Data Engineer - Platform Mission Insights

Data Engineer - Platform Mission Insights

The Platform mission creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many teams, we work to make the business work; creating the frameworks, capabilities and tools needed to welcome a billion customers. Join us and help to amplify productivity, quality and innovation across Spotify. 

We are a newly formed insights team that acts across 3 studios within Platform. The domains we work with are employee and end user Identity and Access Management (IAM), internal collaboration tools and security. As a member of the team, you’ll work closely with cross-functional teams of skilled engineers, data scientists, user researchers, designers, and product managers who are all passionate about creating scalable products for our developers and customers. You’ll help create high quality, analysis ready datasets to power insights generation.

What You'll Do

    • Design, implement and maintain high quality datasets and data pipelines in Scala, Python, and SQL on BigQuery and GCS.
    • Define data models that tie together disparate data and assist with building an ecosystem of analysis-friendly datasets that empower research and analytics.
    • Drive long-term internal initiatives on topics such as data quality, data-informed decision making, new ways of working, technical health, and more.
    • Gain cross departmental exposure and flexibility to engage with many teams in the company in different countries in the world.
    • Collaborate closely with engineers, data scientists and team leads across the mission to craft and promote shared methodologies to take data-informed decisions across R&D.

Who You Are

    • You have 3+ years of experience in the development of data products (using Scala, Python, and SQL)
    • You have a track record of taking open-ended analytics goals and translating them into production-quality datasets
    • You are comfortable stepping through ETL processes and tracing data flows through complex DAGs
    • You are knowledgeable in data modeling, data access and data storage techniques.
    • You have strong proficiency using SQL in cloud data warehouses (e.g. BigQuery, Redshift, Snowflake) and are comfortable with performance optimization, data partitioning, and window functions
    • You are a communicative person who values building strong relationships with colleagues and partners and enjoys mentoring and teaching others
    • You are able to operate effectively and autonomously across multiple teams in situations of ambiguity, with only high-level direction
    • Experience with GCP tooling is a plus
    • Experience with dbt is a plus

Where you'll be

    • We are a distributed workforce enabling our band members to find a work mode that is best for them!
    • Where in the world? For this role, it can be within the Europe region in which we have a work location.
    • We ask that our team members be located within Greenwich Mean time zone, Central European time zone, or Eastern European standard time zone for the purposes of our collaboration hours.
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

Spotify transformed music listening forever when we launched in 2008. Our mission is 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 chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.
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