Data Infrastructure Engineer - Data Platform
Spotify
Data Infrastructure Engineer - Data Platform
Job Description
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 frameworks, capabilities and tools needed to welcome a billion customers. Join us and help to amplify productivity, quality and innovation across Spotify.
We are looking for a Data Infrastructure Engineer to join our team in the Data Collection Product Area. We develop the heart of Spotify’s Event Delivery infrastructure, enabling hundreds of other teams to seamlessly collect more than a Trillion events per day and consume this data to empower Spotify's existing products as well as innovation of new products.
We are heavy users of Google Cloud Pub/Sub, GKE, Dataflow and many other GCP products and work closely with Google to improve their product offering. We also rely on internal backend and data platform products, built by other squads at Spotify.
Locations
- London, United Kingdom
Salary
Salary details available upon request
Estimated Salary Rangemedium confidence
90,000 - 150,000 GBP / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- backend and data engineering in Java and Scalaintermediate
- operating business-critical, huge scale distributed systems and cloud solutionsintermediate
- quality, system design, data structures, and algorithmsintermediate
- agile software processesintermediate
- data-driven developmentintermediate
- reliabilityintermediate
- responsible experimentationintermediate
- continuous integration and deliveryintermediate
- collaborative work and feedbackintermediate
Required Qualifications
- experience working with backend and data engineering in Java and Scala and have an understanding of that problem space and tooling ecosystem (experience)
- curious about solving technical challenges and operating business-critical, huge scale distributed systems and cloud solutions (experience)
- good understanding of quality, system design, data structures, and algorithms (experience)
- appreciate agile software processes, data-driven development, reliability, and responsible experimentation (experience)
- use standard methodologies in continuous integration and delivery (experience)
- work well independently and collaboratively, and are open to giving and receiving feedback in order to learn as an individual and as a team (experience)
Responsibilities
- Work on our infrastructure together with the squad, making it reliable and efficient while delivering value to data producers and consumers within Spotify
- Build large-scale Java and Apollo based backend systems and batch and real-time data pipelines with data processing frameworks like Scio and Apache Beam
- Take an active part in the operational responsibilities for our own infrastructure
- Work in an autonomous, multi-functional agile team and collaborate with other squads in our product area to continuously iterate and deliver on new product objectives
Benefits
- general: flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home
Tags & Categories
Data Infrastructure Engineer - Data Platform
Spotify
Data Infrastructure Engineer - Data Platform
Job Description
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 frameworks, capabilities and tools needed to welcome a billion customers. Join us and help to amplify productivity, quality and innovation across Spotify.
We are looking for a Data Infrastructure Engineer to join our team in the Data Collection Product Area. We develop the heart of Spotify’s Event Delivery infrastructure, enabling hundreds of other teams to seamlessly collect more than a Trillion events per day and consume this data to empower Spotify's existing products as well as innovation of new products.
We are heavy users of Google Cloud Pub/Sub, GKE, Dataflow and many other GCP products and work closely with Google to improve their product offering. We also rely on internal backend and data platform products, built by other squads at Spotify.
Locations
- London, United Kingdom
Salary
Salary details available upon request
Estimated Salary Rangemedium confidence
90,000 - 150,000 GBP / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- backend and data engineering in Java and Scalaintermediate
- operating business-critical, huge scale distributed systems and cloud solutionsintermediate
- quality, system design, data structures, and algorithmsintermediate
- agile software processesintermediate
- data-driven developmentintermediate
- reliabilityintermediate
- responsible experimentationintermediate
- continuous integration and deliveryintermediate
- collaborative work and feedbackintermediate
Required Qualifications
- experience working with backend and data engineering in Java and Scala and have an understanding of that problem space and tooling ecosystem (experience)
- curious about solving technical challenges and operating business-critical, huge scale distributed systems and cloud solutions (experience)
- good understanding of quality, system design, data structures, and algorithms (experience)
- appreciate agile software processes, data-driven development, reliability, and responsible experimentation (experience)
- use standard methodologies in continuous integration and delivery (experience)
- work well independently and collaboratively, and are open to giving and receiving feedback in order to learn as an individual and as a team (experience)
Responsibilities
- Work on our infrastructure together with the squad, making it reliable and efficient while delivering value to data producers and consumers within Spotify
- Build large-scale Java and Apollo based backend systems and batch and real-time data pipelines with data processing frameworks like Scio and Apache Beam
- Take an active part in the operational responsibilities for our own infrastructure
- Work in an autonomous, multi-functional agile team and collaborate with other squads in our product area to continuously iterate and deliver on new product objectives
Benefits
- general: flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home
Tags & Categories