Backend Engineer – Insights Tooling at Spotify – Stockholm

Victrays; Stockholms kommun; Hybrid; SEK 669,600 - 892,800; Full time

Job summary

A leading tech company is seeking an experienced Backend Engineer for its Data & Infrastructure team. In this role, you will develop internal tools that empower analytics and data science teams, significantly influencing the technical architecture and roadmap. The ideal candidate has over 2 years of experience in building solutions for data-driven workflows, a solid proficiency in Python, and experience working with containerized systems on cloud platforms like Google Cloud. Flexibility for remote work is offered, with in-person meetings three times a week.

Qualifications

• 2+ years experience with Data Science and Analytics teams.
• Strong proficiency in Python and cloud platforms.
• Commitment to clean coding and automated testing.

Responsibilities

• Lead design and development of internal infrastructure.
• Build and maintain backend systems for analytics.
• Engage with stakeholders to influence technical decisions.
• Contribute to adoption of advanced analytics capabilities.

Skills

Proficiency in Python

Containerized systems development

Cloud platforms (preferably GCP)

Effective collaboration

Education

Technical degree or equivalent experience

Tools

Google Cloud Platform

Kubernetes

BigQuery (SQL)

Apache Beam (Scio)

Job description

Backend Engineer – Insights Tooling at Spotify – Stockholm

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.

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 flexibility to work from home with occasional in‑person meetings; you are expected to come in 3 times per week.