Data Engineer Ads Auction Platform

Salary: £60,000 - 100,000 per year

Requirements

• Senior-level data engineering experience in Python, ideally with exposure to advertising or auction data
• Strong Airflow orchestration experience, including DAGs, scheduling, idempotency, and backfills
• Solid SQL and data modelling skills for analytics at scale
• Experience with distributed processing frameworks such as Spark
• Demonstrated AI and agentic-tooling fluency, including building with tools such as Claude Code, Cursor, MCP servers, custom skills, or agent frameworks
• Clear communicator who can explain reasoning and trade-offs, not just conclusions

Responsibilities

• Design and build data pipelines that turn advertising and auction events into reliable, analysis-ready data
• Own Airflow-based orchestration, including DAG design, scheduling, backfills, and reliability
• Build and maintain data models and SQL-based warehouse and lakehouse structures for Ads
• Apply distributed data processing, such as Spark, to handle scale and performance requirements
• Partner with engineering and business stakeholders to define and track key Ads metrics
• Communicate technical trade-offs clearly to engineering and cross-functional partners

Technologies

• AI
• Airflow
• Big Data
• Claude Code
• Cursor
• Support
• MCP
• Python
• Roku
• SQL
• Spark
• AI Agents
• LESS
• REST

More

We are Roku, the #1 TV streaming platform in the U.S., Canada, and Mexico, and we are working to power every television in the world. Our Data Engineering team develops a world-class big data platform so internal and external customers can use data to grow their businesses, and this role sits within our Auctions/Marketplace org as a senior data engineer focused on ads metrics. You will help build and own the pipelines that turn raw advertising and auction events into reliable, queryable data, working closely with our hiring managers and the wider Ads engineering group. This is a Manchester-anchored UK role, and we generally work in the office Monday through Thursday with Fridays typically flexible for remote work, depending on role and location. We offer a comprehensive benefits package that may include mental health and financial wellness support, healthcare, life, accident, disability, commuter, and retirement options, plus time off in line with local policies. We foster a fast-paced, collaborative culture where people are focused on company success, act boldly, and solve problems by building and delivering real solutions.

last updated 34 week of 2026