At a Glance
- Tasks: Design backend services and develop big data pipelines using cutting-edge technologies.
- Company: Join Roku, a leader in streaming technology with a collaborative culture.
- Benefits: Comprehensive benefits, mentorship opportunities, and a hybrid work environment.
- Other info: Dynamic role with opportunities for collaboration across various teams.
- Why this job: Make an impact in the tech world while working with innovative big data solutions.
- Qualifications: 8+ years of experience in software engineering and expertise in big data technologies.
The predicted salary is between 60000 - 84000 € per year.
Roku is seeking a highly skilled Senior Software Engineer in Salford, United Kingdom. In this hybrid role, you will design backend services and develop big data pipelines using technologies like Spring Boot, Apache Spark, and Apache Airflow.
The ideal candidate has 8+ years of experience, strong programming skills, and expertise in big data technologies. The position offers comprehensive benefits and opportunities for mentorship and collaboration with various teams.
Senior Ads Analytics Engineer - API, Spark & Airflow employer: Roku
Roku is an exceptional employer that fosters a collaborative and innovative work culture in Salford, UK. With comprehensive benefits and ample opportunities for mentorship, employees are encouraged to grow their skills and advance their careers while working on cutting-edge technologies in big data. The hybrid work model further enhances work-life balance, making it a rewarding place for talented individuals seeking meaningful employment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Ads Analytics Engineer - API, Spark & Airflow
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local 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 or GitHub repository showcasing your projects, especially those involving big data technologies like Spark and Airflow. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to backend services and big data pipelines. Practise coding challenges and be ready to discuss your past experiences in detail.
✨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 take that extra step!
We think you need these skills to ace Senior Ads Analytics Engineer - API, Spark & Airflow
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with backend services and big data technologies like Spark and Airflow. We want to see how your skills align with what we're looking for, 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 the perfect fit for the Senior Ads Analytics Engineer role. Share your passion for big data and how you can contribute to our team at Roku.
Showcase Your Technical Skills:In your application, be sure to mention specific programming languages and tools you’re proficient in. We love seeing candidates who can demonstrate their expertise in technologies like Spring Boot and Apache Spark.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Roku
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Spring Boot, Apache Spark, and Apache Airflow. Brush up on your knowledge of these tools and be ready to discuss how you've used them in past projects.
✨Showcase Your Experience
With 8+ years of experience required, prepare to highlight specific projects where you’ve designed backend services or developed big data pipelines. Use the STAR method (Situation, Task, Action, Result) to structure your responses and make your achievements stand out.
✨Prepare for Technical Questions
Expect technical questions that test your programming skills and understanding of big data technologies. Practice coding challenges and be ready to explain your thought process clearly. This will show your problem-solving abilities and technical expertise.
✨Emphasise Collaboration
Since the role involves working with various teams, be prepared to discuss your experience in collaborative environments. Share examples of how you’ve worked with cross-functional teams and contributed to mentorship, as this aligns with the company’s values.
