At a Glance
- Tasks: Design data models and build scalable pipelines to capture business metrics.
- Company: Join Roku, the #1 TV streaming platform transforming how the world watches TV.
- Benefits: Enjoy a hybrid work model, competitive salary, and comprehensive health benefits.
- Other info: Collaborative environment with excellent career growth and diverse benefits.
- Why this job: Make a real impact on user experience with cutting-edge big data technologies.
- Qualifications: Strong SQL skills and proficiency in Python required; big data tech experience preferred.
The predicted salary is between 59400 - 72600 £ per year.
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. 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 monetise large audiences, and provide advertisers unique capabilities to engage consumers.
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. 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.
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.
How will I use AI at Roku? At Roku, we don’t just use AI, we work with it. AI agents and smart tools help power drafts, analysis, and repetitive workflows, while our people bring direction, judgment, and accountability. We’re looking for curious, adaptable builders who can show how they’ve used AI or automation to move faster, raise the bar, and scale their impact. We value your AI skills if you have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. You know how to drive an agent, verify its output, and ramp on an unfamiliar codebase with an agent helping you.
This role is offered on a hybrid basis, based from our Cambridge Office, UK.
- 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.
What experience would help someone be successful in this role at Roku:
- 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).
Roku fosters an inclusive and collaborative environment where teams generally work in the office Monday through Thursday. Fridays are generally flexible for remote work, except for employees whose specific roles or assigned office location require five days' a week attendance.
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.
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 SQL Python in Cambridge employer: Roku
Roku is an excellent employer, offering a dynamic work environment in Cambridge that fosters collaboration and innovation. With a strong emphasis on work-life balance and comprehensive health benefits, employees are encouraged to grow their skills while contributing to the development of cutting-edge technology. The hybrid work model allows for flexibility, making it an attractive place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer SQL Python in Cambridge
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Roku!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Engineer SQL Python at Roku.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Roku.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer SQL Python at Roku, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Engineer SQL Python in Cambridge
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Roku, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Roku. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Roku
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Roku!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.