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- Tasks: Design and build scalable data pipelines for financial accuracy at Spotify.
- Company: Join Spotify's innovative Platform team, driving growth and creativity.
- Benefits: Flexible work options, competitive salary, and opportunities for professional development.
- Why this job: Make a real impact on financial systems for creators while working with cutting-edge technology.
- Qualifications: Experience with large-scale data ecosystems, SQL, and JVM-based languages.
- Other info: Collaborative environment with opportunities for career growth and continuous improvement.
The predicted salary is between 36000 - 60000 £ per year.
The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers.
Bard is a critical squad within Spotify’s Financial Engineering (FinE) Solutions area. We build and maintain the systems that ensure accurate, timely royalties and financial reporting for Audiobook and Lyrics licensors — supporting some of Spotify’s most strategically important creator-focused products. We’re a cross-functional, collaborative team of backend and data engineers working closely with Finance and the Audiobooks mission to deliver trustworthy, scalable systems.
What You'll Do
- Design, build, and evolve scalable data pipelines and systems that ensure financial accuracy and integrity at scale.
- Explore and apply Spotify’s Data and AI ecosystem to solve engineering problems and improve developer efficiency.
- Partner closely with Finance and Audiobooks stakeholders to understand their needs and deliver financially impactful features.
- Deep-dive into the Audiobooks royalties domain and support feature development across reporting and payout workflows.
- Contribute to design discussions, architectural decisions, code reviews, and team-wide engineering practices.
- Lead the delivery of small projects or workstreams within your first months on the team.
- Continuously evaluate and improve the team’s tools, quality standards, and ways of working.
Who You Are
- You know how to work with large-scale data ecosystems and are comfortable with SQL and distributed processing tools (e.g., Spark, Beam, Scio, or similar).
- You are experienced with JVM-based or similar languages (e.g., Scala, Java, or other production-grade languages), and you learn new technologies quickly.
- You have a deep understanding of data modeling, pipeline design, and how to build reliable systems in a fast-moving environment.
- You care about using AI as a practical tool — from prompting to agentic workflows — to support engineering decision-making and accelerate delivery.
- You enjoy collaborating closely with partners, guiding them through end-to-end solutions and ensuring clarity and shared understanding.
- You have experience contributing to testing and quality practices using frameworks such as Cucumber or comparable tooling.
- You care about continuously improving how the team works in a constructive way, calling to action and taking the lead on proposed ideas.
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.
Data Engineer - Financial Engineering in London employer: Spotify
Contact Detail:
Spotify Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Financial Engineering in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Spotify or similar companies. Use LinkedIn to connect and engage with them — you never know who might have the inside scoop on job openings!
✨Tip Number 2
Prepare for those interviews by diving deep into the role. Brush up on your SQL skills and get familiar with data pipelines. Show us you can talk the talk about financial accuracy and scalable systems — that’ll definitely impress!
✨Tip Number 3
Don’t just apply and wait! Follow up on your applications. A quick message to express your enthusiasm can set you apart. We love seeing candidates who are proactive and genuinely interested in joining our team.
✨Tip Number 4
Check out our website for the latest job openings and updates. Applying directly through our site not only shows your interest but also helps us keep track of your application. Let’s make it happen together!
We think you need these skills to ace Data Engineer - Financial Engineering in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Engineer role. Highlight your experience with SQL, distributed processing tools, and any relevant projects you've worked on. We want to see how you can contribute to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about financial engineering and how your background makes you a great fit for our squad. Don’t forget to mention your collaborative spirit and eagerness to learn new technologies.
Showcase Your Projects: If you've worked on any relevant projects, whether in a professional or personal capacity, make sure to include them. We love seeing practical examples of your work with data pipelines and systems, especially if they demonstrate your problem-solving skills.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Spotify
✨Know Your Data Tools
Make sure you brush up on your SQL and any distributed processing tools like Spark or Beam. Be ready to discuss how you've used these technologies in past projects, as well as any challenges you faced and how you overcame them.
✨Understand Financial Engineering
Familiarise yourself with the basics of financial reporting and royalties, especially in the context of audiobooks. This will help you connect better with the team and show that you're genuinely interested in the role and its impact on Spotify's creator-focused products.
✨Showcase Your Collaboration Skills
Prepare examples of how you've worked closely with stakeholders in previous roles. Highlight your ability to guide partners through end-to-end solutions and ensure clarity in communication, as this is crucial for the cross-functional nature of the team.
✨Emphasise Continuous Improvement
Be ready to discuss how you've contributed to improving team processes or tools in the past. Share specific instances where you took the lead on initiatives that enhanced quality standards or team efficiency, as this aligns with the team's values.
