At Sonos we want to create the ultimate listening experience for our customers and know that it starts by listening to each other. As part of the Sonos team, you’ll collaborate with people of all styles, skill sets, and backgrounds to realize our vision while fostering a community where everyone feels included and empowered to do the best work of their lives.
This position is office-based, meaning regular in-person collaboration or use of office equipment is essential to maximize effectiveness for this team and position. Qualified applicants must live within commuting distance of our Glasgow office location and should expect to be in office a minimum of 4 days per week.
What You’ll Do
We are a product team responsible for maintaining and optimizing data pipelines hosted in AWS to support product analytics, KPIs, and data-driven decision-making. Our team ensures seamless data flow, high availability, and performance tuning while keeping costs optimized.
-
Develop, maintain, and optimize scalable data pipelines using Python and AWS-based services.
-
Manage and monitor ETL/ELT workflows with tools like Airflow, Lambda, and Glue to ensure data availability and integrity.
-
Work with large-scale datasets, improving storage efficiency and query performance.
-
Ensure pipeline reliability by implementing logging, monitoring, and alerting mechanisms.
-
Collaborate with cross-functional teams, including product managers, analysts, and engineers, to deliver high-quality data for decision-making.
-
Identify and resolve bottlenecks, ensuring efficient data transformation and processing.
-
Support cost optimization initiatives by evaluating and refining storage and compute resources.
-
Enhance data observability by implementing best practices for data quality, validation, and governance.
What You’ll Need
Basic Qualifications
-
1+ years of experience in Data Engineering or Software engineering or a related role.
-
Experience with AWS Cloud services
-
Strong proficiency in Python for data processing, and automation.
-
Experience with cloud services preferably AWS.
-
Hands-on experience with basic SQL and data modeling.
-
Experience with orchestrating ETL workflows using Apache Airflow or similar tools.
-
Familiarity with CI/CD pipelines (Terraform/Github Actions), and version control (Git).
-
Strong problem-solving skills and the ability to work in a fast-paced, agile environment.
Preferred Qualifications:
-
Experience with data lake architectures.
-
Knowledge of data governance, observability, and cost management best practices.
-
Prior experience working with IoT data pipelines.
Research shows that candidates from underrepresented backgrounds often don't apply for roles if they don't meet all the criteria. If you don’t have 100% of the skills listed, we strongly encourage you to apply if interested.
Visa Sponsorship: Sonos is unable to sponsor or take over sponsorship of an employment visa for this role at this time. We ask that applicants be authorized to work for any UK employer, both now and in the future.
#LI-Onsite
Your profile will be reviewed and you'll hear from us once we have an update. At Sonos we take the time to hire right and appreciate your patience.
Top Skills
What We Do
We connect millions of listeners all around the world to the content they want, where and how they want it. Since inventing multiroom wireless audio in 2005, we have continuously innovated the listening experience, designing hardware and software that celebrates sound, empowers our customers, and brings the home to life.
Our team is made up of passionate players united by a culture of respect, transparency, collaboration, and ownership who want to inspire the world to listen better.
Why Work With Us
Sonos is a global company that boasts a rich culture of diversity and innovation. With over 1,800 employees distributed across the world, we work remotely from home or an office location (when required). We value a diverse workforce that enables each employee to do the best work of their life and contribute to projects they are passionate about.
Gallery
_0.png)
