Senior Data Engineer

Roku; Cambridge; Hybrid; GBP 60,000 - 100,000; Full time

Job summary

Roku in Cambridge invites a Senior Data Engineer to build scalable, fault-tolerant data platforms for batch and streaming workloads. You will support a petabyte-scale data warehouse, design robust data solutions, and drive high-quality pipelines across complex datasets.

The role is hybrid, based in our Cambridge office, with flexible Fridays for remote work and a comprehensive benefits package. Strong SQL, Python, and OO programming are essential, along with experience in cloud and AI tooling.

Qualifications

• Strong SQL skills.
• Proficiency in Python.
• Proficiency in at least one object-oriented language.
• Experience with big data technologies (HDFS, YARN, MapReduce, Hive, Kafka, Spark, Airflow, Presto).
• Experience with AWS, GCP, or Looker is advantageous.
• BS in Computer Science; MS preferred.
• Curiosity and adaptability with AI tools and automation.
• Experience with agentic engineering tools (Claude Code, Cursor, MCP servers, custom skills, or agent frameworks).
• Ability to drive an AI agent, verify its output, and ramp up on unfamiliar codebases with agent support.

Responsibilities

• Build scalable, fault-tolerant distributed data processing systems for batch and streaming workloads handling tens of terabytes daily.
• Support a petabyte-scale data warehouse.
• Design and develop data solutions that simplify complex datasets into self-service models.
• Develop pipelines ensuring high data quality and resilience to imperfect data.
• Define and maintain data mappings, business logic, transformations, and data quality standards.
• Debug low-level systems, measure performance, and optimise large production clusters.
• Participate in architecture discussions and own initiatives from concept to delivery.
• Maintain and evolve platforms with modern technologies and architectures.

Skills

SQL

Python

OO language

Big data

AWS

GCP

Looker

Data modelling

AI tools

Agent frameworks

Education

Bachelor of Science in Computer Science

MS preferred

Tools

Claude Code

Cursor

MCP servers

Custom skills

Agent frameworks

AWS

GCP

Job description

Salary: £60,000 - 100,000 per year

Requirements:

• Strong SQL skills.
• Proficiency in Python.
• Proficiency in at least one object-oriented programming language.
• Experience with big data technologies such as HDFS, YARN, MapReduce, Hive, Kafka, Spark, Airflow, or Presto.
• Experience with AWS, GCP, or Looker is advantageous.
• 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; a BS is required and an MS is preferred.
• Curiosity and adaptability working with AI tools and automation.
• Experience using agentic engineering tools such as Claude Code, Cursor, MCP servers, custom skills, or agent frameworks.
• Ability to drive an AI agent, verify its output, and ramp up on unfamiliar codebases with agent support.

Responsibilities:

• Build highly scalable, fault-tolerant distributed data processing systems for batch and streaming workloads handling tens of terabytes of data each day.
• Support a petabyte-scale data warehouse.
• Design and develop robust data solutions that streamline complex datasets into simplified self-service models.
• Develop pipelines that ensure high data quality and resilience to imperfect source data.
• Define and maintain data mappings, business logic, transformations, and data quality standards.
• Debug low-level systems, measure performance, and optimise large production clusters.
• Participate in architecture discussions, influence the product roadmap, and own new initiatives from concept to delivery.
• Maintain and evolve existing platforms, introducing modern technologies and architectures where appropriate.

Technologies:

• AI
• Airflow
• AWS
• Big Data
• Claude Code
• Cursor
• Data Warehouse
• GCP
• Hive
• Support
• Kafka
• Looker
• MCP
• Python
• Roku
• SQL
• Spark
• Yarn
• Cloud
• AI Agents
• LESS
• Mobile
• Web

More:

We are Roku, the #1 TV streaming platform in the U.S., Canada, and Mexico, and we are on a mission to power every television in the world by connecting consumers, content publishers, and advertisers across the TV ecosystem. Our Data Engineering team builds a world-class big data platform that helps internal and external partners leverage data to drive business growth, and this Senior Data Engineer role sits within our Viewer Product Device & Themed Experiences team. This is a hybrid role based in our Cambridge office in the UK. We foster an inclusive, collaborative, and fast-paced environment, with teams generally in the office Monday through Thursday and flexible remote work on Fridays, where our people focus on delivering results, working with humour, and solving problems together. We also offer a comprehensive benefits package that may include healthcare, retirement options, mental health and financial wellness support, and paid leave, depending on location and role.

last updated 40 week of 2026