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- Tasks: Build and optimise data pipelines for a leading streaming service.
- Company: Join a top streaming service provider with a focus on innovation.
- Benefits: Enjoy hybrid work, competitive salary, and opportunities for growth.
- Why this job: Make an impact in the data ecosystem of a major streaming platform.
- Qualifications: Strong skills in Python, SQL, and experience with cloud platforms.
- Other info: Flexible work environment at the Sky campus in Osterley.
The predicted salary is between 36000 - 60000 £ per year.
A leading streaming service provider is seeking a Data Engineer to manage and optimize their data ecosystem. The role involves building and maintaining data pipelines, ensuring data quality, and collaborating with cross-functional teams.
Ideal candidates will have strong skills in Python and SQL, along with experience in cloud platforms like Google Cloud. Located at the Sky campus in Osterley, the position supports a hybrid work model, fostering flexibility and collaboration.
Data Engineer — Real-Time Pipelines (12‑mo FTC, Hybrid) employer: SkyShowtime
Contact Detail:
SkyShowtime Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer — Real-Time Pipelines (12‑mo FTC, Hybrid)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! If you've got a portfolio or GitHub with projects showcasing your Python and SQL prowess, make sure to highlight that in conversations. Real examples speak louder than words.
✨Tip Number 3
Prepare for the technical interview! Brush up on your data pipeline knowledge and be ready to discuss how you've tackled data quality issues in the past. Practice makes perfect, so run through some mock interviews.
✨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, it shows you're genuinely interested in joining the team.
We think you need these skills to ace Data Engineer — Real-Time Pipelines (12‑mo FTC, Hybrid)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and cloud platforms like Google Cloud. We want to see how your skills align with the role of a Data Engineer, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your background makes you a perfect fit for managing and optimising data pipelines. Let us know what makes you tick!
Showcase Your Collaboration Skills: Since this role involves working with cross-functional teams, highlight any past experiences where you’ve successfully collaborated with others. We love seeing teamwork in action, so share those stories!
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. Plus, it’s super easy!
How to prepare for a job interview at SkyShowtime
✨Know Your Data Pipelines
Make sure you understand the ins and outs of data pipelines. Be ready to discuss your previous experiences with building and maintaining them, especially in real-time scenarios. Brush up on any specific tools or frameworks you've used, as this will show your practical knowledge.
✨Show Off Your Python and SQL Skills
Prepare to demonstrate your proficiency in Python and SQL during the interview. You might be asked to solve a problem on the spot, so practice coding challenges beforehand. Highlight any projects where you've used these languages to optimise data processes.
✨Familiarise Yourself with Cloud Platforms
Since the role involves cloud platforms like Google Cloud, make sure you're comfortable discussing your experience with them. If you’ve worked on any cloud-based projects, be ready to share how you managed data quality and scalability in those environments.
✨Collaboration is Key
This position requires working with cross-functional teams, so be prepared to talk about your teamwork experiences. Share examples of how you've collaborated with others to achieve a common goal, and emphasise your communication skills to show you can thrive in a hybrid work model.