At a Glance
- Tasks: Lead data engineering projects using Python and serverless AWS technologies.
- Company: Network IT, a forward-thinking company in Normanton, England.
- Benefits: Competitive salary of £125K - £146K for full-time roles.
- Other info: Opportunity to work at a senior level with great career advancement.
- Why this job: Join a dynamic team and enhance your skills in cutting-edge data engineering.
- Qualifications: Extensive experience in Python and serverless AWS environments required.
The predicted salary is between 125000 - 146000 € per year.
Network IT is seeking a Senior Data Engineer located in Normanton, England, to enhance data engineering capabilities. The ideal candidate will have extensive experience in Python programming, a solid understanding of serverless AWS cloud environments, and will work at a senior or lead level.
The role offers competitive compensation of £125K - £146K for full-time employment, though visa sponsorship is not provided.
Lead Data Engineer - Python & Serverless AWS employer: Network IT
Network IT is an excellent employer that fosters a collaborative and innovative work culture, providing its employees with the opportunity to work on cutting-edge data engineering projects in a supportive environment. Located in Normanton, England, the company offers competitive compensation packages, along with ample opportunities for professional growth and development, making it an ideal place for those looking to advance their careers in technology.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer - Python & Serverless AWS
✨Tip Number 1
Network, network, network! Reach out to folks in the industry on LinkedIn or at local meetups. You never know who might have a lead on that perfect Lead Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects and any serverless AWS solutions you've built. This will give you an edge and demonstrate your expertise.
✨Tip Number 3
Prepare for those interviews! Brush up on common data engineering questions and be ready to discuss your experience with Python and AWS. Practice makes perfect, so consider mock interviews with friends.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the right fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Lead Data Engineer - Python & Serverless AWS
Some tips for your application 🫡
Show Off Your Python Skills:Make sure to highlight your experience with Python in your application. We want to see how you've used it in real-world projects, so don’t hold back on the details!
Serverless AWS Experience is Key:Since we're all about serverless AWS environments, be sure to mention any relevant projects or roles where you've worked with AWS. This will help us see how you fit into our team.
Tailor Your Application:Take a moment to customise your application for this role. We love seeing candidates who take the time to align their skills and experiences with what we’re looking for.
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 us!
How to prepare for a job interview at Network IT
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with Python programming in detail, including any frameworks or libraries you've used. Practising coding challenges can also help you demonstrate your problem-solving abilities.
✨Master Serverless AWS Concepts
Since the role focuses on serverless AWS environments, ensure you understand key concepts like Lambda, API Gateway, and DynamoDB. Be prepared to explain how you've implemented these technologies in past projects and how they can enhance data engineering capabilities.
✨Showcase Leadership Experience
As a Lead Data Engineer, you'll need to demonstrate your leadership skills. Think of examples where you've led a team or project, and be ready to discuss how you motivate others and drive results. This will show that you're not just technically skilled but also capable of guiding a team.
✨Prepare Questions for Them
Interviews are a two-way street, so come armed with thoughtful questions about the company and the role. Ask about their data engineering processes, team dynamics, or future projects. This shows your genuine interest and helps you assess if the company is the right fit for you.
