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 £ 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 in Cambridge employer: Roku
Roku is an exceptional employer that fosters a collaborative and innovative work culture in the vibrant city of Cambridge. With a strong emphasis on employee growth, we offer numerous opportunities for professional development and skill enhancement, particularly in cutting-edge technologies like real-time analytics. Join us to be part of a dynamic team that values creativity and impact, while enjoying the benefits of a supportive environment that champions work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Ads Auction Platform Data Engineer - Real-Time Analytics in Cambridge
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Ads Auction Platform Data Engineer - Real-Time Analytics in Cambridge
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
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.
