> job detail
R
⚙️Data Engineer
Data Engineer, Ads Auction Platform
Roku · Manchester, United Kingdom
// classified as
Data Engineer (Pipelines, infra, ingestion, ETL.)
posted
1d ago
location
Manchester, United Kingdom
languages
python, sql
tools
—
> stack
pythonsqlairflow
> description
<div class="content-intro"><h2 style="font-family: GothamBold,Helvetica,Arial,sans-serif; color: #662d91;">Teamwork makes the stream work.</h2>
<p> </p>
<h3 style="font-family: GothamBold,Helvetica,Arial,sans-serif;"><strong>Roku is changing how the world watches TV</strong></h3>
<p>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.</p>
<p>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.</p>
<p> </p></div><h3 class="_heading_1ni73_90 _heading3_1ni73_104"><strong class="font-semibold">About the Team</strong></h3>
<p class="_markdownText_1ni73_69 _paragraph_1ni73_65">The Advertising Performance group focuses on performance for all participants in the Advertising ecosystem - Advertisers, Publishers and Roku. The systems and solutions span across different disciplines and technologies to perform realtime multi-objective optimization with distributed systems at large scale and low latencies. We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems and Auction Dynamics to solve a large set of complex problems. At the core of this is our Machine Learning, Experimentation and Inference Platform that powers the entire landscape which we continuously evolve over time.</p>
<h3 class="_heading_1ni73_90 _heading3_1ni73_104"><strong class="font-semibold">About the Role</strong></h3>
<p class="_markdownText_1ni73_69 _paragraph_1ni73_65">In this role, you will build and maintain data pipelines and analytics infrastructure that power Roku’s CTV advertising auction platform. You will support marketplace optimization by delivering high-quality datasets for advertiser performance, publisher yield, and revenue analysis across batch and near real-time workflows. You will partner with product, analytics, and data science teams to translate business needs into well-modeled, reliable data products. You will contribute to experimentation, simulation, and reporting foundations that inform bidding strategy and monetization decisions. This role is ideal for an engineer who enjoys high-scale data systems, strong data quality practices, and measurable business impact.</p>
<h3 class="_heading_1ni73_90 _heading3_1ni73_104"><strong class="font-semibold">What You'll Be Doing</strong></h3>
<ul class="_markdownText_1ni73_69 _list_1ni73_116 _unorderedList_1ni73_130">
<li class="_markdownText_1ni73_69 _listItem_1ni73_151">Design and maintain data pipelines and analytics infrastructure supporting Roku’s CTV advertising auction platform</li>
<li class="_markdownText_1ni73_69 _listItem_1ni73_151">Build ETL/ELT workflows in Airflow to process auction events including delivery, bids, impressions, pricing, budget usage, and frequency cap signals</li>
<li class="_markdownText_1ni73_69 _listItem_1ni73_151">Create scalable batch and streaming pipelines for billions of daily ad events with strong freshness, accuracy, and schema consistency</li>
<li class="_markdownText_1ni73_69 _listItem_1ni73_151">Model datasets for multi-objective optimization and marketplace analytics across advertiser, publisher, and platform outcomes</li>
<li class="_markdownText_1ni73_69 _listItem_1ni73_151">Design aggregated tables and materialized views to support closed-loop analysis of auction results and bidding behavior</li>
<li class="_markdownText_1ni73_69 _listItem_1ni73_151">Own integrations from DSPs, programmatic exchanges, and direct campaigns and standardize schemas for unified reporting</li>
<li class="_markdownText_1ni73_69 _listItem_1ni73_151">Partner with data scientists, analysts, and product teams to deliver clean, discoverable, and trusted datasets</li>
<li class="_markdownText_1ni73_69 _listItem_1ni73_151">Enable yield and gross profit analysis through dimensional models, win-rate metrics, demand health indicators, and experiment measurement tables</li>
<li class="_markdownText_1ni73_69 _listItem_1ni73_151">Build data foundations for A/B testing analysis, auction simulation, offline replay, and post-campaign reporting</li>
<li class="_markdownText_1ni73_69 _listItem_1ni73_151">Implement data quality checks, monitoring, and observability while supporting privacy and governance requirements</li>
</ul>
<h3 class="_heading_1ni73_90 _heading3_1ni73_104"><strong class="font-semibold">We're Excited If You Have</strong></h3>
<ul class="_markdownText_1ni73_69 _list_1ni73_116 _unorderedList_1ni73_130">
<li class="_markdownText_1ni73_69 _listItem_1ni73_151">Experience designing and operating production data pipelines at scale</li>
<li class="_markdownText_1ni73_69 _listItem_1ni73_151">Strong SQL and Python skills and hands-on Airflow experience</li>
<li class="_markdownText_1ni73_69 _listItem_1ni73_151">Experience with both batch and streaming data architectures</li>
<li class="_markdownText_1ni73_69 _listItem_1ni73_151">Familiarity with cloud data platforms and distributed processing systems</li>
<li class="_markdownText_1ni73_69 _listItem_1ni73_151">Experience modeling event-driven data for analytics and experimentation</li>
<li class="_markdownText_1ni73_69 _listItem_1ni73_151">Knowledge of ad tech data concepts such as auctions, bids, pacing, and yield</li>
<li class="_markdownText_1ni73_69 _listItem_1ni73_151">Strong fundamentals in data quality, lineage, monitoring, and governance</li>
<li class="_markdownText_1ni73_69 _listItem_1ni73_151">Ability to partner effectively with cross-functional technical and business teams</li>
</ul>
<h6 class="_heading_1ni73_90 _heading6_1ni73_111">#LI-MS3</h6><div class="content-conclusion"><p> </p>
<h3 style="font-family: GothamBold,Helvetica,Arial,sans-serif;"><strong>Our Hybrid Work Approach</strong></h3>
<p>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.</p>
<p> </p>
<h3 style="font-family: GothamBold,Helvetica,Arial,sans-serif;"><strong>Benefits</strong></h3>
<p>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.</p>
<p> </p>
<h3 style="font-family: GothamBold,Helvetica,Arial,sans-serif;"><strong>Accommodations</strong></h3>
<p>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 <a href="mailto:employeerelations@roku.com?subject=Job%20Application%20Accommodations">EmployeeRelations@Roku.com</a>.</p>
<p> </p>
<h3 style="font-family: GothamBold,Helvetica,Arial,sans-serif;"><strong>The Roku Culture</strong></h3>
<p>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. </p>
<p>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. </p>
<p>To learn more about Roku, our global footprint, and how we've grown, visit <a href="https://www.weareroku.com/factsheet">https://www.weareroku.com/factsheet</a>.</p>
<p>By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's <a href="https://www.weareroku.com/roku-job-applicant-privacy-notice-for-job-applicants">Applicant Privacy Notice</a>, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing <a href="mailto:workforceprivacy@roku.com?subject=Unsubscribe%20Request%20" target="_blank">WorkforcePrivacy@Roku.com</a>.</p></div>