Analytics Engineer, Spotify

Business Strategy & Insights

$125.6-179.4k

+ Equity

SQL

Python

Airflow

Spark

BigQuery

Hive

dbt

Junior and Mid level

New York

Office located in New York City, NY

Commercial music streaming service

Be an early applicant

Commercial music streaming service

1001+ employees

B2CMusicEntertainmentDigital MediaSaaSMobile

Be an early applicant

$125.6-179.4k

+ Equity

SQL

Python

Airflow

Spark

BigQuery

Hive

dbt

Junior and Mid level

New York

Office located in New York City, NY

1001+ employees

B2CMusicEntertainmentDigital MediaSaaSMobile

Company mission

To unlock the potential of human creativity—by giving a million creative artists the opportunity to live off their art and billions of fans the opportunity to enjoy and be inspired by it

Job

Company

Role

Who you are

2+ years of professional experience analyzing complex data with SQL and Python
A demonstrable track record of contributing to analytics solutions for Data Science teams; you turn open-ended goals into scoped, actionable plans
Significant ETL/ELT experience with very large and complex datasets, including managing DAG dependencies (e.g., Airflow, Dagster, or similar)
Deep competency with SQL on distributed/data-lake systems (e.g., BigQuery, Presto, Spark/Hive SQL), including nested data handling, window functions, query tuning, and partitioning strategies
Collaborative, low-ego, and invested in helping peers level up. You care about reliable pipelines, clear models, and measurable impact

What the job involves

We’re looking for an Analytics Engineer with a deep SQL/analytics toolkit to shape the analytics data layer that powers our Data Science environment
You’ll join a tight‑knit crew of analytics and data engineers, building robust, scalable models and pipelines in BigQuery and dbt across a huge and diverse data landscape
You’ll partner closely with Data Scientists, Data Engineers, and product teams to define clean data contracts, standardize metrics, and make trusted data easy to find and use
Be a primary contributor to the analytics data layer — designing, modeling, and maintaining datasets that surface critical signals from massive, heterogeneous sources
Work hand‑in‑hand with Data Scientists to design schemas, features, and pipelines that unlock exploratory research and repeatable analysis
Engineer novel datasets and features, and elevate existing ones, to enable flexible analysis of subscription and consumption dynamics across our platform
Implement and evolve ETL/ELT pipelines in dbt and BigQuery; collaborate with the engineering team on data infrastructure improvements as needed
Establish and champion reporting best practices and a standardized metrics layer for the Business Strategy & Insights Org. — driving consistency, documentation, and discoverability
Raise the bar on analytics engineering: code review, testing, data quality checks, performance optimization, observability, and CI/CD for analytics code
Support downstream users — debugging queries, optimizing models, and sharing context — while mentoring teammates and uplifting standards

Our take

Spotify was founded in an attempt to combat the rampant music piracy that was causing significant harm to the industry. The company has since taken music streaming mainstream and now has 180m+ paying subscribers across the world.

With features that include a highly accessible interface and a vast catalogue of artists, Spotify's strong brand has been able to maintain growth in spite of fierce competition from deep-pocketed rivals like Amazon and Apple. The company has achieved this by making smart acquisitions to move into other verticals to strengthen its offerings, especially podcasting, by acquiring Gimlet Media, Anchor and Parcast.

Spotify's future plans include rapid growth with a goal to become a one-stop destination for all digital sound, as well as AI and NFT integrations. However, high costs incurred from the acquisition of exclusive podcasts, increasing competitor strength, and weak bottom-line growth mean that the company must find a balance to maintain its position in the sector.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

23% employee growth in 12 months

Glassdoor (4)

Trustpilot (1.6)

Company

Funding (last 2 of 8 rounds)

Jan 2016

$1bn

CONVERTIBLE

Jun 2015

$526m

SERIES G

Total funding: $2.1bn

Company benefits

Extensive learning opportunities, through our dedicated team, GreenHouse
Flexible share incentives letting you choose how you share in our success
Global parental leave, six months off - fully paid - for all new parents
All The Feels, our employee assistance program and self-care hub
Flexible public holidays, swap days off according to your values and beliefs

Company HQ

Norrmalm, Stockholm, Stockholms län

Leadership

Daniel Ek

(CEO & Chairman)

Founded Spotify in 2006. Previously worked as an executive at Tradera, an auction company that was sold to eBay and was briefly the CEO of uTorrent.

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