Data Engineer

at  RateHub

WHO IS RATEHUB?

We’re a company on a mission - We are a unique Canadian Fintech that is the one stop shop for all financial needs of the consumer - Save, Spend, Borrow, Invest, and Protect. Every single team member, from product & engineering to sales & marketing, finance, operations, and everything in between is obsessed with one thing; helping Canadians make better financial choices. And we’re pretty great at it, too. Via our digital application technology and our award-winning in-house brokerages, we help over 2M Canadians per month make a positive impact on their finances. We have many unique businesses - a mortgage brokerage, a life insurance brokerage, a home and auto insurance brokerage, a mortgage originations and servicing business, a Financial Services Marketplace and a content business across Ratehub and MoneySense. 365 days a year we deliver our users the best online mortgage experience, personalized Credit Card and Loans options, and cheaper auto & home insurance policies than they typically get from their existing financial adviser.
Changing how people make financial choices isn’t easy, though. We know that achieving our mission is full of challenges; challenges that can be complex and often unexpected, but that are always interesting, rewarding, and fun to solve as a team. This is where you come in. We are on the hunt for the right kind of people to join us and help lead us forward to continued growth.
We have a newly created Data Team that is capturing data, analyzing it, harvesting it, modeling it to provide meaningful insights to our Members and to our businesses. We’re looking for a top performing Data Engineer to join this team, which will be the backbone of all the businesses (based in downtown Toronto but also open to remote candidates)! Reporting to the Head of Data, the Data Engineer is a critical member of Ratehub’s team who will drive decision making across the company. You will work on high impact projects with business and engineering stakeholders, and enable the use of data to solve long-term and immediate business problems. The ideal candidate has strong communications skills, a passion for data, a background in engineering and an interest in personal finance. You will get the opportunity to work closely with the other engineers, analysts as well as the business stakeholders to learn different parts of the business and provide valuable support.

YOUR QUALIFICATIONS

• 3+ years of relevant work experience including experience with Airflow, dBT or similar tools
• Proficiency in Redshift and strong knowledge of Python and SQL
• Experience building custom ELT pipelines from scratch
• Familiarity with reporting tools like Looker
• Deep understanding of data warehousing concepts, ELTs, big data technologies, and analytics platforms

• Design, develop and maintain scalable data pipelines and workflows
• Own and champion central data assets reinforcing them as source of truths across organization
• Collaborate with engineering and business teams to deliver solutions offering real business value
• Ensure data quality and integrity through testing, monitoring and validation activities
• Follow software engineering best practices like CI/CD, unit testing, version control