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Added 9 mins ago
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Added 23 mins ago
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Senior Staff Data Platform Engineer
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$137,800 to $178,080 CAD / year
Full-time · Remote
Benevity is seeking a talented Senior Staff Data Platform Engineer, who has an extensive record of hands-on data engineering and data product development experience. This role, reporting to…
Added 1 hour ago
Senior Staff Data Platform Engineer
Benevity
Remote, Canada
Full-time · Remote
Benevity is seeking a talented Senior Staff Data Platform Engineer, who has an extensive record of hands-on data engineering and data product development experience. This role, reporting to…

Scotiabank

Data Engineer (Data Modeling/Data Governance)

Toronto, ON, M2H 0A1, Canada

Experience: 5+ years of experience in data engineering, data management solution design, and development.
Posting language: English
Posted: Sep 25, 2026

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Original job description

Requisition ID: 274855

At Tangerine, we’re redefining banking. As Canada’s leading digital bank, we thrive on innovation, agility, and bold thinking, tackling every challenge head-on with leading technology and the unstoppable power of collaboration.

Our client-obsessed teams deliver flexible, accessible banking solutions, breakthrough products, and award-winning service. Beyond banking, we’re committed to making an impact in the communities we serve and across our organization. We foster a culture built on integrity, inclusion, and fearless ambition – where diverse perspectives are valued, and people are empowered to do their best work.

Are you ready to disrupt the status quo? Do you crave challenges that push boundaries? If you’re a high performer looking to accelerate your career and reimagine the banking landscape, this is your moment.

Let’s shape the future of banking together!

Position Overview

We are looking for an experienced Data Engineer to design, develop, and support scalable enterprise data solutions within a financial services environment.

The ideal candidate will have strong hands-on experience in data engineering, data modeling, data warehouse development, and building data products, with expertise in GCP, BigQuery, Apache Airflow, Informatica, Python, SQL, and Git. A strong focus on data governance, data quality, security, and privacy is essential.

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

Design, build, and support scalable data pipelines, data warehouses, data models, and data products.
Develop cloud-based data solutions using GCP, BigQuery, Apache Airflow, Informatica, Python, and SQL.
Design conceptual, logical, physical, and dimensional data models.
Build reliable ETL/ELT processes and optimize data transformation workloads.
Apply data governance, metadata, lineage, data quality, security, privacy, and access-control principles throughout solution design and development.
Troubleshoot data and technical issues and recommend effective solutions.
Produce clear technical documentation covering data models, data flows, designs, and operational processes.
Collaborate with business, architecture, governance, security, and technology teams.
Participate throughout the SDLC, including design, development, testing, deployment, release, and production support.
Provide technical guidance and support engineering best practices.

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

University or College degree in a relevant field, or equivalent professional experience.
5+ years of experience in data engineering, data management solution design, and development.
Strong experience in data modeling, data warehouse development, ETL/ELT, and data product development.
Strong financial services background, with retail banking knowledge preferred.
Proven ability to work effectively with technical and business stakeholders.
Strong analytical, problem-solving, and documentation skills.
Strong hands-on experience with: GCP and BigQuery, Apache Airflow, Informatica, Python and SQL, Git, Data modeling and dimensional modeling, Data warehouse design and development, ETL/ELT and data pipeline engineering, Data product development, Data governance, metadata, lineage, and data quality, Data security, privacy, and access control, SDLC and release management
Excellent written and verbal communication skills.
Strong analytical and problem-solving abilities.
Strong collaboration and stakeholder-management skills.
Commitment to data quality, governance, security, reliability, and maintainability.
Positive, proactive attitude with the ability to influence, lead, and mentor others.

What's in it for you?

You will be part of a diverse and inclusive team of Client-focused go-getters looking to learn from each other in an environment that celebrates and recognizes success!
You will have access to thousands of online and in person courses so you can shape your career growth with the support from diverse industry leaders.
You will get our help to save for your future and to invest in your total wellbeing through our Tangerine benefits*.
You belong here, we are equal and un-complicated. Bring your true self to work, dress codes don’t apply here.
You will enjoy workspace flexibility and all the excitement that comes from working at the official Bank of the Toronto Raptors.

*Tangerine employees participate in Scotiabank’s pension & benefits programs (available to permanent employees)

Location(s): Canada : Ontario : Toronto

At Tangerine we value the unique skills and experiences each individual brings to the team, and are committed to creating and maintaining an inclusive and accessible environment. If you require accommodation during the recruitment and selection process, please let our Recruitment team know.

Apply About employer

More about this job

Responsibilities

Design, build, and support scalable data pipelines, warehouses, models, and products using cloud and data engineering technologies. Apply governance, quality, security, privacy, and access-control practices while collaborating across teams and supporting solutions throughout the SDLC.

Requirements

Requires a relevant university or college degree, or equivalent experience, and at least five years of experience in data engineering and data solution design and development. Candidates should bring strong hands-on expertise in data modeling, warehousing, ETL/ELT, GCP, BigQuery, Airflow, Informatica, Python, and SQL, along with financial services knowledge and strong communication and collaboration skills.

Skills

GCP
BigQuery
Apache Airflow
Informatica
Python
SQL
Git
Data Engineering
Data Modeling
Dimensional Modeling
Data Warehouse Development
ETL/ELT
Data Product Development
Data Governance
Data Quality
Data Security and Privacy

Benefits

Pension
Benefits Programs
Online and In-Person Courses
Workspace Flexibility

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Data Management
GCP
BigQuery
Apache Airflow
Informatica
Python
SQL
Git
Data Modeling
Conceptual Data Models
Logical Data Models
Physical Data Models
Dimensional Modeling
Data Warehousing
ETL/ELT
Data Pipelines
Data Products
Data Governance
Metadata
Data Lineage
Data Quality
Data Security
Data Privacy
Access Control
Financial Services
Retail Banking
SDLC
Release Management
Production Support

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