Senior Data Engineer - Data Platform
About this role
The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers. The Data Platform team develops and maintains the infrastructure that supports Spotify’s data ecosystem. Within Data Platform, the Data Collection product area builds infrastructure that makes it easier to collect and consume data at scale. You’ll join a team focused on making user behaviour data seamless and reliable for data teams across Spotify. Collaborate with product and engineering teams to build and support critical data infrastructure and datasets. Build systems that collect and process user behaviour data at scale. Help power Spotify’s personalization and recommendation systems, as well as the tools teams use to build and test new features. Design and evolve data architectures that support high data volumes and a broad range of internal users. Improve the reliability, scalability, and usability of our data infrastructure. Work across disciplines to solve complex data challenges and make an impact across Spotify. You are an experienced Data Engineer, and proficient in backend development using Java. You are comfortable working with large-scale datasets using SQL and platforms such as BigQuery. You have experience with JVM-based data processing frameworks such as Flink, Beam, Dataflow, or Spark. You are familiar with DevOps practices, cloud infrastructure, containerized applications, and Kubernetes fundamentals. You have experience with data modeling and schema design. You care about high-quality code and engineering practices such as continuous delivery and automated testing. You value experimentation, iterative development, and collaborative software development practices. You are comfortable navigating ambiguity and open-ended problems, using data and sound judgment to make decisions. This role is based in London 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.
What this role is, and what else it is called
Employers in London advertise this kind of work as Data Analyst, Senior Data Engineer, Data Engineer and Data Scientist too, so it is worth searching more than one wording. It is a senior Data, AI & Machine Learning role in London, advertised as hybrid, splitting time between home and the office.
About hiring at Lifeatspotify
Lifeatspotify has 14 other live technology roles on its careers page, across Software Engineering, Data, AI & Machine Learning and IT Leadership & Management. Of those, 33% are advertised as fully remote and 67% as hybrid. Elsewhere in its adverts Lifeatspotify asks for Machine Learning, PyTorch, TypeScript, React and TensorFlow. See all Lifeatspotify roles, salaries and stack.
How this role compares to the market
1,305 live UK roles list Java right now, from 330 employers. The median advertised salary is £90,000; 32% are advertised as remote. Browse Java roles.
802 live UK roles list Kubernetes right now, from 246 employers. The median advertised salary is £97,250; 38% are advertised as remote. Browse Kubernetes roles.
London has 4,323 live IT vacancies across 1,366 employers, with a median advertised salary of £70,000. Browse London roles.
Senior roles make up 1,632 of the live UK IT market and advertise a median of £80,000.
Market figures are today's snapshot of live UK roles on employer careers pages; see hiring trends.
Technologies mentioned
Detected on Lifeatspotify's careers page. ProdReady Recruitment lists this vacancy as an aggregator and is not the employer; applications go to the employer's own site. More IT jobs in London.