At a Glance
- Tasks: Transform massive data into actionable insights for an exciting TV platform.
- Company: Dynamic TV software provider based in London with a focus on innovation.
- Benefits: Competitive salary, annual bonus, and flexible work arrangements for better work-life balance.
- Why this job: Join an agile team and enhance user experience through impactful data solutions.
- Qualifications: Strong SQL and Python skills, plus familiarity with Big Data technologies like Spark.
- Other info: Great opportunities for professional development in a collaborative environment.
The predicted salary is between 36000 - 60000 £ per year.
A TV software provider in London is looking for a Data Engineer to convert vast data into insights. You will work within an agile team, engaging with product owners and data scientists to shape systems enhancing the user experience.
The role requires strong skills in SQL, Python, and familiarity with Big Data technologies like Spark.
Benefits include a competitive salary, annual bonus, and flexible work arrangements, enhancing work-life balance and professional development.
Big Data Engineer – ELT & Analytics for TV Platform employer: YouView TV Limited
Contact Detail:
YouView TV Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Big Data Engineer – ELT & Analytics for TV Platform
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with big data or at the company you're eyeing. A friendly chat can open doors and give you insider info that could set you apart.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL and Python projects, especially any that involve Big Data technologies like Spark. This gives potential employers a taste of what you can do and how you think.
✨Tip Number 3
Prepare for the interview by brushing up on common data engineering scenarios. Think about how you would tackle real-world problems and be ready to discuss your thought process. We want to see how you approach challenges!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Big Data Engineer – ELT & Analytics for TV Platform
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Python, and Big Data technologies like Spark. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
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 you can contribute to our agile team. We love seeing passion and personality, so let that come through!
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've turned data into insights. We’re looking for someone who can engage with product owners and data scientists, so demonstrate your collaborative spirit and analytical mindset.
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 a few clicks and you’re done!
How to prepare for a job interview at YouView TV Limited
✨Know Your Tech Inside Out
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these technologies in past projects, especially in relation to Big Data tools like Spark. This will show that you’re not just familiar with the tech but can also apply it effectively.
✨Understand the Agile Methodology
Since you'll be working in an agile team, it's crucial to understand agile principles. Be prepared to talk about your experience in agile environments and how you’ve collaborated with product owners and data scientists to deliver insights. This will demonstrate your ability to fit into their workflow.
✨Showcase Your Problem-Solving Skills
Think of specific examples where you've turned complex data into actionable insights. Prepare to discuss challenges you faced and how you overcame them. This will highlight your analytical thinking and ability to enhance user experience through data.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s data strategy and how they leverage analytics to improve their TV platform. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.