Senior Data Engineer

WIN Home Inspection; Delhi; On-site; CAD 80,000 - 100,000; Full time

Job summary

A leading PropTech company in Ontario is seeking a Senior Data Engineer to analyze complex datasets and provide data-driven insights. This role involves collaboration with cross-functional teams and the development of BI dashboards. Ideal candidates will have a Bachelor's in computer science and 2-5 years of data analysis experience. The company offers a flexible hybrid work environment with a focus on personal and professional growth.

Benefits

Inclusive and collaborative culture

Focus on personal and professional development

Flexibility to work remote and/or hybrid

Qualifications

• 2-5 years of experience in data analysis, including tools like Python, SQL, and Tableau.
• Experience with enterprise cloud computing platforms such as AWS and GCP.
• Strong work ethic and team-player mentality.

Responsibilities

• Collaborate with cross-functional teams to define data requirements.
• Curate data sets through analyses, web scraping, and SQL queries.
• Design and maintain BI dashboards to communicate insights.

Skills

Data analysis

Python

SQL

Excel

Tableau

Looker

PowerBI

Data visualization

Cloud computing platforms

Education

Bachelor's in computer science or related technical field

Job description

About WIN

Founded in 1993, WIN is a highly innovative PropTech company building new and disruptive software platforms and products for the massive real estate industry. We have the stability and brand recognition as a 30-year old company along with the curiosity and energy of a start-up. We are an Entrepreneur 500 company, Entrepreneur Fastest Growing company, and recognized as the Most Innovative Home Services Company.

Our Culture

Our colleagues are driven by curiosity and tinkering and a desire to make an impact. They enjoy a culture of high energy and collaboration where we listen to each other with empathy, experience personal and professional growth, and celebrate small victories and big accomplishments. Click here to learn more about our company and culture: https://www.linkedin.com/company/winhomeinspection/life

About the Senior Data Engineer Role

WIN is looking to add Senior Data Engineer to our growing team! Ideal candidates are passionate about analyzing complex data sets, generating insights, and providing data-driven recommendations. You will be part of a multi-disciplinary team transforming the real estate industry with one of its kind disruptive services by harnessing the power of generative AI in most of our upcoming products.

Key Responsibilities

• Collaborate with cross-functional teams to define data requirements, perform data collection, and ensure data quality and integrity.
• Curate data sets including through hands on analyses and automated tools including web scraping, ETL pipelines and SQL queries.
• Conduct in-depth research and analysis to identify new data sources and complement existing data sources.
• Design and maintain intuitive BI dashboards, reports, and visualizations to effectively communicate complex data and insights.
• Identify actionable business insights through analysis of data trends, patterns, and correlations.
• Own documentation of data processes, schemas, and data sets.
• Build using best practices in security, design, and data quality.

Required Qualifications

• Bachelors in computer science or related technical field.
• 2-5 years of experience in data analysis (e.g. Python, SQL, Excel, Tableau, Looker, PowerBI) and visualization tools.
• Experience with data querying, manipulation, and integration scripting a plus.
• Experience with enterprise cloud computing and storage platforms (AWS, GCP etc).
• Thrive in a dynamic environment that requires innovation and speed of execution.
• Ability to understand and break-down problems and propose clear solutions.
• Creative and outside-the-box thinker with strategic mindset.
• Willing to learn new technologies and platforms.
• Strong work ethic, high integrity, and a team-player.

What We Offer

• Highly inclusive and collaborative culture built on mutual respect.
• Focus on core values, initiative, leadership and adaptability.
• Strong emphasis on personal and professional development.
• Flexibility to work remote and/or hybrid indefinitely.