Senior Data Engineer, Python, Spark in Salford

About the Team

The mission of Roku’s Data Engineering team is to develop a world‑class big data platform that empowers both internal and external partners to leverage data and drive business growth. The team works closely with business stakeholders and engineering colleagues to collect, transform and surface metrics that are critical to the success of new and existing initiatives.

About the Role

As a Senior Data Engineer in the Viewer Product Device & Themed Experiences team, you’ll play a pivotal role in designing data models and building scalable pipelines to capture business metrics across Roku devices, Roku Powered TVs, web, and mobile clients. This work is essential to helping Roku understand which features resonate most with users and how we can continue to improve their experience. The role is offered on a hybrid basis, based from our Cambridge Office, UK.

What You’ll Be Doing

• Building highly scalable, fault‑tolerant distributed data processing systems (batch and streaming) that handle tens of terabytes of data each day, supporting a petabyte‑scale data warehouse.
• Designing and developing robust data solutions, streamlining complex datasets into simplified, self‑service models.
• Developing pipelines that ensure high data quality and resilience to imperfect source data.
• Defining and maintaining data mappings, business logic, transformations and data quality standards.
• Debugging low‑level systems, measuring performance and optimising large production clusters.
• Taking part in architecture discussions, influencing the product roadmap, and owning new initiatives from concept to delivery.
• Maintaining and evolving existing platforms, introducing modern technologies and architectures where appropriate.

We're Excited If You Have

• Strong SQL skills.
• Proficiency in at least one scripting language – Python is required.
• Proficiency in at least one object‑oriented language.
• Experience with big data technologies such as HDFS, YARN, MapReduce, Hive, Kafka, Spark, Airflow, or Presto.
• Experience with AWS, GCP, or Looker (advantageous but not essential).
• Solid background in data modelling, including the design, implementation and optimisation of conceptual, logical, and physical models for scalable architectures.
• A degree in Computer Science (BS required; MS preferred).

Our Hybrid Work Approach

Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or who are in offices with a five‑day in‑office policy.

Benefits

Roku offers a comprehensive benefits package that includes global access to mental health and financial wellness support and resources. Local benefits may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off in accordance with local leave policies and other personal needs.

Accommodations

Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.