At a Glance
- Tasks: Design data models and build scalable pipelines for Roku devices and apps.
- Company: Join Roku, a leading tech company in Manchester with a focus on innovation.
- Benefits: Enjoy hybrid work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team atmosphere with excellent career advancement opportunities.
- Why this job: Make a real impact on data quality and metrics in a collaborative environment.
- Qualifications: Strong SQL and Python skills, plus experience with big data technologies.
The predicted salary is between 60750 - 74250 Β£ per year.
Roku in Manchester is looking for a Senior Data Engineer to join the Viewer Product Device & Themed Experiences team.
You will design data models and build scalable pipelines across Roku devices, apps, and web/mobile clients.
This role emphasizes data quality, metrics, and scale.
We value strong SQL and Python, experience with big data technologies, and a solid data modelling background.
The role offers hybrid work from our Manchester office with a focus on impact and collaboration.
#J-18808-Ljbffr
Senior Data Engineer β Python & Spark (Hybrid UK) in Manchester employer: Roku, Inc.
Roku is an exceptional employer that fosters a collaborative and innovative work culture, where every team member contributes to shaping the future of TV streaming. With a commitment to employee growth, comprehensive benefits, and a flexible hybrid working model, Roku empowers its engineers to take ownership of impactful projects while enjoying a supportive environment that values creativity and teamwork. Join us in making a difference for millions of users worldwide, all while being part of a company that prioritises both professional development and personal well-being.
StudySmarter Expert Adviceπ€«
We think this is how you could land Senior Data Engineer β Python & Spark (Hybrid UK) in Manchester
β¨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, Inc.!
β¨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 β Python & Spark (Hybrid UK) at Roku, Inc..
β¨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, Inc..
β¨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer β Python & Spark (Hybrid UK) at Roku, Inc., make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesnβt love a direct application? Itβs easier than navigating through job boards!
We think you need these skills to ace Senior Data Engineer β Python & Spark (Hybrid UK) in Manchester
Some tips for your application π«‘
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. Donβt 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, Inc., 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 youβre 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, Inc.. 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, Inc.
β¨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!
β¨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, itβll really make us stand out!
β¨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, Inc.!
β¨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how weβd 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.