At a Glance
- Tasks: Design and build scalable data pipelines for innovative viewer products.
- Company: Join Roku, a leader in streaming technology with an inclusive culture.
- Benefits: Enjoy hybrid work, health benefits, and a supportive team environment.
- Other info: Great opportunity for career growth in a dynamic tech environment.
- Why this job: Make a real impact on data solutions that enhance user experiences.
- Qualifications: Strong SQL and Python skills, plus experience with big data technologies.
The predicted salary is between 60000 - 80000 € per year.
Roku is seeking a Senior Data Engineer in Salford to design and build scalable data pipelines for its Viewer Product Device & Themed Experiences team. You will work on developing robust data solutions and processing systems, ensuring high data quality, and influencing product roadmaps.
Candidates need strong SQL and Python skills and experience with big data technologies. The position offers a hybrid work environment and various health benefits, with an inclusive team culture.
Senior Data Engineer - Python & Spark | Scalable Pipelines employer: Roku
Roku is an excellent employer, offering a dynamic work environment in Salford where innovation thrives. With a strong focus on employee growth and a commitment to inclusivity, team members enjoy the flexibility of a hybrid work model alongside comprehensive health benefits. Join us to be part of a collaborative culture that values your contributions and empowers you to shape the future of data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer - Python & Spark | Scalable Pipelines
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Roku on LinkedIn. A friendly chat can give you insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your Python and SQL projects. This will help you stand out and demonstrate your expertise in building scalable data pipelines.
✨Tip Number 3
Ace the interview! Research common data engineering interview questions and practice your answers. Be ready to discuss your experience with big data technologies and how you've ensured high data quality in past projects.
✨Tip Number 4
Apply through our website! We encourage you to submit your application directly on our site for the best chance of getting noticed. Plus, it’s super easy and straightforward!
We think you need these skills to ace Senior Data Engineer - Python & Spark | Scalable Pipelines
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 technologies in past projects, especially if you've worked with big data before!
Tailor Your Application:Don’t just send a generic CV! Tailor your application to the Senior Data Engineer role by mentioning specific experiences that relate to designing scalable data pipelines and ensuring data quality.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate straightforward communication, so make sure your experience and skills shine through without unnecessary fluff.
Apply Through Our Website:We encourage you to apply directly 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!
How to prepare for a job interview at Roku
✨Know Your Tech Inside Out
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss your experience with big data technologies, as well as any specific projects you've worked on that involved designing scalable data pipelines.
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced in previous roles and how you overcame them. Think of examples where you ensured high data quality or influenced product roadmaps, as these will resonate well with the team at Roku.
✨Understand the Company Culture
Roku values an inclusive team culture, so do a bit of research on their values and mission. Be ready to share how you can contribute to this culture and work effectively in a hybrid environment.
✨Ask Insightful Questions
Prepare some thoughtful questions about the role and the team. This shows your genuine interest in the position and helps you understand how you can fit into their Viewer Product Device & Themed Experiences team.
