Join Truecaller – The place where innovation meets impact! Truecaller's mission is to build trust in communication by making it safer, smarter, and more efficient. Born in Sweden, trusted by the world, and here’s why we stand out: We are trusted by over 500 million active users every month across 190+ countries We identify over 15 billion calls daily, helping users avoid spam and scams We are powered by a team of 400+ employees from 45+ nationalities We always look for people who take initiative, own their work, and keep raising the bar. An entrepreneurial mindset matters here, especially when it turns bold ideas into real actions. We stay collaborative and focused, always searching for smarter paths forward. If you want to make an impact and grow with a team that inspires millions, you’ll fit right in. The role: As a Senior Data Engineer, you will design and build scalable data pipelines and data infrastructure that power Smart SMS features, including SMS categorization, fraud detection, spam intelligence, and AI-driven capabilities. You will work closely with Data Scientists, Data Analysts, and Product teams to develop robust data platforms, enable feature engineering for ML models, and deliver reliable datasets that drive product insights and decision-making for over a million daily users. What you'll do: Maintain and improve the ingestion pipeline to reliably deliver billions of events daily within defined SLAs Provide support for all teams in building and optimizing their complex pipelines Work closely with other teams to identify pain points and problems around the platform Develop new tools and frameworks to improve the data platform Facilitate a company-wide, data-driven culture Work in close collaboration with data scientists and data analysts to help support their work going into production Work on large-scale projects such as building an ML platform and streaming use cases Set up best practices and processes around software and data development What you b
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Role overview
Job description
How does a company with thousands of people building hundreds of products stay focused on what matters most? That's the question the Company Planning and Execution (CPE) team works on every day. We design the systems, processes, and insights that help Spotify plan, prioritise, and deliver at scale.
As a Data Scientist on CPE, you'll sit at the intersection of data, strategy, and operations. You'll bring clarity to complex questions by turning operational and strategic information into clear stories, recommendations, and decision frameworks that help leaders and teams act faster and smarter. You'll also explore how AI and automation can change the way people access insights and make decisions.
You'll work closely with data scientists, engineers, PMs, and business partners across the company to help refine how Spotify executes at scale. If you like making sense of ambiguity, care about how organisations work, and want your analysis to shape real decisions, this is the role.
What You'll Do
Formulate hypotheses related to how Spotify plans and delivers, and communicate insights effectively to a range of audiences.
Apply analytical techniques — including statistical models and machine learning — to identify trends and generate insights that improve how we work.
Build and maintain the data models, pipelines, and dashboards that provide visibility into how Spotify plans and executes.
Develop structured narratives and recommendations — not just charts, but the "why" and "so what" — in our semi-annual Planning and Execution Insight reports and recurring briefings.
Explore how AI and automation can make insights faster to produce and easier to access across the company.
Who You Are
Curious about how organisations work — not just the data, but the decisions and systems behind it.
5+ years of experience with a quantitative background in science, economics, engineering, or a related field.
Strong interpersonal skills and comfortable working with multiple stakeholders across levels and functions.
Able to take messy, complex datasets and turn them into clear recommendations and stories that land with non-technical audiences.
Proficient in SQL and Python, comfortable in BigQuery, and experienced with tools like dbt, Tableau, or Looker.
Experience with operational or work management data is a plus.
Where You'll Be
This role is based in London or Stockholm.
We offer you the flexibility to work where you work best, with 2–3 days per week in the office.
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.
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.
What they are looking for
Skills & requirements
Qualification
5+ years of experience with a quantitative background in science, economics, engineering, or a related field
Department · Operations & Business Support
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Hiring company
Spotify
Technology
Spotify is a digital music service that gives you access to millions of songs, podcasts, and audiobooks. Listen to your favorites online now.
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