Job Description

Senior Data Engineer (Python, Spark, event-streaming and messaging platform).
Software Engineering | Cambridge, United Kingdom 
PCD320083

Teamwork makes the stream work.

From your first day At the organisation, 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.

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
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, distributed data-processing platform, event-streaming and messaging platform, Spark, workflow orchestration platform, or Presto.

Experience with public cloud platform, 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).