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 environment with a focus on innovation and career advancement.
- Why this job: Make a measurable impact in the fast-paced world of ad tech.
- Qualifications: Strong SQL, Python skills, and experience with data pipelines and Airflow.
The predicted salary is between 60000 - 80000 £ per year.
Requirements
- This role is ideal for an engineer who enjoys high-scale data systems, strong data quality practices, and measurable business impact.
- 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.
- 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) in Manchester 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 technology in a dynamic environment that values employee growth and development. With a focus on high-scale data systems and measurable business impact, we offer competitive benefits and a commitment to maintaining a healthy work-life balance, making Roku an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (Ads Auction Platform) in Manchester
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We think you need these skills to ace Data Engineer (Ads Auction Platform) in Manchester
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Roku, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Roku. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Roku
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Roku!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
