Analytics Engineer II
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Requirements
• You have a track record of experience in the development of data products (using SQL and/or Python) • You have a track record of taking open-ended analytics goals and translating them into production-quality datasets • You are knowledgeable in data modeling, data access and data storage techniques. • You are comfortable stepping through ETL processes and tracing data flows through DAGs and you are experienced with DBT or other similar tools. • You have strong proficiency using SQL in cloud data warehouses (e.g. BigQuery, Redshift, Snowflake). Experience with GCP tooling is a plus • 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 • Improve data quality through testing, tooling and continuously evaluating performance • Where You'll Be • This role is based in London or Stockholm. • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. • At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.
Responsibilities
• Define and optimize the IAM Domain Data Schema to ensure the most efficient and scalable data structure, addressing gaps and proposing improvements to support the domain's needs. • Collaborate with Engineering Teams to set event instrumentation requirements and ensure the collection of accurate and actionable data. • Lead long-term internal initiatives focused on data infrastructure, quality, technical health, and promoting data-informed decision-making and new ways of working across the organization. • Guide engineering teams in developing cohesive data models that unify disparate data sources, creating an ecosystem of analysis-friendly datasets for research and analytics. • Design, implement, and maintain high-quality datasets and data pipelines using DBT, 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 for data-informed decisions within R&D.
Benefits
• Equity options mentioned as part of compensation: "Spotify offers competitive equity to all employees." • Paid Time Off (PTO) is included with benefits, but specific details are not given: "With Spotify'selimited time off and flexible work arrangements..." • Insurance coverage provided as part of the compensation package. • Perks such as free food mentioned in a separate section titled 'Perks': "...and perks like unlimited freshly cooked meals, onsite massages." • Remote work options are available for this position: "London / Stockholm - Engineering – Platform (Remote)"