Analytics Engineer, XData at Spotify

London, England, United Kingdom

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Music StreamingIndustries

Requirements

Experience in analytics engineering, data engineering, or data science, with a strong foundation in SQL, data modeling, and pipeline design
Hands-on experience with dbt, including building modular transformations and managing dependencies
Proficient in distributed data systems like BigQuery, Scio, Spark, or Presto or equivalent experience
Skilled in data logging, instrumentation, and consumption analytics
Strong communicator who thrives in collaborative, multi-functional environments — able to translate sophisticated technical concepts into practical, actionable insights
System problem solver who’s curious about user behavior and passionate about building data systems that illuminate how millions of users engage with Spotify
Pragmatic, collaborative, and invested in building clean, reliable, and scalable data foundations
Located within the EMEA region (excluding France due to on-call restrictions), available in Central European and GMT time zones for collaboration

Responsibilities

Design, build, and maintain ETL/ELT pipelines in dbt and Scio that monitor and measure user exposure, engagement, and consumption across Spotify’s ecosystem
Collaborate with data experts from the Telemetry Squad, alongside data scientists and analytics specialists from the Epic Squad, to streamline data logging, user behavior instrumentation (UBI), and consumption reporting
Play a central role in defining data contracts, unifying schemas and metrics, and ensuring consistent tracking across core surfaces such as Home, Browse, Search, Feeds, in-app promotions, and advertising
Ensure that pipelines are reliable, observable, and optimized for both performance and data quality, helping teams make confident, data-driven decisions
Improve Spotify's data architecture by crafting user journey timelines and standardized schemas
Champion analytics engineering standards — including testing, documentation, CI/CD for analytics code, and automated data quality assurance — to drive a culture of excellence in data craftsmanship

Skills

ETL

ELT

dbt

Scio

data pipelines

data contracts

schemas

metrics

CI/CD

data quality

data architecture

SQL

Spotify

Digital music streaming service with podcasts

About Spotify

Spotify provides a digital music streaming service that allows users to access millions of songs and podcasts from various artists and creators. Users can choose between a free plan, which includes advertisements, and a premium subscription that offers an ad-free experience along with features like offline listening and higher sound quality. This tiered model caters to different user preferences and budgets. Spotify generates revenue through subscription fees from premium users and advertising from the free tier. Unlike its competitors, Spotify stands out with its extensive music library, user-friendly interface, and personalized playlists. The company's goal is to connect listeners with a wide range of audio content while supporting artists and advertisers.

Stockholms kommun, SwedenHeadquarters

2006Year Founded

$2,004.2MTotal Funding

IPOCompany Stage

Consumer Software, EntertainmentIndustries

10,001+Employees

Benefits

Extensive learning opportunities, through our dedicated team, GreenHouse

Global parental leave, six months off - fully paid - for all new parents

Flexible public holidays, swap days off according to your values and beliefs

Flexible share incentives letting you choose how you share in our success

All The Feels, our employee assistance program and self-care hub

Spotify On Tour, join your colleagues on trips to industry festivals and events

Risks

Accidental display of adult content may harm Spotify's reputation.

Creating its own music to avoid royalties could lead to legal issues.

Layoffs may affect Spotify's operational efficiency and employee morale.

Differentiation

Spotify offers a vast library of music and podcasts globally.

The platform's user-friendly interface enhances user experience and engagement.

Spotify's personalized playlists cater to individual user preferences.

Upsides

Spotify's AI-powered Wrapped feature enhances user engagement and personalization.

Expansion into political podcasting taps into new audience segments.

Growing podcast popularity in Africa presents expansion opportunities for Spotify.

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