At a Glance
- Tasks: Design and maintain backend systems that power millions of transactions daily.
- Company: Join Spotify, a leader in the music streaming industry with a dynamic work culture.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative environment focused on continuous improvement and shared ownership.
- Why this job: Make a real impact on financial operations while working with cutting-edge technology.
- Qualifications: 1+ years in data engineering and familiarity with cloud-native development.
The predicted salary is between 40000 - 50000 € per year.
Requirements
- You have 1+ years of experience in data engineering, including building and maintaining data pipelines.
- You possess a foundational understanding of system design, data structures, and algorithms, coupled with a strong desire to learn quickly, embrace feedback, and continuously improve your technical skills.
- You’re familiar with cloud-native development and deployment, ideally within the Google Cloud Platform.
- You think critically about system design and strive to build solutions that are reliable, maintainable, and auditable at scale.
- You have good communication skills and can articulate your ideas and ask clarifying questions.
- You love collaborating with others.
- You thrive in ambiguous and fast-changing environments, and know how to make progress even when requirements are evolving.
- You approach platform engineering with empathy for your users — prioritising usability, configurability, and long-term sustainability.
- You care deeply about code quality, testing, and documentation, and you aim to build systems that are easy to understand and operate.
- You enjoy collaborating across functions and bring clarity and alignment when working with engineering, finance, and product partners.
- You’re naturally curious, self-motivated, and always looking for ways to grow your technical skills and improve how things are done.
What the job involves
- As engineers on this team, we design and maintain the backend and data platform capabilities that power millions of transactions each day with precision.
- We build services that handle tax calculations, produce compliant financial records, and support regulatory requirements across global markets — all while staying agile to keep up with Spotify’s evolving business models.
- We equip Finance teams with flexible, configurable tools that govern how revenue and taxes are applied across products, enabling rapid adjustments without needing deep technical expertise.
- Our modular, process-oriented components simplify the development, maintenance, and scaling of the critical Order to Cash enterprise process that underpin Spotify’s financial operations.
- Gain deep expertise in Spotify’s revenue platform, understanding how it enables financial operations, compliance, and strategic decision-making.
- Design and implement scalable backend and data systems that process millions of transactions daily — supporting accurate tax calculation, billing, revenue recognition, financial configuration, and tax reporting.
- Build intuitive, self-serve tools that empower Finance teams to define and manage product-specific revenue and tax configuration independently, without requiring engineering involvement.
- Develop and enhance modular platform capabilities that encode critical enterprise workflows, promoting consistency, reusability, and ease of maintenance across financial systems.
- Lead the creation of new platform capabilities within the Tax Solutions space, focusing on Tax Reporting and global regulatory compliance.
- Partner closely with Engineers, Product and Finance stakeholders to design systems that are scalable, auditable, and highly reliable.
- Champion engineering best practices, strong architectural design, and operational excellence across backend and data platforms.
- Foster a collaborative team culture rooted in shared ownership, constructive feedback, and continuous improvement.
Data Engineer (Revenue) in London employer: Deepstreamtech
At Spotify, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As a Data Engineer, you'll have the opportunity to work with cutting-edge technology in a dynamic environment, where your contributions directly impact millions of users globally. We offer robust employee growth opportunities, a commitment to continuous learning, and a supportive atmosphere that values feedback and teamwork, making it an ideal place for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (Revenue) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving cloud-native development. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on system design and algorithms. Practice articulating your thought process clearly, as good communication is key. Mock interviews with friends or mentors can help you gain confidence.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight how your skills align with our mission and values.
We think you need these skills to ace Data Engineer (Revenue) in London
Some tips for your application 🫡
Show Off Your Experience:Make sure to highlight your 1+ years of experience in data engineering. Talk about the data pipelines you've built and maintained, and don’t forget to mention any cloud-native development experience, especially with Google Cloud Platform!
Be Clear and Concise:When writing your application, keep it clear and to the point. Use straightforward language to explain your understanding of system design, data structures, and algorithms. We want to see that you can communicate your ideas effectively!
Emphasise Collaboration:We love teamwork! Make sure to mention your collaborative experiences and how you’ve worked with different teams, like finance and product partners. Show us that you thrive in fast-changing environments and can adapt to evolving requirements.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and get to know you better. We’re excited to see what you bring to the table!
How to prepare for a job interview at Deepstreamtech
✨Know Your Data Engineering Basics
Make sure you brush up on your data engineering fundamentals, especially around building and maintaining data pipelines. Be ready to discuss your experience with system design, data structures, and algorithms, as these are key areas that the company will be interested in.
✨Familiarise Yourself with Google Cloud Platform
Since familiarity with cloud-native development is a requirement, take some time to get comfortable with Google Cloud Platform. Understand its services and how they can be applied to data engineering tasks, as this knowledge will likely come up during your interview.
✨Show Your Collaborative Spirit
This role emphasises collaboration across functions, so be prepared to share examples of how you've worked with others in the past. Highlight your communication skills and how you’ve successfully navigated ambiguous situations while keeping the team aligned.
✨Emphasise Your Curiosity and Growth Mindset
The company values self-motivation and a desire to learn. Be ready to discuss how you’ve pursued continuous improvement in your technical skills and how you approach problem-solving with empathy for users. This will show that you’re not just technically capable but also a great fit for their culture.
