Data Engineer

Financeit; Toronto; On-site; CAD 75,000 - 95,000; Full time

Benefits offered by this job

Hybrid workplace

Competitive salary with bonus

Comprehensive benefits

RRSP matching

In-office wellness programs

Career development

Job summary

Financeit is seeking a data engineer to join our growing data team in Canada. You will build and maintain data pipelines, dbt models, and data infrastructure to deliver high-quality data for analytics and reporting.

You will collaborate with cross-functional teams, ensure data quality, document data models, and support data consumers. The role offers a hybrid work arrangement and a focus on scalable data solutions for our B2B2C lending platform.

Qualifications

• Design staging, fact and dimension tables for downstream consumption.
• Clear communication of technical data concepts to non-technical stakeholders.
• Strong problem solving with a detail-oriented mindset.
• Ability to manage competing priorities and meet deadlines.

Responsibilities

• Collaborate with high-visibility teams and stakeholders on data engineering initiatives.
• Build and maintain dbt models across staging, mart, and metrics layers in the data warehouse.
• Define and enforce data quality standards, governance policies, and best practices.
• Improve data discoverability, documentation, and help teams access data they need.
• Monitor data pipelines, investigate quality issues, and validate fixes with stakeholders.
• Develop and maintain data automation scripts.
• Participate in data migration projects ensuring data quality.
• Keep up with industry trends and data quality tools.

Skills

Data modeling principles

Effective communication

Critical thinking

Organization

Documentation

Agile delivery

Team collaboration

Education

Bachelor's degree in Engineering/Math/CS

Tools

SQL

dbt

Python

Apache Airflow

AWS (Redshift/Glue)

Job description

Who we are:

Financeit is a point-of-sale financing provider serving some of the largest home improvement and retail organizations in Canada. Our platform helps businesses close more sales by offering customers affordable monthly payment options for their next big home improvement, vehicle or retail purchase.

We are small enough that you can make an impact within the company and large enough to make an impact in the market. Financeit is a company where collaboration, inclusivity, fairness, and respect aren't just ideas that get talked about, but are part of who we are. If such a workplace intrigues you, we hope you'll join us.

About the role:

Do you love working with multi-disciplinary teams and stakeholders across a wide range of functions to implement and solve data engineering challenges? Are you equally skilled at delivering simple solutions to complex problems and consistently delivering on time?

We are looking for a skilled and detail-oriented Data Engineer to join our growing data team. In this role, you will be responsible for building and maintaining the data pipelines, models, and infrastructure that deliver reliable, high-quality data to teams across the organization. You will work closely with business stakeholders to ensure our data warehouse is accurate, well-documented, and scalable as the business grows.

What you'll be doing:

• Collaborate with high-visibility teams and their stakeholders to support critical data engineering initiatives
• Build and maintain dbt models across staging, mart, and metrics layers in the data warehouse, supporting analytics, reporting, and BI tools used across the business
• Work closely with cross-functional teams to define and enforce data quality standards, best practices, and data governance policies
• Support data consumers by improving data discoverability, maintaining documentation, and helping teams understand how to find and use the data they need
• Monitor data pipeline health, investigate data quality issues, assess their impact, and validate fixes in collaboration with business stakeholders
• Develop and maintain data and automation scripts to streamline data testing processes and improve efficiency
• Participate in data migration projects, ensuring data quality and integrity during the migration process
• Stay up to date with industry trends, advancements in data quality tools, and emerging technologies related to data engineering
• Contribute to process improvements, documentation, and knowledge sharing within the data team
• Help foster a team culture rooted in passion, curiosity, and continuous improvement
• Bring energy, positivity, a critical eye, unimpeachable integrity, a team-first attitude, and a desire to contribute to building something great, together

Who you are:

• You have a solid understanding of data modeling principles - you can design staging, fact, and dimension tables that are clean, consistent, and easy for downstream consumers to use
• Strong communication skills - you can explain technical data concepts clearly to non-technical stakeholders and collaborate effectively with business teams
• Elite critical thinking and problem solving and impeccable judgment
• Legitimately curious and passionate about finding the "right answer" with a detail-oriented mindset and a "healthy sense of paranoia" about quality
• Highly organized, disciplined and driven, with the ability to manage competing priorities while meeting deadlines
• A bias toward documentation and data quality - you treat well-documented, tested models as a baseline expectation, not an afterthought
• The ability to follow and manage best practices and standards for data quality, scalability, reliability, and reusability
• A good working knowledge of agile delivery techniques
• Balanced sense of pride & humility with the ability to thrive in a collaborative environment and bring energy and enthusiasm to team culture

• University degree in Engineering, Math, or Computer Science

• 2+ years of full-time and/or internship/PEY experience as a Data Engineer or Data Analyst
• Strong hands-on SQL and ideally dbt experience - you are comfortable building and refactoring layered data models, writing macros, and working with incremental materializations
• Python proficiency for pipeline development, data transformation, and scripting automation tasks
• Experience with Apache Airflow - being comfortable building and debugging DAGs, managing task dependencies, and handling failures gracefully in a production environment would be highly valued
• Familiarity with AWS services, particularly Redshift and Glue, and comfort working in a cloud data warehouse environment would be highly valued
• Experience working in indirect (B2B2C) and/or consumer lending would be a strong asset
• Capable of having fun while doing all of the above; we're serious about this

Winner of Canada's Most Admired Corporate Cultures, twice. We offer more than just the basics, take advantage of:

• An award-winning culture with a collaborative & inclusive team.
• Competitive pay and performance-based bonus:
• Annual Base Salary: $75,000 - $95,000
• Annual Bonus: 20%
• Committed to flexible work arrangements, offering hybrid workplace options.
• Comprehensive medical, dental and vision coverage + Lifestyle Account.
• RRSP Matching and Parental Leave Top UP Program.
• In office massage, meditation & workout sessions.
• Virtual events such as Lunch & Learns, company parties, fun team activities and charity initiatives.
• Career learning and development programs.

Financeit is an equal opportunity employer. We celebrate diverse backgrounds and perspectives because we know they make our team stronger and our product better. We hire based on talent, potential, and culture add - no matter your background, identity, or life experience, you are welcome here.

We may use AI to support our hiring process. While these tools assist our team, applications are ultimately reviewed and assessed by our recruiters. If you require accommodation at any stage of the recruitment process, please let our People Success team know. Please note that this posting is for an existing vacancy, and all employment offers are contingent upon a successful background and credit check, among other verifications.