Senior Data Engineer, Python, Spark in Manchester

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. 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.

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.

This role is offered on a hybrid basis, based from our Manchester office, UK.

Responsibilities:

• 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.

Experience:

• 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).

Hybrid Working:

Roku fosters an inclusive and collaborative environment where teams generally work in the office Monday through Thursday. Fridays are generally flexible for remote work, except for employees whose specific roles or assigned office location require five days' a week attendance.

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.

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 appreciate a sense of humor and 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.