Senior Data Engineer (Python + Spark) — Scalable Pipelines in Cambridge

Teamwork makes the stream work. Roku is changing how the world watches TV. Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.

From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.

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.

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.

About the Role: Roku pioneered TV streaming. We connect users to the content they love, enable publishers to build and monetise large audiences, and give advertisers unique opportunities to engage consumers. Roku streaming players and Roku TV™ models are available worldwide through direct retail and licensing partnerships with TV brands and pay-TV operators. With tens of millions of devices sold across multiple countries, thousands of streaming channels, and billions of hours watched, a scalable, reliable and fault-tolerant big data platform is critical to our continued success. This 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 employees who are in offices with a five day in office policy.

Benefits: Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which 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 to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.

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.

The Roku Culture: Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.

We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.