At a Glance
- Tasks: Build and maintain data pipelines for Roku’s CTV advertising auction platform.
- Company: Join a leading tech company revolutionising the advertising landscape.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative team culture focused on innovation and data quality.
- Why this job: Make a measurable impact in a high-scale data environment with cutting-edge technology.
- Qualifications: Strong SQL, Python skills, and experience with data pipelines and cloud platforms.
The predicted salary is between 60000 - 80000 £ per year.
Requirements
- Experience designing and operating production data pipelines at scale
- Strong SQL and Python skills and hands-on Airflow experience
- Experience with both batch and streaming data architectures
- Familiarity with cloud data platforms and distributed processing systems
- Experience modeling event-driven data for analytics and experimentation
- Knowledge of ad tech data concepts such as auctions, bids, pacing, and yield
- Strong fundamentals in data quality, lineage, monitoring, and governance
- Ability to partner effectively with cross-functional technical and business teams
What the job involves
- 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
- Design and maintain data pipelines and analytics infrastructure supporting Roku’s CTV advertising auction platform
- Build ETL/ELT workflows in Airflow to process auction events including delivery, bids, impressions, pricing, budget usage, and frequency cap signals
- Create scalable batch and streaming pipelines for billions of daily ad events with strong freshness, accuracy, and schema consistency
- Model datasets for multi-objective optimization and marketplace analytics across advertiser, publisher, and platform outcomes
- Design aggregated tables and materialized views to support closed-loop analysis of auction results and bidding behavior
- Own integrations from DSPs, programmatic exchanges, and direct campaigns and standardize schemas for unified reporting
- Partner with data scientists, analysts, and product teams to deliver clean, discoverable, and trusted datasets
- Enable yield and gross profit analysis through dimensional models, win-rate metrics, demand health indicators, and experiment measurement tables
- Build data foundations for A/B testing analysis, auction simulation, offline replay, and post-campaign reporting
- Implement data quality checks, monitoring, and observability while supporting privacy and governance requirements
Data Engineer (Ads Auction Platform) employer: Roku
At Roku, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As a Data Engineer on our Ads Auction Platform team, you will have the opportunity to work with cutting-edge technologies in a dynamic environment, while also benefiting from professional growth opportunities and a commitment to data quality and governance. Our location offers a vibrant atmosphere that encourages creativity and teamwork, making it an ideal place for those seeking meaningful and impactful work.
We think you need these skills to ace Data Engineer (Ads Auction Platform)
SQL
Python
Airflow
Data Pipeline Design
Batch Data Architecture
Streaming Data Architecture
Cloud Data Platforms
