- You're a hands-on engineer who enjoys solving problems and building reliable systems. You bring solid technical fundamentals, a pragmatic mindset, and a collaborative approach to everything you do.What You Bring{{:}} Experience{{:}} 2+ years as a Data Engineer working on data platforms, ideally in product-led or high-growth environments
- Technical Skills{{:}}
- Experience building and operating ETL/ELT pipelines
- Hands-on experience with up-to-date data stacks — our tech includes Python, SQL, Snowflake, Apache Iceberg, AWS S3, PostgresDB, Airflow, dbt,
and Apache Spark, deployed via AWS, Docker, and Terraform (experience with some of these or similar technologies is expected)
- Collaboration{{:}} Ability to work effectively with teammates and stakeholders
- Problem-Solving{{:}} Pragmatic approach to balancing quality with delivery needs
- Growth Mindset{{:}} Eagerness to learn, take feedback, and grow your technical skills
- You work AI-first. You will use AI daily here, and we mean daily. You do not need to arrive an expert, but you do need to arrive curious, experiment fast, and take ownership of getting good quickly. People who wait –
📌 Data and AI Engineer (Canada)
🏢 Y-Axis
📍 Canada
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