Senior Data Engineer
TekRek — Greater Toronto and Hamilton Area, CA
- Published on
About the Role
We’re hiring on behalf of a fast-growing tech company building a cloud-native data platform that supports large-scale analytics, real-time processing, and machine learning. This is a high-impact role for a Senior Data Engineer to scale the data platform infrastructure from the ground up.
What You’ll Do
- Design and build robust data platforms on GCP, AWS, or Azure
- Develop scalable batch and streaming pipelines (Spark, Kafka, dbt, Airflow)
- Architect data lake and warehouse solutions (BigQuery, Snowflake, Delta Lake)
- Implement ETL/ELT workflows with strong data governance and reliability
- Define and evolve semantic layers and data models to support analytics and AI
- Collaborate with software engineers, analysts, and data scientists to enable data access and insights
- Establish platform-level best practices for observability, testing, and CI/CD
About the Candidate
Expectations
- 5 years of experience in data engineering or data platform roles
- Strong experience designing and scaling cloud-native data platforms, ideally in a startup with a modern data stack.
- Deep proficiency in Python, Java, or Scala
- Hands-on experience with tools like BigQuery, Snowflake, dbt, Airflow, Kafka, Spark
- Solid SQL and NoSQL database knowledge
- Cloud infrastructure expertise, GCP preferred, also AWS or Azure
- Experience building data platforms that support cross-team use cases (BI, ML, product analytics)
About the Company
This company has exceptional founders and a talented team, creating a strong environment for innovation and growth.
Company Culture and Benefits
This is a great opportunity to work on greenfield projects and build data stacks from scratch. If you’re interested in learning more, please apply or email me at antoine.taugistekrek.io