Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Toronto, ON, CA, M2H0A1
Actively hiring, first seen by us 1 day agoActively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
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$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Day 1
Early. Similar jobs usually come down between day 5 and day 54.
From 10,704 similar postings that came down. Coming down is not always a hire.
49 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
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.
- 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.
Complete your application on jobs.scotiabank.com. The employer’s form will show what is required.
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We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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:
Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have:
What's in it for you?
*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.
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Toronto, ON, CA, M2H0A1
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