At a Glance
- Tasks: Build and maintain data pipelines for a cutting-edge ad auction platform.
- Company: Join Roku, a leader in CTV advertising with a vibrant team culture.
- Benefits: Enjoy mental health support, healthcare options, and flexible hybrid work.
- Other info: Dynamic work environment with opportunities for growth and innovation.
- Why this job: Make an impact in real-time advertising while developing your tech skills.
- 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 an engineer to build and maintain data pipelines for its CTV advertising auction platform in Liverpool. Responsibilities include creating ETL/ELT workflows and modeling data for optimization.
The ideal candidate will have strong SQL and Python skills, experience with Airflow, and a familiarity with cloud data platforms.
Roku offers a hybrid work environment, enabling flexibility in working arrangements. Comprehensive benefits include mental health support, healthcare options, and retirement plans.
Data Engineer for Real-Time Ad Auctions Platform in Liverpool employer: Roku
Roku is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Liverpool. With a strong emphasis on employee growth, comprehensive benefits including mental health support and flexible hybrid working arrangements, Roku empowers its team to thrive both personally and professionally while contributing to cutting-edge technology in the advertising space.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer for Real-Time Ad Auctions Platform in Liverpool
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Roku!
✨Show Off Your Projects
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Roku.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer for Real-Time Ad Auctions Platform at Roku, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Engineer for Real-Time Ad Auctions Platform in Liverpool
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.
