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- Tasks: Design and develop APIs and Big Data pipelines for innovative projects.
- Company: Join Roku, a leading tech company in Manchester with a collaborative culture.
- Benefits: Enjoy a hybrid work environment and a comprehensive benefits package.
- Other info: Great opportunity for career growth in a supportive environment.
- Why this job: Make an impact by delivering robust data solutions in a dynamic team.
- Qualifications: 10+ years in software development with expertise in API and Big Data.
The predicted salary is between 60000 - 80000 £ per year.
Roku, Inc. is seeking a Senior Software Engineer based in Manchester, UK, to design and develop APIs and Big Data pipelines. The role demands deep expertise in API development via Spring Boot and knowledge of Apache Spark. You will work closely with cross-functional teams to deliver robust data solutions. The ideal candidate has over 10 years of professional experience in software development, focused on building scalable systems. Start enjoying a hybrid work environment with a comprehensive benefits package supporting your well-being.
Senior Data Engineer - Ads Analytics & APIs in Manchester employer: Roku, Inc.
Contact Detail:
Roku, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Ads Analytics & APIs in Manchester
✨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 showcasing your API development projects and Big Data pipelines. This is your chance to demonstrate your expertise in Spring Boot and Apache Spark, so make it shine!
✨Tip Number 3
Prepare for those interviews! Research Roku and understand their products and culture. Tailor your answers to highlight how your experience aligns with their needs, especially in building scalable systems.
✨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 to connect with us directly.
We think you need these skills to ace Senior Data Engineer - Ads Analytics & APIs in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with API development and Big Data pipelines. We want to see how your skills align with the role, so don’t be shy about showcasing your expertise in Spring Boot and Apache Spark!
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. Let us know what excites you about working at Roku!
Showcase Your Projects: If you've worked on relevant projects, make sure to mention them! We love seeing real-world applications of your skills, especially if they involve scalable systems or cross-functional teamwork. It gives us a glimpse into your problem-solving abilities.
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 – just follow the prompts and let us see what you’ve got!
How to prepare for a job interview at Roku, Inc.
✨Know Your APIs Inside Out
Make sure you brush up on your API development skills, especially with Spring Boot. Be ready to discuss your past projects and how you've designed and implemented APIs. This will show that you have the hands-on experience they’re looking for.
✨Showcase Your Big Data Knowledge
Since the role involves working with Big Data pipelines, be prepared to talk about your experience with Apache Spark. Bring examples of how you've used it in previous roles to solve complex data problems. This will demonstrate your technical expertise.
✨Collaboration is Key
Roku values teamwork, so think of examples where you've successfully collaborated with cross-functional teams. Highlight how you communicated effectively and contributed to delivering robust data solutions. This will show you can thrive in their hybrid work environment.
✨Prepare Questions That Matter
Have a few thoughtful questions ready about the company’s approach to data analytics and their tech stack. This not only shows your interest but also helps you gauge if the company culture aligns with your values and work style.