Data Analytics Engineer

Job Summary

Make an impact to the future of hockey and sports analytics by being part of the ground floor team in a Vancouver area Sports Tech venture.  We’re looking for a proven Data Engineer to join us and help develop our data governance, architecture, ETL and analytics capabilities. You will work with a team of highly talented business, technology and sports professionals to bring the latest sports data & analytics capabilities to life using the world most advanced player tracking technologies. 

If you are looking for something more than just a job, we offer a healthy share options grant to own part of a fast-growth sports tech start-up.  We are on the path to becoming a world leader in hockey player and puck tracking within the next few years with a focus on serving hundreds of youth leagues globally.  If you have a passion for data and sports, we would love to hear from you!

What you’d be doing:             

• Creating and enforcing policies around data collection, management and privacy
• Creating technical ETL mapping specifications, implementing and optimizing ETL data pipelines and real-time data streams
• DevOps work on Google Cloud Platform, managing databases
• Creating data models to accurately predict and identify hockey-based events within our data
• Defining and advancing best practices and data frameworks within the tech team
• Hiring and managing tech team staff, demonstrating company and industry leadership

About you: 

• 5+ years experience and post-secondary degree (Master’s preferred)
• Dev Ops ability; Github, Docker, Kubernetes experience
• Proven data engineering abilities with strong Python skills
• Expertise working with relational, non relational and multidimensional databases, SQL Statements, data information frameworks and business semantic layers for reporting as required
• Experience assessing, setting up and implementing visual analytics solutions
• Experience designing and implementing solutions in the cloud platform (preferably GCP).
• Experience with applied statistics and quantitative modeling (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed)
• Experience with API development, data modeling, data warehousing preferred
• Self-driven and motivated to succeed while working from home

What’s in it for you:    

• Salary based on experience and abilities
• Start-up equity position with a large share option grant
• Flexible vacation scheduling with an extra paid week of Christmas holidays off every year
• Professional development budget

To apply, email us your resume to [email protected] and tell us about yourself.