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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 Location Toronto , ON Work location On site Salary $ 75,000 to $ 95,000 YEAR annually Terms of employment Full time Starts as soon as possible vacancies 1 vacancy Source Talent.com #631551221191347493 Various locations Toronto, ON
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.