At a Glance
- Tasks: Design and build data products using Apache Spark and Airflow.
- Company: Join Roku, a leader in innovative audience management solutions.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Exciting projects and a chance to work with cross-functional teams.
- Why this job: Make an impact with cutting-edge big data technologies in a collaborative environment.
- Qualifications: 8+ years in software and data engineering, strong skills in Python, Java, or Scala.
The predicted salary is between 70000 - 90000 £ per year.
Roku, Inc. is seeking a Senior Software Engineer in Cambridge, UK, with expertise in big data technologies like Apache Spark and Airflow. This hybrid role involves designing, building, and maintaining data products and APIs, collaborating with cross-functional teams to deliver robust solutions.
The ideal candidate will have:
- 8+ years of experience in software and data engineering
- A bachelor's degree in a relevant field
- Strong programming skills in Python, Java, or Scala
Join Roku to contribute to innovative audience management solutions.
Senior Data Platform Engineer - Spark, Airflow, APIs in Cambridge employer: Roku, Inc.
Roku, Inc. is an exceptional employer that fosters a collaborative and innovative work culture in the vibrant city of Cambridge, UK. With a strong focus on employee growth, we offer numerous opportunities for professional development and skill enhancement, particularly in cutting-edge technologies like Apache Spark and Airflow. Join us to be part of a dynamic team that values creativity and empowers you to make a meaningful impact in the world of data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Platform Engineer - Spark, Airflow, APIs in Cambridge
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Spark, Airflow, or APIs. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to big data technologies. Practice coding challenges in Python, Java, or Scala to ensure you're ready to impress during technical assessments.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Platform Engineer - Spark, Airflow, APIs in Cambridge
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with big data technologies like Apache Spark and Airflow. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
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 makes you a perfect fit for our team at Roku. Keep it engaging and personal.
Showcase Your Technical Skills:Since we’re looking for someone with strong programming skills in Python, Java, or Scala, make sure to mention specific projects where you’ve used these languages. We love seeing real-world applications of your expertise!
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, Inc.
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Apache Spark, Airflow, and the programming languages mentioned in the job description. Be ready to discuss your past projects and how you've used these technologies to solve real-world problems.
✨Showcase Your Collaboration Skills
Since this role involves working with cross-functional teams, prepare examples that highlight your teamwork and communication skills. Think about times when you successfully collaborated with others to deliver a project or overcome a challenge.
✨Prepare for Technical Questions
Expect technical questions that test your understanding of data engineering concepts and best practices. Practice coding challenges in Python, Java, or Scala, and be ready to explain your thought process as you solve them.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions prepared about Roku's data products and future projects. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
