Ads Auction Platform Data Engineer - Real-Time Analytics

Ads Auction Platform Data Engineer - Real-Time Analytics

Full-Time 50000 - 70000 Β£ / year (est.) No working from home possible
Roku

At a Glance

  • Tasks: Design and operate data pipelines for Roku's CTV advertising auction platform.
  • Company: Join Roku, a leader in streaming technology, based in vibrant Cambridge.
  • Benefits: Enjoy competitive pay, flexible work options, and opportunities for growth.
  • Other info: Collaborate with product and data science teams in a dynamic environment.
  • Why this job: Make a real impact on advertising analytics with cutting-edge technology.
  • Qualifications: Strong SQL and Python skills, plus experience with Airflow and cloud platforms.

The predicted salary is between 50000 - 70000 Β£ per year.

Roku is seeking a Data Engineer based in Cambridge to design and operate production data pipelines that power its CTV advertising auction platform. You will build high-quality datasets for advertiser performance and revenue analysis.

The ideal candidate has strong SQL and Python skills, hands-on experience with Airflow, and familiarity with cloud data platforms. The role requires effective partnership with product and data science teams to create reliable data products that drive business impact.

Ads Auction Platform Data Engineer - Real-Time Analytics employer: Roku

Roku is an exceptional employer that fosters a collaborative and innovative work culture in the vibrant city of Cambridge. Employees benefit from competitive compensation, comprehensive growth opportunities, and the chance to work on cutting-edge technology that shapes the future of advertising. With a focus on teamwork and impactful projects, Roku provides a rewarding environment for those looking to make a significant contribution in the tech industry.

Roku

Contact Details:

Roku Recruitment Team

We think you need these skills to ace Ads Auction Platform Data Engineer - Real-Time Analytics

SQL
Python
Communication Skills
Problem-Solving Skills
Data Pipeline Development
Data Quality Assurance
Attention to Detail