Job Description

OEG Sports & Entertainment delivers North America's leading sports and entertainment experiences to connect our fans to their passions. Located in the heart of the ICE District, OEG owns the 5-time Stanley Cup Champion Edmonton Oilers, the WHL's three-time Memorial Cup Champion Edmonton Oil Kings, and the AHL's Bakersfield Condors. OEG operates Rogers Place, North America's premier and most technologically advanced sports and entertainment venue. The 18,647 seat, $480 million arena is among the most technologically enabled sports facilities in North America as well as the first LEED Silver-certified NHL Facility in Canada.



Our vision is to be a Global Leader in Sports & Entertainment. Together, we inspire our fans by connecting them to their passions, which is ours as well! We play hard as a team, and with devoted integrity towards our common purpose. We have commitments to innovation and growth, combined with performance excellence that ensures a fair return on investment. We develop our people to be leaders in our industry, and we invest in our communities. Through our world class talent, we strive to

WIN. ON and OFF the ICE.

The

Edmonton Oilers Hockey Club

, a premier NHL organization, is building a new

Hockey Analytics & Technology

group to push the boundaries of data-driven decision making in hockey. The group will leverage all aspects of technology (including data, analytics, and software development) to enhance player evaluation, team strategy, and overall performance. This work will directly impact organizational decision-making and the long-term competitiveness of the team.

About the Role:

We're looking for a versatile

Hockey Data Engineer

to join us.



This hybrid role blends two key responsibilities:

Data Engineering:

You will leverage

cloud platforms

like

Azure

and

Databricks

to perform common data engineering tasks such as data ingestion, transformation, and orchestration.

Hockey Data Analysis:

Your focus will be on

descriptive and diagnostic analytics

, performing both ad hoc analysis & automated reporting to provide actionable insights to all aspects of Hockey Operations.

You will also play a key role in our

R&D efforts

, helping to wrangle, transform, and make sense of large-scale experimental datasets--including cutting-edge player tracking and event data--that will power the next generation of hockey analytics models.



In addition, you will participate in the creation & operation of our

internal tools & applications

by working with developers to ensure that the data is positioned correctly for front-end development.

Your Focus in this Role:

Data Engineering:

Design, develop, and maintain

data pipelines within

Azure Databricks

using the Medallion Architecture (Bronze, Silver, Gold layers) to support scalable and efficient data ingestion, transformation, and analytics workflows. Create workflows to automate data integration from various internal and external hockey-related sources, ensuring timely and accurate data delivery.

Implement ETL/ELT pipelines

using Databricks, integrating data from a variety of sources (APIs, databases, Azure Data Lake) into the structured data layers to ensure high data quality and consistency across the organization. Collaborate with data scientists, developers and analysts to build out feature stores for machine learning and predictive analytics, ensuring high-quality, timely data for model training and deployment. Ensure data quality and integrity through robust monitoring, validation, and governance practices, while optimizing query performance. Support

R&D initiatives

by ingesting, transforming, and structuring large-scale experimental datasets--preparing the foundation for next-generation analytics and machine learning models.

Hockey Data Analysis:


Conduct

descriptive and diagnostic analytics

to explore and explain trends, patterns, and insights from our large corpus of hockey data. Perform

ad hoc analysis

based on requests from management, coaches, and scouts to answer specific, timely questions.

Automate key reporting processes

to streamline data delivery, ensuring fast access to insights for decision-making. Develop visualizations and reports using tools such as

PowerBI

,

Jupyter notebooks

, or

Plotly

to clearly communicate findings and tell compelling stories around the data.

Web Application Support:

Collaborate with Developers

to ensure data is properly integrated into our internal web application, supporting seamless functionality and user experience. Troubleshoot any data-related issues that arise within the application. Collaborate within a cross-functional team to optimize data pipelines and processes to ensure performant end products.

Qualifications:

Education:

Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Applied Mathematics, or a related field.

Experience:

3+ years of experience in data engineering or analytics, ideally in sports or sports-adjacent environments.

Technical Skills:

Expertise in

Azure Data Factory

and

Databricks

for data integration & processing. Proficiency in

Python

,

SQL

, and

ETL tools

for data transformation and orchestration. Experience with

Spark/PySpark

for large-scale data processing within Databricks. Familiarity with

Delta Lake

for reliable, performant data lakehouse operations. Proficiency with

Git

for version control and collaborative development. Understanding of

data modeling

principles, including dimensional modeling and data warehouse design patterns. Experience integrating data from

RESTful APIs

and external data sources. Comfortable using tools such as

PowerBI

,

Jupyter notebooks

, or

Plotly

to communicate and visualize ad hoc insights. Strong focus on

descriptive

and

diagnostic

analytics rather than predictive or machine learning approaches. A working knowledge of basic statistics is preferred.

Hockey Knowledge:

A working understanding of the game and its associated metrics is preferred.

Work Style:

You bring an optimistic attitude to work every day. You're efficient and resourceful, always finding smarter ways to wrangle data and deliver insights faster. You thrive in a supportive, collaborative environment where experimentation is encouraged and iteration is the norm.

Why Join Us?

Be part of a dynamic and growing

Hockey Analytics & Technology

team within a premier NHL organization. Collaborate on projects that directly influence on-ice performance and team strategy. Competitive salary and benefits package.

Next Steps:

Thank you for your interest in joining our team! Those moving forward in the process will be contacted by a member of our team.

Stay in Touch!

Official Edmonton Oilers Website | NHL.com

#

Experience

Preferred* 4