At a Glance
- Tasks: Design and maintain backend systems that power millions of transactions daily.
- Company: Join a dynamic team at Spotify, shaping the future of financial operations.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative culture focused on innovation and continuous improvement.
- Why this job: Make a real impact on global financial systems while working with cutting-edge technology.
- Qualifications: 1+ years in data engineering, strong communication skills, and a passion for learning.
The predicted salary is between 30000 - 40000 € 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) 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)
✨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 feel more confident.
✨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 needs, and let your passion shine through!
We think you need these skills to ace Data Engineer (Revenue)
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 how they relate to the role. We want to see your skills in action!
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to explain your understanding of system design, data structures, and algorithms. We appreciate good communication skills, so make your ideas easy to grasp!
Emphasise Collaboration:Since we love working together, mention any experiences where you collaborated with others. Whether it's with engineers, finance, or product teams, show us how you bring clarity and alignment to projects.
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 can’t wait 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
The 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
Demonstrate your passion for continuous learning and improvement. Talk about any recent projects or skills you've developed, and express your eagerness to grow within the role. This will show that you're not just looking for a job, but a place where you can thrive and contribute.
