Data Engineer – Platform Central Data (Hybrid, Toronto)

Spotify; Toronto; Hybrid; CAD 80,000 - 100,000; Full time

Job summary

A leading audio streaming service is looking for a mid-level Data Engineer in Toronto to build and operate data pipelines that enhance platform productivity. The ideal candidate will have over 3 years of experience with SQL, Python or Scala, and knowledge of cloud data warehouses. This role offers flexibility to work from home while collaborating with cross-functional teams to drive innovative data solutions.

Qualifications

• 3+ years of experience building production quality data solutions.
• Familiarity with distributed processing frameworks like Apache Beam.
• Clear communication with technical and non-technical partners.

Responsibilities

• Build and operate reliable data pipelines using SQL and Python/Scala.
• Improve data quality and performance across existing pipelines.
• Collaborate with Product and Engineering teams to deliver outcomes.

Skills

Strong SQL expertise

Python or Scala proficiency

Experience with Apache Spark or equivalent

Knowledge of cloud data warehousing

Workflow orchestration skills

Communication skills

Tools

Apache Spark

BigQuery

Snowflake

Airflow

Job description

A leading audio streaming service is looking for a mid-level Data Engineer in Toronto to build and operate data pipelines that enhance platform productivity. The ideal candidate will have over 3 years of experience with SQL, Python or Scala, and knowledge of cloud data warehouses. This role offers flexibility to work from home while collaborating with cross-functional teams to drive innovative data solutions.