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 flexible hybrid work, competitive salary, and opportunities for growth.
- Other info: Collaborate with diverse teams in a dynamic and innovative environment.
- Why this job: Make an impact in the fast-paced world of advertising technology.
- Qualifications: Strong SQL and Python skills, plus experience in data pipeline production.
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 involves designing ETL workflows in Airflow and ensuring data quality across batch and streaming processes.
The ideal candidate will have strong SQL and Python skills, experience in data pipeline production, and the ability to collaborate effectively with cross-functional teams. Flexible work opportunities are available, promoting a hybrid work environment.
Data Engineer — Ads Auction Platform (Hybrid) in Manchester employer: Roku, Inc.
Roku, Inc. is an exceptional employer that fosters a dynamic and innovative work culture, particularly for the Data Engineer role within our Ads Auction Platform team. With flexible hybrid work opportunities, we prioritise employee well-being and collaboration, while offering robust growth prospects through continuous learning and development in the fast-evolving field of data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer — Ads Auction Platform (Hybrid) in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working 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 data pipelines, ETL workflows, and any projects you've done with SQL and Python. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for the technical interview! Brush up on your SQL queries and Python coding skills. Practising common data engineering problems will help you feel confident and ready to tackle any challenge they throw your way.
✨Tip Number 4
Apply through our website! We make it easy for you to find the right role. Plus, it shows you're genuinely interested in joining our team. Don't miss out on the chance to be part of something great!
We think you need these skills to ace Data Engineer — Ads Auction Platform (Hybrid) in Manchester
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 real-world scenarios, especially in building data pipelines.
Tailor Your Experience:When writing your application, tailor it to the role. Mention any experience you have with ETL workflows and data quality assurance, as these are key for us at Roku.
Collaboration is Key:Don’t forget to mention your teamwork skills! We value collaboration, so share examples of how you’ve worked with cross-functional teams in the past.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and get to know you better!
How to prepare for a job interview at Roku, Inc.
✨Know Your SQL and Python Inside Out
Make sure you brush up on your SQL and Python skills before the interview. Be prepared to discuss your experience with these languages, especially in the context of building data pipelines. You might even be asked to solve a coding challenge, so practice writing clean and efficient code.
✨Familiarise Yourself with ETL Workflows
Since the role involves designing ETL workflows in Airflow, it’s crucial to understand how ETL processes work. Review common patterns and best practices, and be ready to explain how you've implemented these in past projects. This will show that you’re not just familiar with the tools but also know how to apply them effectively.
✨Highlight Your Collaboration Skills
This position requires working with cross-functional teams, so be prepared to share examples of how you've successfully collaborated in the past. Think about specific projects where teamwork was key to success, and be ready to discuss your role in those situations.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team dynamics, the challenges they face with the current data pipelines, or how they measure data quality. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
