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- Tasks: Design and maintain data pipelines for analytics and machine learning.
- Company: Join ITV, a leader in shaping the future of entertainment.
- Benefits: Competitive salary, flexible working options, and opportunities for growth.
- Other info: Collaborative environment with a focus on data quality and efficiency.
- Why this job: Make an impact on entertainment through innovative data solutions.
- Qualifications: Experience in data engineering, proficient in Python and SQL.
The predicted salary is between 45000 - 55000 £ per year.
ITV seeks a Data Engineer to design and maintain data pipelines that support analytics and machine learning initiatives. You will collaborate with engineers and product teams, ensuring data quality and writing efficient code.
Ideal candidates bring hands-on experience in data engineering, are proficient in Python and SQL, and are familiar with cloud platforms like GCP or AWS.
Join ITV to be a part of shaping the future of entertainment through data solutions.
Data Engineer: Build Scalable Pipelines & Analytics employer: ITV
Contact Detail:
ITV Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer: Build Scalable Pipelines & Analytics
✨Tip Number 1
Network like a pro! Reach out to current Data Engineers or professionals in the industry on LinkedIn. Ask them about their experiences at ITV and any tips they might have for landing a role there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines, analytics projects, or any relevant work. This is your chance to demonstrate your hands-on experience with Python, SQL, and cloud platforms like GCP or AWS.
✨Tip Number 3
Prepare for the interview by brushing up on common data engineering questions. We recommend practising coding challenges and discussing your past projects, especially those that highlight your ability to ensure data quality and write efficient code.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to get noticed. Tailor your application to highlight how your skills align with ITV's mission of shaping the future of entertainment through data solutions.
We think you need these skills to ace Data Engineer: Build Scalable Pipelines & Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, especially with Python and SQL. 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 passionate about data engineering and how you can contribute to our team at ITV. Keep it concise but engaging – we love a good story!
Showcase Your Technical Skills: Since we’re looking for someone who’s proficient in cloud platforms like GCP or AWS, make sure to mention any hands-on experience you have with these tools. We want to know how you’ve used them to build scalable pipelines or support analytics.
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 follow the prompts!
How to prepare for a job interview at ITV
✨Know Your Data Engineering Basics
Make sure you brush up on your data engineering fundamentals. Be ready to discuss how you design and maintain data pipelines, as well as your experience with analytics and machine learning. Having specific examples from your past work will really help you stand out.
✨Show Off Your Coding Skills
Since proficiency in Python and SQL is key for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem or write a snippet of code during the interview, so practice common data manipulation tasks beforehand.
✨Familiarise Yourself with Cloud Platforms
ITV is looking for someone familiar with cloud platforms like GCP or AWS. Make sure you understand the basics of these services and can discuss how you've used them in previous projects. This will show that you're not just a theoretical expert but have practical experience too.
✨Collaborate and Communicate
As you'll be working closely with engineers and product teams, highlight your collaboration skills. Prepare examples of how you've successfully worked in teams, resolved conflicts, or communicated complex data concepts to non-technical stakeholders. This will demonstrate that you're a team player who can fit into their culture.