ResQ was founded with the belief that restaurant operators and trades businesses should have a much better way to operate their businesses 🛠️.
We started with a SaaS-enabled marketplace that helps restaurant operators to streamline their repairs and maintenance operations. By way of that, we began creating tremendous value for the trades that complete the jobs, creating innovative payments, communication, and business management products. With ResQ, both restaurant operators and trades businesses can work better together.
We are trusted by the world's leading restaurant brands and trades businesses. We are venture-backed by top-tier global VCs - and we are just getting 🚀 started.
Hello 👋 Future ResQer!
ResQ is looking for a Sr. Data Engineer to join our Engineering team and help us take ResQ to the next level 🚀.
As a Senior Data Engineer joining ResQ, you will play a pivotal role in driving the strategic direction of our product line. You’ll generate actionable insights and maintain reliable, scalable data pipelines that support data-driven decision-making across teams. Your expertise will be crucial in guiding the product development organization to collect data for analysis and experimentation.
We understand that joining a team is one of the most important choices you make, and adding a team member is one of the most important choices we’ll make. We want you to get to know us, and we want to understand how you approach problems, learn, and what motivates you.
What you will do:
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Build and Maintain Data Pipelines: Design, develop, and optimize ETL pipelines using tools like Airflow or similar workflow orchestration systems. Ensure data reliability and efficiency for downstream analytics and reporting needs.
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Data Modeling and Transformation: Implement and maintain data models in DBT (or similar), ensuring data consistency, quality, and readiness for analysis. Develop and manage transformation workflows to support scalable data warehousing.
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Data Warehousing and Storage: Work within cloud data warehouses (such as Google BigQuery) to ensure optimized data storage and retrieval. Develop best practices for data warehousing, focusing on cost efficiency and performance.
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Collaboration and Support: Partner with data analysts, product teams, and stakeholders to understand data requirements and translate them into technical solutions.Provide guidance and support for data-driven projects, ensuring the right data is available for business insights.
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Monitoring and Optimization:Implement monitoring tools to ensure data quality and pipeline health, proactively troubleshooting issues. Continuously optimize data processes for efficiency, scalability, and cost-effectiveness.
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Documentation and Best Practices: Document data processes, models, and workflows to ensure clarity and transfer of knowledge within the team. Promote best practices in data engineering and data governance.
Who You Are:
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Bachelor’s degree in Computer Science, or a related field, or equivalent experience.
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5+ years of experience in data engineering or a related role within a tech environment.
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Proficiency in data technologies such as SQL and DBT, and in programming in Python.
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Proficiency in SQL, Python, and cloud-based data warehousing tools; familiarity with DBT, Airflow, and BigQuery (or similar).
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Proven experience in working with cross-functional teams and presenting data-driven recommendations to senior stakeholders.
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Strong understanding of product development processes.
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Exceptional problem-solving skills, attention to detail, and ability to thrive in a fast-paced, dynamic environment.
Nice To Haves:
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Knowledge of machine learning and inference, including data mining.
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Experience with dashboarding tools such as and Looker (or other BI tool)
How you will do it:
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A self-starter: You wake up, form a plan, and get going!
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Practice Extreme Ownership - including exhibiting a bias for action, a deep desire to understand all parts of our business, including our customers, and partners; taking risks, adapting and learning till you succeed; a mindset to persevere!
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Be open to feedback; listen, learn, and iterate. We’re all One Team!
What to expect as a candidate:
While we are never perfect, we have aimed to build a process that fosters fairness and helps to minimize bias, this includes structured processes and interviews. Our goal is that everyone interviewed has a positive experience, regardless of the outcome. Check out our Talent Notion page to learn more about the interview process.
Want to learn more? 👀 Keep Reading!
We are a mission-driven team and have a big vision to revolutionize the service industry. While on that journey, we recognize that building a startup is very hard. Turning vision into reality in a fast-growing environment takes superhuman efforts and is often one of the most difficult, yet rewarding, things one can do.
We do our best to ensure transparency during all stages of the interview process but we realize it's a lot of information 📚 to take in at once so we wanted to centralize everything to make it easier for you to navigate through. We have created a Talent Notion page which will help you learn more about us during the recruitment process.
We are spilling the Tea 🫖 on all things ResQ, click here if you want access to the inside scoop 💬 Tell your friends, because sharing 🫶 is caring 🧡
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ResQ strongly believes that diversity of experience, perspectives, and background will result in a better environment for our employees and a better product for our users. ResQ is an equal opportunity employer. We do not discriminate against applicants based on race, colour, religion, sex, national origin, or disability, or any other status or condition protected by Ontario or local law. ResQ is committed to workplace diversity and will provide accommodation to applicants with disabilities throughout the hiring process.
Not Sure You Meet all the Requirements? We know the confidence gap can get in the way of meeting spectacular candidates, so please don’t hesitate to apply — we’d love to hear from you!
