Senior Analytics Engineer, Spotify
User Platform Insights
Commercial music streaming service
Job no longer available
Commercial music streaming service
1001+ employees
Job no longer available
1001+ employees
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
Role
Who you are
- You have 5+ years of experience in the development of data products (using 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 modelling, 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 positive 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
- Experience with scala is a plus
What the job involves
- The Platform team 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 disciplines, 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 crafting scalable products for our developers and customers
- You’ll help build high quality, analysis ready datasets to power insights
- Lead long-term internal initiatives on topics such as data infrastructure, data quality, data-informed decision making, new ways of working, technical health, and more
- Engage with senior leadership and promote data driven development practices. Work closely together with engineering teams to ensure high data literacy
- Guide engineering teams in developing data models that tie together disparate data and assist with building an ecosystem of analysis-friendly datasets that empower research and analytics
- Design, implement and maintain high quality datasets and data pipelines in Python, and SQL on BigQuery and GCS
- Collaborate closely with engineers, data scientists and team leads across the mission to design and promote shared methodologies to take data-informed decisions across R&D
Salary benchmarks
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
Few candidates hear
back within 2 weeks
23% employee growth in 12 months
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 values
- Innovative: We move fast and take big risks
- Sincere: We have no time for internal politics
- Passionate: We revel in what we do
- Collaborative: We recognise that we're all in this together
- Playful: We don't take ourselves too seriously
Company HQ
Norrmalm, Stockholm, Stockholms län
Articles
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.
People progressing
Joined as a Conversion Manager in the Growth Team. Promoted three times over seven years to Senior Director - Head of Growth.
Joined as a Customer Advisor. Since then has had the role titles Senior Advisor, Content Associate, Team Coach, and Operations Manager - Primary Support. Hurst is now currently the Business Operations Manager of Music.
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