Backend Engineer - Insights Tooling
Stockholm
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Spotify
We grow and develop and make wonderful things happen together every day. It doesn't matter who you are, where you come from, what you look like, or what music you love. Join the band!
We're looking for an experienced Backend Engineer (Insights Tooling) to join our Data & Infrastructure team within Spotify's Business Strategy and Insights group. In this impactful role, you will significantly influence the direction of our technical architecture and roadmap. Your primary focus will be developing internal tools and systems to empower analytics and data science teams, ensuring they have the right capabilities as we adopt an increasingly diverse range of agentic tools.
You will play a key role in enhancing the productivity of data scientists and analysts, building solutions to streamline complex analytical processes and providing tools that directly enable their success. Your ability to proactively understand business objectives and translate them into technical solutions will be essential.
Our current technology stack includes Google Cloud Platform, leveraging Kubernetes and an internal stack for deployment, with backend services written primarily in Java and Python, alongside BigQuery (SQL) and Apache Beam (Scio) for data ETL and analytics.
You will play a key role in enhancing the productivity of data scientists and analysts, building solutions to streamline complex analytical processes and providing tools that directly enable their success. Your ability to proactively understand business objectives and translate them into technical solutions will be essential.
Our current technology stack includes Google Cloud Platform, leveraging Kubernetes and an internal stack for deployment, with backend services written primarily in Java and Python, alongside BigQuery (SQL) and Apache Beam (Scio) for data ETL and analytics.
What You'll Do
- Lead the design and development of internal infrastructure and technical architecture, collaborating closely with Data Science and Analytics teams.
- Build and maintain backend systems and tooling that streamline analytics processes and support data-driven workflows.
- Engage deeply with stakeholders to understand analytics needs, proactively influencing technical decisions and anticipating infrastructure requirements.
- Contribute actively to the adoption and integration of agentic tools and advanced analytics capabilities within the team.
Who You Are
- 2 + years experience collaborating effectively with Data Science and Analytics teams to deliver impactful tooling and solutions.
- Proficiency in developing and operating containerized systems on modern cloud platforms (preferably GCP) with strong Python skills.
- A solid commitment to sound engineering practices, including continuous delivery, clean coding, and automated testing.
- A technical degree or equivalent practical experience demonstrating foundational technical expertise.
- Excellent communication skills, enabling effective cross-functional collaboration.
Where You'll Be
- This role can be based in Stockholm OR New York City
- 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. We ask that you come in 3 times per week.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Category:
Engineering Jobs
Tags: Architecture BigQuery Engineering ETL GCP Google Cloud Java Kubernetes Python SQL Testing
Region:
Europe
Country:
Sweden
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