At a Glance
- Tasks: Build scalable data systems and streamline complex datasets for a leading streaming platform.
- Company: Join Roku, the #1 TV streaming platform transforming how the world watches TV.
- Benefits: Enjoy competitive pay, mental health support, flexible remote work, and comprehensive benefits.
- Other info: Collaborative culture with excellent career growth opportunities and a focus on innovation.
- Why this job: Make a real impact on millions of viewers while developing your skills in a dynamic environment.
- Qualifications: Strong SQL and Python skills, experience with big data technologies, and a degree in Computer Science.
The predicted salary is between 60000 - 80000 € per year.
Teamwork makes the stream work. Roku is changing how the world watches TV. Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
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. As a Senior Data Engineer in the Viewer Product Device & Themed Experiences team, you’ll play a pivotal role in designing data models and building scalable pipelines to capture business metrics across Roku devices, Roku Powered TVs, web, and mobile clients. This work is essential to helping Roku understand which features resonate most with users and how we can continue to improve their experience.
About the Role: Roku pioneered TV streaming. We connect users to the content they love, enable publishers to build and monetise large audiences, and give advertisers unique opportunities to engage consumers. Roku streaming players and Roku TV™ models are available worldwide through direct retail and licensing partnerships with TV brands and pay-TV operators. With tens of millions of devices sold across multiple countries, thousands of streaming channels, and billions of hours watched, a scalable, reliable and fault-tolerant big data platform is critical to our continued success. This role is offered on a hybrid basis, based from our Cambridge Office, UK.
What You’ll Be Doing:
- Building highly scalable, fault-tolerant distributed data processing systems (batch and streaming) that handle tens of terabytes of data each day, supporting a petabyte-scale data warehouse.
- Designing and developing robust data solutions, streamlining complex datasets into simplified, self-service models.
- Developing pipelines that ensure high data quality and resilience to imperfect source data.
- Defining and maintaining data mappings, business logic, transformations and data quality standards.
- Debugging low-level systems, measuring performance and optimising large production clusters.
- Taking part in architecture discussions, influencing the product roadmap, and owning new initiatives from concept to delivery.
- Maintaining and evolving existing platforms, introducing modern technologies and architectures where appropriate.
We’re Excited If You Have:
- Strong SQL skills.
- Proficiency in at least one scripting language — Python is required.
- Proficiency in at least one object-oriented language.
- Experience with big data technologies such as HDFS, YARN, MapReduce, Hive, Kafka, Spark, Airflow, or Presto.
- Experience with AWS, GCP, or Looker (advantageous but not essential).
- Solid background in data modelling, including the design, implementation and optimisation of conceptual, logical, and physical models for scalable architectures.
- A degree in Computer Science (BS required; 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 employees who are in offices with a five day in office policy.
Benefits: Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which 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 to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
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.
The Roku Culture: Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
Senior Data Engineer, Python, Spark in Manchester employer: Roku
Roku is an exceptional employer that fosters a collaborative and inclusive work culture, where every team member contributes to the company's mission of transforming the TV streaming experience. Located in Cambridge, UK, employees benefit from a hybrid work model, comprehensive health and wellness support, and ample opportunities for professional growth in a fast-paced environment. Join us to be part of a dynamic team that values innovation, teamwork, and a sense of humour while making a meaningful impact on millions of viewers worldwide.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer, Python, Spark in Manchester
✨Tip Number 1
Network like a pro! Reach out to current or former Roku employees on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your SQL and Python skills. Be ready to discuss how you've tackled big data challenges in the past. Show us your problem-solving prowess!
✨Tip Number 3
Don’t just focus on technical skills; showcase your teamwork abilities too. At Roku, collaboration is key, so share examples of how you've worked with others to achieve great results.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in being part of the Roku family.
We think you need these skills to ace Senior Data Engineer, Python, Spark in Manchester
Some tips for your application 🫡
Show Your Data Skills:Make sure to highlight your SQL and Python skills in your application. We want to see how you can leverage these tools to build scalable data solutions, so don’t hold back on showcasing your experience!
Tailor Your Application:Take a moment to customise your application for the Senior Data Engineer role. Mention specific projects or experiences that align with our mission at Roku, especially those involving big data technologies like Spark or Kafka.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid jargon and focus on what makes you a great fit for our team.
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 brush up on your SQL, Python, and any big data technologies mentioned in the job description. Be ready to discuss how you've used these tools in past projects, especially with Spark and data pipelines.
✨Showcase Your Problem-Solving Skills
Roku values independent thinkers who can tackle challenges head-on. Prepare examples of how you've solved complex data issues or optimised systems in previous roles. This will demonstrate your ability to contribute from day one.
✨Understand the Company Culture
Familiarise yourself with Roku's mission and values. They appreciate a sense of humour and collaboration, so think about how you can convey your personality while aligning with their culture during the interview.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions. Practice explaining your thought process when designing data models or debugging systems. Being able to articulate your approach clearly will impress the interviewers.