Senior Data Engineer - Financial Data Products
Stockholm
Applications have closed
Spotify
We grow and develop and make wonderful things happen together every day. It doesn't matter who you are, where you come from, what you look like, or what music you love. Join the band!As a senior data engineer in the Overtone squad, you will support Finance’s efforts through the curation, production, and management of core financial data products. These high-quality datasets represent revenue and costs derived from ads, content, subscriptions, and partnerships while enabling critical initiatives such as Forecasting, Financial Reporting, and Financial Planning.
What you'll do
- Design, prototype, and build data pipelines processing billions of data points daily.
- Advocate for and implement best practices around data quality and engineering.
- Apply product thinking to data: manage the data product lifecycle from sourcing to documentation and exposition while always keeping consumers’ success and experience in mind.
- Partner with engineers, data scientists, and business teams to create flexible and intuitive data products supporting Spotify globally.
- Learn from and collaborate with cross-functional financial stakeholders and develop an appreciation for their domain- Leverage mentorship and constructive feedback to drive accountability and growth within the team.
Who you are
- Have a degree in Computer Science or a similar field.
- 3+ years of professional software engineering and programming experience (SQL, Java, C++, Scala, Python)- 3+ years of architecture and design (patterns, reliability, scalability, quality) of complex systems.
- Strong analytical and problem-solving ability with advanced written and verbal communication skills.
- Advanced coding skills, experience in distributed systems, functional principles & performance optimization.
- T-Shaped. Your primary area is data engineering but you are comfortable with second areas such as data presentation, backend engineering, or front-end development.
- Professional experience working in an agile environment.
- Comfortable with tackling very loosely defined problems, especially when working on a team that has autonomy in their day-to-day decisions.
- Have performed an analysis of large datasets in a cloud-based environment, preferably with an understanding of Google’s Cloud Platform.
- Experience with Google Cloud Platform is beneficial.
- Experience in mentoring and leading junior engineers is a plus.
Where you'll be
- We are a distributed workforce enabling our band members to find a work mode that is best for them!
- Where in the world? For this role, it can be within the Europe region in which we have a work location.
- Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences.
- Working hours? We operate within the Central European Time zone for collaboration.
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.
Global COVID and Vaccination DisclosureSpotify is committed to safety and well-being of our employees, vendors and clients. We are following regional guidelines mandating vaccination and testing requirements, including those requiring vaccinations and testing for in-person roles and event attendance. For the US, we have mandated that all employees and contractors be fully vaccinated in order to work in our offices and externally with any third-parties. For all other locations, we strongly encourage our employees to get vaccinated and also follow local COVID and safety protocols.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Computer Science Data pipelines Distributed Systems Engineering Finance GCP Google Cloud Pipelines Python Scala SQL Streaming Testing
Perks/benefits: Career development Flex hours Flex vacation
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