Data Engineer

DATA ENGINEER

WHO WE ARE

Tradable Bits is an award-winning tech company that helps sports, music and entertainment brands build better fan experiences.  Based in Vancouver, Canada, we work with industry leaders across these sectors including Live Nation, BMG, and teams from the NBA, NHL, NFL, MLB, and more. 

WHO YOU ARE

You’re an experienced and detail-oriented Data Engineer with a solid understanding of software engineering fundamentals and principles, extensive experience working with SQL and non-SQL databases, and excellent communication skills. You have a strong desire to solve problems, deliver results, and grow professionally within the company. Ideally, you have experience with ticketing, merchandise, and/or POS data.

In this role, you will be analyzing, designing, creating data models, developing and supporting code responsible for data processing. If you have passion for analysis of data and like to solve puzzles, read on!

THE ROLE

We’re looking for a high-performing Data Engineer who’s passionate about turning raw data into meaningful insights and scalable systems. This is a role for someone who thrives on problem-solving, enjoys tackling complex analytical challenges, and wants to see their work directly influence real-world fan experiences across sports, music, and entertainment.

As a Data Engineer at Tradable Bits, you’ll design, build, and optimize data pipelines and models that power reporting, analytics, and AI-driven solutions for our clients. You’ll be hands-on with both SQL and non-SQL databases, working closely with engineers and analysts to ensure data accuracy, performance, and usability across our platform.

This is a primarily in-office role based in our Vancouver Mount Pleasant office, where you’ll collaborate with a small, talented, and friendly development team to deliver high-quality, impactful solutions.

WHAT YOU’LL DO: 

• Analyze data using SQL and non-SQL tools.
• Build and maintain full-cycle data pipelines (extraction, transformation, enrichment, loading, QA, and auditing).
• Review engineering code to identify and resolve data accuracy issues.
• Design, implement, and evolve data models.
• Work with columnar databases across the BI lifecycle.
• Apply machine learning, AI, and statistical methods to data analysis.
• Collaborate with a small, talented, and supportive development team.
  

MUST HAVE SKILLS AND EXPERIENCE

• Strong background in RDBMS (PostgreSQL preferred, but other engines accepted).
• Solid understanding of data modelling.
• Experience with data processing algorithms and methods.
• Expert-level SQL and database programming (including stored procedures).
• Ability to write and troubleshoot complex analytical code.
• Skilled in diagnosing and resolving database performance issues.
• Understanding of business processes and their relationship to data structures and processing.
• Knowledge of core Unix concepts (threading, processes, memory) with hands-on Linux experience.
• Proficiency in Python (primary tool of choice).
• Familiarity with GNU stack.
• Bachelor’s degree in Science, Math, Engineering, or related field.
• Minimum 5 years industry experience.

ASSETS (NICE TO HAVE)

• Experience with ticketing, merchandise, and/or POS data.
• Knowledge of quantitative analysis, statistics, and machine learning.
  

ADDITIONAL EXPECTATIONS

• Ability to manage your own workload in a dynamic, fast-changing environment.
• Experience working with Git or other version control systems.
• Strong verbal and written communication skills.
• Independent, accountable, and comfortable owning features end-to-end.
• Curiosity, adaptability, and a sense of humour.
• Excited to contribute in a scale-up environment.

WHY JOIN US

At Tradable Bits, you’ll have the opportunity to make a measurable impact on a growing company that powers fan engagement for some of the biggest names in sports and entertainment. You’ll work alongside a collaborative, curious, and supportive team that values initiative, innovation, and continuous improvement.

We’d love to hear from you if you’re excited about solving complex challenges, optimizing systems, and helping revenue teams thrive.