Remote Senior Data Engineer - Financial Data Platform in Newport

Remote Senior Data Engineer - Financial Data Platform in Newport

Newport Full-Time No working from home possible
Spotify

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 mentorship and a focus on quality.
  • Why this job: Shape the future of financial data and drive strategic decisions.
  • Qualifications: Experience with data processing frameworks and strong analytical skills required.

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 Newport 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 while being based in London, employees benefit from a supportive environment that prioritises personal growth and professional development. The company champions innovation in financial data, empowering engineers to build impactful solutions that drive strategic decision-making across the organisation.

Spotify

Contact Details:

Spotify Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Remote Senior Data Engineer - Financial Data Platform in Newport

Tip Number 1

Network like a pro! Reach out to folks in the industry, especially those at Spotify. Use LinkedIn to connect and engage with them. A friendly chat can open doors that applications alone can't.

Tip Number 2

Prepare for interviews by diving deep into financial data concepts. Brush up on your knowledge of data processing frameworks and cloud environments. Show us you’re not just a tech whiz but also understand how your work impacts the business.

Tip Number 3

Practice your problem-solving skills! We love candidates who can think on their feet. Try mock interviews or coding challenges to get comfortable with articulating your thought process under pressure.

Tip Number 4

Don’t forget to showcase your passion for clean code and data quality. Share examples from your past work where you’ve implemented best practices. We want to see how you advocate for standards and build reliable systems!

We think you need these skills to ace Remote Senior Data Engineer - Financial Data Platform in Newport

Data Processing Frameworks
JVM-based Frameworks (Flink, Beam, Dataflow, Spark)
Cloud-based Environments
Google Cloud Platform
Analytical Skills
Data Modeling
SQL

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter for the Senior Data Engineer role. Highlight your experience with data processing frameworks and cloud environments, as these are key to what we do at Spotify.

Showcase Your Projects:Include examples of past projects where you've built scalable data pipelines or worked with financial data. We love seeing how you've turned complex problems into clean solutions!

Be Authentic:Let your personality shine through in your application. We value diverse perspectives and want to know what makes you unique. Don’t be afraid to share your passion for data and engineering!

Apply Through Our Website:For the best chance of success, apply directly through our website. It’s the easiest way for us to see your application and get you on the path to joining our team!

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 prepared to discuss your experience with data processing frameworks such as Flink, Beam, or Spark. Highlight specific projects where you've designed scalable data pipelines or worked in cloud environments like Google Cloud Platform. Concrete examples will demonstrate your expertise and problem-solving abilities.

Emphasise Collaboration and Communication

Spotify values collaboration across teams, so be ready to share experiences where you've worked closely with engineers, data scientists, or finance teams. Discuss how you’ve built relationships and communicated insights effectively, as this will show your ability to thrive in a team-oriented environment.

Demonstrate Your Passion for Clean Code

Express your commitment to writing high-quality, maintainable code. Share examples of how you've implemented engineering standards and advocated for data quality in previous roles. This will resonate well with Spotify's focus on building robust data pipelines that others can rely on.