At a Glance
- Tasks: Design and build scalable data pipelines for financial insights at Spotify.
- Company: Join Spotify, a leader in audio streaming, fostering creativity and innovation.
- Benefits: Flexible remote work, inclusive culture, and opportunities for personal growth.
- Other info: Collaborative environment with a focus on mentorship and inclusivity.
- Why this job: Shape the future of financial data and drive strategic decisions.
- Qualifications: Experience with data processing frameworks and strong analytical skills.
At Spotify, Financial Engineering is building the platform that powers Finance and enables strategic decision-making across the company. Our mission is to create trusted financial abstractions that make complexity manageable and insight actionable — supporting everything from premium and ads growth to forecasting, experimentation, and global reporting. As engineers in the Financial Data Platform team, we turn messy, fragmented realities into clean, reusable foundations. We build core datasets that represent key financial domains like Premium, Ads, and Royalties. We create libraries and tools that empower others to produce and trust financial data at scale. We collaborate deeply with Finance, Product, and Data teams to unlock clarity and drive Spotify’s ambitions forward. We are looking for engineers who are excited to shape the future of financial data at Spotify.
You will design and operate scalable pipelines that process billions of records. You will apply product thinking to financial data — managing the full lifecycle from sourcing to documentation to exposure. You will define abstractions that simplify complexity and create intuitive paths for our consumers. Together, we advocate for standards, champion quality, and build systems that others can rely on with confidence. If you thrive on building foundations that have broad, lasting impact, and want to work where financial data truly drives strategy, we’d love to work with you.
What You'll Do
- Acquire a comprehensive understanding of how financial data supports diverse consumer needs, from Finance to broader business customers.
- Build core datasets and financial abstractions that serve as sources of truth for strategic and operational decision-making.
- Design, prototype, and build scalable data pipelines that process billions of data points reliably.
- Apply product thinking to data: manage the full data product lifecycle from sourcing to documentation and exposition, always prioritising consumer needs and success.
- Advocate for and implement effective data quality, engineering standards, and reusability.
- Collaborate closely with engineers, data scientists, finance collaborators, and business teams to build flexible, intuitive data products.
- Define data models and abstractions that simplify access to complex financial domains like Premium, Ads, and Royalties.
- Contribute to building tools and libraries that enable other teams to build financial data products at scale.
- Leverage mentorship and constructive feedback to foster accountability, growth, and collaboration within the team.
Who You Are
- Experienced with Data Processing Frameworks: Skilled with higher-level JVM-based frameworks such as Flink, Beam, Dataflow, or Spark.
- Comfortable with Ambiguity: Able to work through loosely defined problems and thrive in autonomous team environments.
- Skilled in Cloud-based Environments: Proficient with large-scale data processing in cloud environments, preferably with experience in Google Cloud Platform.
- Strong Analytical Skills: Adept at breaking down complex problems and communicating insights effectively.
- Knowledgeable About Data Modeling: You treat data as a product, with strong data modeling capabilities.
- Passionate About Clean Code: Committed to writing high-quality, maintainable code and building robust data pipelines.
- Curious and Inquisitive: You have a deep curiosity about data and systems, always seeking to understand and improve them.
- Skilled in large-scale data processing: Comfortable working with SQL and platforms like BigQuery.
- Excellent Collaborator: You value positive relationships across technical and business domains.
Where You'll Be
This role is based in London, United Kingdom. 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.
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 revolutionising 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.
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.
Remote Senior Data Engineer - Financial Data Platform in Warrington employer: Spotify
Spotify is an exceptional employer that fosters a culture of inclusivity and collaboration, making it an ideal place for Senior Data Engineers to thrive. With the flexibility to work remotely from London, employees benefit from a supportive environment that prioritises personal growth and professional development, while contributing to impactful financial data solutions that drive strategic decision-making across the company. Join us to be part of a team that values diverse perspectives and empowers you to shape the future of financial data in a dynamic and innovative setting.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Senior Data Engineer - Financial Data Platform in Warrington
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Prepare for those interviews! Research Spotify's financial data platform and think about how your skills can contribute. Show them you’re not just another candidate, but the perfect fit.
✨Tip Number 3
Practice makes perfect! Do mock interviews with friends or use online platforms. The more comfortable you are talking about your experience, the better you'll shine.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team!
We think you need these skills to ace Remote Senior Data Engineer - Financial Data Platform in Warrington
Some tips for your application 🫡
Know Your Stuff:Before you start writing, make sure you understand the role and the company. Dive into Spotify's mission and values, especially how they relate to financial data. This will help you tailor your application to show that you're not just a fit for the role, but also for the culture.
Showcase Your Skills:When detailing your experience, focus on the skills mentioned in the job description. Highlight your expertise with data processing frameworks and cloud environments. Use specific examples to demonstrate how you've tackled complex problems and contributed to data products in the past.
Be Authentic:Let your personality shine through! Spotify values diversity and individuality, so don’t be afraid to share your unique perspective and experiences. This is your chance to show us who you are beyond your technical skills.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets the attention it deserves. Plus, you’ll find all the details you need about the role and the team there!
How to prepare for a job interview at Spotify
✨Understand the Financial Data Landscape
Before your interview, dive deep into how financial data supports various consumer needs. Familiarise yourself with Spotify's financial domains like Premium, Ads, and Royalties. This knowledge will help you articulate how your skills can contribute to building core datasets and financial abstractions.
✨Showcase Your Technical Skills
Be ready to discuss your experience with data processing frameworks such as Flink, Beam, or Spark. Prepare examples of how you've designed scalable data pipelines in cloud environments, particularly Google Cloud Platform. Highlight your analytical skills and how you've tackled complex problems in past projects.
✨Emphasise Collaboration and Communication
Spotify values collaboration across teams, so be prepared to share experiences where you've worked closely with engineers, data scientists, and business teams. Discuss how you’ve built relationships and communicated insights effectively, showcasing your ability to advocate for data quality and engineering standards.
✨Demonstrate Your Passion for Clean Code
Express your commitment to writing high-quality, maintainable code. Share specific instances where you’ve implemented best practices in coding and data modelling. This will show that you treat data as a product and are dedicated to building robust data pipelines that others can rely on.