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- Tasks: Build and maintain data pipelines using PySpark for analytics and machine learning.
- Company: Join ITV Consumer Limited, a leading company in the media industry.
- Benefits: Enjoy flexible working, generous holidays, and a competitive pension.
- Other info: Collaborative team environment with opportunities for growth and development.
- Why this job: Make an impact by supporting innovative analytics and machine learning projects.
- Qualifications: Strong programming skills in Python and SQL; experience in cloud environments.
The predicted salary is between 40000 - 50000 £ per year.
ITV Consumer Limited 2024 is looking for a Data Engineer in Manchester to build and maintain data pipelines that support analytics and machine learning.
Key responsibilities include:
- Designing data pipelines using PySpark
- Collaborating with teams to meet business needs
- Ensuring data quality
Candidates should have:
- Strong programming skills in Python and SQL
- Experience in cloud environments (GCP, AWS)
Benefits include:
- Flexible working
- Generous holidays
- Competitive pension
Data Engineer: Build Scalable Pipelines with PySpark in Manchester employer: ITV Consumer Limited 2024
Contact Detail:
ITV Consumer Limited 2024 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer: Build Scalable Pipelines with PySpark in Manchester
✨Tip Number 1
Network like a pro! Reach out to current Data Engineers or professionals in the field on LinkedIn. Ask them about their experiences at ITV Consumer Limited and any tips they might have for landing the job.
✨Tip Number 2
Show off your skills! Prepare a mini-project or a portfolio showcasing your data pipeline designs using PySpark. This will give you something tangible to discuss during interviews and demonstrate your expertise.
✨Tip Number 3
Practice makes perfect! Brush up on your Python and SQL skills by working on real-world problems. Use platforms like StudySmarter to find resources and exercises that can help you get ready for technical interviews.
✨Tip Number 4
Apply through our website! We make it easy for you to submit your application directly, and it shows you're serious about joining the team. Plus, keep an eye on our careers page for any updates or new opportunities!
We think you need these skills to ace Data Engineer: Build Scalable Pipelines with PySpark in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with PySpark, 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 excited about the Data Engineer position and how you can contribute to building scalable pipelines. Let us know what makes you tick!
Showcase Your Cloud Experience: Since we’re working in cloud environments like GCP and AWS, make sure to mention any relevant experience you have. Whether it’s a project or a specific tool, we want to know how you’ve used these platforms.
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 from our team!
How to prepare for a job interview at ITV Consumer Limited 2024
✨Know Your PySpark Inside Out
Make sure you brush up on your PySpark skills before the interview. Be ready to discuss how you've designed and built data pipelines in the past, and be prepared to tackle any technical questions they might throw your way.
✨Show Off Your Collaboration Skills
Since the role involves working with various teams, think of examples where you've successfully collaborated on projects. Highlight how you communicated with others to meet business needs and ensure data quality.
✨Demonstrate Your Cloud Knowledge
Familiarise yourself with cloud environments like GCP and AWS. Be ready to explain how you've used these platforms in your previous roles, and maybe even share a project where you leveraged cloud services to enhance data processing.
✨Prepare Questions That Matter
Interviews are a two-way street! Prepare thoughtful questions about the company's data strategy, team dynamics, and how they measure success in this role. This shows you're genuinely interested and helps you assess if it's the right fit for you.