At a Glance
- Tasks: Join our team to build a world-class big data platform and drive business growth.
- Company: Roku, a leader in streaming technology with a collaborative culture.
- Benefits: Comprehensive benefits including mental health support, healthcare, and flexible remote work options.
- Other info: Inclusive environment with opportunities for personal and professional growth.
- Why this job: Make a real impact by leveraging data to support innovative initiatives.
- Qualifications: Experience in data engineering, Python, and Spark is essential.
The predicted salary is between 60000 - 80000 € per year.
About the Team
The mission of Roku’s Data Engineering team is to develop a world‑class big data platform that empowers both internal and external partners to leverage data and drive business growth. The team works closely with business stakeholders and engineering colleagues to collect, transform and surface metrics that are critical to the success of new and existing initiatives.
About the Role
As a Senior Data Engineer in the Viewer Product Device MS preferred).
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or who are in offices with a five‑day in‑office policy.
Benefits
Roku offers a comprehensive benefits package that includes global access to mental health and financial wellness support and resources. Local benefits may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off in accordance with local leave policies and other personal needs.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
Senior Data Engineer, Python, Spark employer: Roku
Roku is an exceptional employer that champions a collaborative and inclusive work culture, particularly within its Data Engineering team. With a hybrid work approach, employees enjoy the flexibility of remote work on Fridays while benefiting from a comprehensive package that includes mental health support, healthcare options, and generous leave policies. The company prioritises employee growth and well-being, making it an ideal place for those seeking meaningful and rewarding careers in data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer, Python, Spark
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Roku on LinkedIn. A friendly chat can give us insider info about the team and the role, plus it shows our genuine interest.
✨Tip Number 2
Prepare for the interview by brushing up on Python and Spark. We should be ready to showcase our skills with real-world examples. Practice coding challenges and be ready to discuss how we’ve tackled data engineering problems in the past.
✨Tip Number 3
Showcase our passion for data! During interviews, let’s share our thoughts on the latest trends in big data and how they can impact business growth. This will help us stand out as someone who’s not just qualified but also genuinely excited about the field.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets seen. Plus, we can tailor our application to highlight how our experience aligns with Roku’s mission and values.
We think you need these skills to ace Senior Data Engineer, Python, Spark
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with Python and Spark, and showcase any relevant projects that demonstrate your skills in big data platforms.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your background aligns with Roku's mission. Be sure to mention any collaborative projects you've worked on.
Showcase Your Problem-Solving Skills:In your application, don’t forget to include examples of how you've tackled complex data challenges in the past. We love seeing how you approach problems and come up with innovative solutions!
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 Stack
Make sure you’re well-versed in Python and Spark, as these are crucial for the role. Brush up on your coding skills and be ready to discuss specific projects where you've used these technologies.
✨Understand the Business Impact
Roku’s Data Engineering team focuses on driving business growth through data. Be prepared to explain how your work has previously contributed to business outcomes and how you can do the same for them.
✨Showcase Collaboration Skills
Since the role involves working closely with stakeholders and engineering teams, highlight your experience in collaborative projects. Share examples of how you’ve successfully worked with others to achieve common goals.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current initiatives and challenges. This shows your genuine interest in the role and helps you understand how you can contribute effectively.
