At a Glance
- Tasks: Build and maintain data pipelines for an exciting CTV advertising auction platform.
- Company: Join Roku, a leader in streaming technology with a vibrant culture.
- Benefits: Enjoy hybrid work flexibility, competitive salary, and opportunities for growth.
- Other info: Collaborate with diverse teams in a dynamic and innovative environment.
- Why this job: Make an impact on marketplace optimisation while working with cutting-edge data technologies.
- Qualifications: Strong SQL and Python skills, plus experience in scalable data workflows.
The predicted salary is between 50000 - 70000 £ per year.
Roku, Inc. is seeking a data engineer to build and maintain data pipelines for its CTV advertising auction platform. This role demands strong SQL and Python skills, with experience in creating scalable data workflows.
As part of this position, you will collaborate with various teams to ensure high-quality datasets and contribute to effective marketplace optimization.
Note that this role allows for a hybrid work approach, combining office and remote work flexibility.
Data Engineer, Ad Auction Platform — Scale & Insights in Cambridge employer: Roku, Inc.
Roku, Inc. is an exceptional employer that fosters a dynamic work culture where innovation and collaboration thrive. With a strong emphasis on employee growth, you will have access to continuous learning opportunities and the flexibility of a hybrid work model, allowing you to balance your professional and personal life effectively. Join us in shaping the future of CTV advertising while enjoying the benefits of a supportive team environment and cutting-edge technology.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer, Ad Auction Platform — Scale & Insights in Cambridge
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Roku or similar companies. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL and Python projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really impress hiring managers.
✨Tip Number 3
Prepare for the technical interview! Brush up on data pipeline concepts and be ready to discuss how you've tackled challenges in past projects. We all know that confidence and knowledge go hand in hand!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Data Engineer, Ad Auction Platform — Scale & Insights in Cambridge
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your SQL and Python skills in your application. We want to see how you've used these tools in past projects, so don’t hold back on the details!
Tailor Your Application:Take a moment to customise your application for the Data Engineer role. Mention specific experiences that relate to building data pipelines and working with scalable workflows. It helps us see why you’re a great fit!
Collaborate and Communicate:Since this role involves working with various teams, share examples of how you've successfully collaborated in the past. We love seeing teamwork in action, so let us know how you’ve contributed to high-quality datasets.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Roku, Inc.
✨Master Your SQL and Python Skills
Make sure you brush up on your SQL and Python skills before the interview. Be prepared to discuss specific projects where you've used these languages to build data pipelines or workflows. Practising coding challenges related to data manipulation can also give you a leg up.
✨Showcase Your Collaboration Experience
Since this role involves working with various teams, be ready to share examples of how you've successfully collaborated in the past. Highlight any cross-functional projects where you contributed to high-quality datasets or optimised processes, as this will demonstrate your ability to work well with others.
✨Understand the Ad Auction Landscape
Familiarise yourself with the CTV advertising auction platform and its key metrics. Being able to discuss industry trends and how data plays a role in marketplace optimisation will show that you're not just technically skilled but also knowledgeable about the business context.
✨Prepare for Hybrid Work Questions
Since the role offers a hybrid work approach, think about how you manage your time and productivity in both office and remote settings. Be ready to discuss your strategies for staying connected with team members and ensuring effective communication, as this is crucial for success in a flexible work environment.
