3 months ago

Data Engineer – Platform

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 minutes agoStatus: Live

Job Summary

Data Engineer to build large-scale batch and real-time data processing tools on Google Cloud Platform, collaborate with cross-functional squads, and evolve Spotify’s data platform to meet growing business needs. You’ll focus on developer experience, standardization, and enabling AI-enabled data workflows while contributing to a unified data platform and data monorepo.

Location: Toronto

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Build large-scale batch and real-time data processing tools on Google Cloud Platform, improving developer experience and standardizing workflows
•Collaborate with product owners, engineers, and cross-functional squads to deliver impactful features across the data ecosystem
•Expand and evolve Spotify’s data processing platform to meet growing and changing business needs
•Improve the experience for data practitioners by driving best practices, tooling, and standardization across the ecosystem
•Contribute to the evolution of a unified data platform, including efforts toward a data monorepo

Pay and Benefits

Salary: CAD 103,321 - 147,602 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalRetirement SavingsMeal AllowancePaid LeaveFlexible Holidays

Key Requirements

•3+ years of experience working in data engineering or a related field
•Experience building and maintaining data pipelines using modern programming languages
•Strong understanding of systems design, data structures, and scalable architectures
•Comfortable working with high-volume, heterogeneous datasets in distributed cloud environments
•Experience with Python or JVM-based data processing frameworks such as Spark, Flink, or Dataflow

Experience:3+ yearsData engineeringCloudBig data

Skills:PythonJavaSparkFlinkDataflowGoogle Cloud PlatformDistributed systems

Tech Stack:PythonJavaSparkFlinkDataflowGCPBigQuery

Company Brief

Spotify

Provides a music, podcast and audio streaming service offering on-demand access to millions of tracks and podcasts, personalized recommendations, and advertising and subscription-based tiers for listeners and creators worldwide.

Industry: Streaming Platforms

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Stockholm, Sweden

Founded: 2006

Glassdoor: 4.1

Website LinkedIn Glassdoor

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Spotify

3 months ago

Data Engineer – Platform

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 minutes agoStatus: Live

Job Summary

Location: Toronto

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Build large-scale batch and real-time data processing tools on Google Cloud Platform, improving developer experience and standardizing workflows
•Collaborate with product owners, engineers, and cross-functional squads to deliver impactful features across the data ecosystem
•Expand and evolve Spotify’s data processing platform to meet growing and changing business needs
•Improve the experience for data practitioners by driving best practices, tooling, and standardization across the ecosystem
•Contribute to the evolution of a unified data platform, including efforts toward a data monorepo

Pay and Benefits

Salary: CAD 103,321 - 147,602 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalRetirement SavingsMeal AllowancePaid LeaveFlexible Holidays

Key Requirements

•3+ years of experience working in data engineering or a related field
•Experience building and maintaining data pipelines using modern programming languages
•Strong understanding of systems design, data structures, and scalable architectures
•Comfortable working with high-volume, heterogeneous datasets in distributed cloud environments
•Experience with Python or JVM-based data processing frameworks such as Spark, Flink, or Dataflow

Experience:3+ yearsData engineeringCloudBig data

Skills:PythonJavaSparkFlinkDataflowGoogle Cloud PlatformDistributed systems

Tech Stack:PythonJavaSparkFlinkDataflowGCPBigQuery

Company Brief

Spotify

Industry: Streaming Platforms

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Stockholm, Sweden

Founded: 2006

Glassdoor: 4.1

Website LinkedIn Glassdoor