
Collaborative mindset with the ability to work across data, application, platform, DevOps, product, and business teams.
Demonstrated ownership, accountability, and a track record of successful delivery in enterprise technology environments.

Nice to Have

Experience in banking, financial services, regulatory, or highly governed enterprise environments.
Experience with data lineage, metadata management, data quality frameworks, and observability tools.
Experience with enterprise reporting, analytics, AI/ML enablement, or operational data products.
Knowledge of application integration patterns, APIs, microservices, or event-driven architecture.
University degree in Computer Science, Engineering, Data Engineering, Information Technology, or equivalent practical experience.

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 - 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.

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