At a Glance
- Tasks: Lead a team of engineers to develop and manage Spotify's data platform.
- Company: Join Spotify, a leading tech company at the forefront of music streaming.
- Benefits: Enjoy hybrid work flexibility, competitive salary, and career development opportunities.
- Other info: Collaborative culture with a focus on personal growth and innovation.
- Why this job: Make a real impact on data systems that power millions of users worldwide.
- Qualifications: Experience in managing engineering teams and understanding of data systems.
The predicted salary is between 90000 - 110000 £ per year.
Engineering Manager - Data Platform Spotify London
Within the Data Platform studio, we own two critical pillars: our event delivery platform that collects trillions of events per day from producers to consumers, and another, which handles the pseudonymisation of data so Spotify can use data responsibly and in compliance with privacy regulations.
These systems sit at the heart of Spotify's data collection and are used by hundreds of teams across the company.
We're looking for an Engineering Manager to lead a team of six experienced engineers distributed across Europe.
You'll set the technical direction, ensure the team delivers high-impact work, and - just as importantly - invest deeply in the growth and careers of your engineers.
If you're energised by both the technical challenges of large-scale data systems and the human side of building a high-performing team, we'd love to hear from you.
- What You’ll Do
- Lead and develop a team of six experienced engineers, with a strong focus on coaching, career development, and creating an environment where people do the best work of their careers.
- Take accountability for the team's delivery, ensuring clear priorities, healthy execution, and measurable outcomes.
- Partner with product and stakeholders to shape the roadmap for event delivery and privacy infrastructure.
- Drive technical strategy and architectural decisions for systems operating at Spotify scale.
- Build a culture of ownership, psychological safety, and continuous improvement.
- Collaborate across Data Platform and the wider engineering organisation to align on shared goals and dependencies.
- Manage on-call health, operational excellence, and reliability for the team's services.
- Actively participate in hiring, onboarding, and growing the team's capabilities.
Who You Are
- You have experience managing teams of senior/experienced engineers and understand that people leadership is your primary craft, not a side responsibility.
- You have a track record of investing in engineers' careers - running meaningful development conversations, helping people grow into new roles, and creating clarity around expectations and progression.
- You're comfortable with distributed data systems, event-driven architectures, or data infrastructure at scale - you don't need to write the code, but you can engage credibly in technical discussions and unblock your team.
- You hold yourself and your team accountable for outcomes, not just activity.
- You communicate clearly and build trust across functions and time zones.
- You've worked with distributed teams and understand how to create cohesion and inclusion when people aren't in the same room.
- You're excited about the potential of AI and LLMs to transform how engineering teams work - whether that's accelerating development workflows, rethinking how data infrastructure is built and operated, or helping your team adopt AI-assisted tooling effectively.
- Where You’ll Be
- This role is based in London.
- 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.
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- #J-18808-Ljbffr
Data Platform Engineering Manager – Hybrid (London) employer: Spotify
At Spotify, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. As a Senior Product Manager for our design systems, you'll have the opportunity to shape the future of product development while working in a vibrant city like Stockholm, known for its creativity and tech-forward mindset. We offer flexible working arrangements, a commitment to employee growth through continuous learning, and a supportive environment where your contributions directly impact the user experience across our platform.
StudySmarter Expert Advice🤫
We think this is how you could land Data Platform Engineering Manager – Hybrid (London)
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Spotify!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Platform Engineering Manager – Hybrid (London) at Spotify.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Spotify.
✨Apply Directly through Our Website
When you find a suitable opening like Data Platform Engineering Manager – Hybrid (London) at Spotify, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Platform Engineering Manager – Hybrid (London)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Spotify, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Spotify. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Spotify
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Spotify!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
