At a Glance
- Tasks: Design and implement data solutions using Python in a serverless AWS environment.
- Company: Join a leading tech firm in Normanton, shaping the future of data engineering.
- Benefits: Attractive salary package and opportunities for professional growth.
- Other info: Dynamic team environment with potential for career advancement.
- Why this job: Be at the forefront of data innovation and make a significant impact.
- Qualifications: Proven experience in data engineering with strong Python skills.
The predicted salary is between 125000 - 146000 € per year.
We are looking for a Data Engineer with a strong background in data engineering, ideally at a senior or lead level. You must have extensive experience with Python coding and working with serverless Python components. A solid understanding of serverless AWS cloud environments is essential.
Tech Stack:
- Amazon AWS
- Python
- Serverless
- SOLID
Compensation: £125K - 146K
Role Type: Full time
Visa Sponsorship: Not provided
Senior Data Engineer in Normanton - Network IT employer: Network IT
At Network IT, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our Normanton location provides a vibrant environment with ample opportunities for professional growth, competitive compensation, and a commitment to employee development, making it an ideal place for talented individuals seeking meaningful and rewarding careers in data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Normanton - Network IT
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with AWS and Python. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving serverless architecture and Python. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of AWS services. Practice common data engineering problems and be ready to discuss your past experiences in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented data engineers like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior Data Engineer in Normanton - Network IT
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python and serverless AWS environments. We want to see how your skills match the job description, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Senior Data Engineer role. Share specific examples of your work that align with our tech stack and values.
Showcase Your Problem-Solving Skills:In your application, include instances where you've tackled complex data challenges. We love seeing how you approach problems, especially in serverless environments, so let us know how you’ve made an impact!
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 Network IT
✨Know Your Tech Stack Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python and AWS. Brush up on serverless components and be ready to discuss how you've used them in past projects.
✨Prepare for Technical Questions
Expect to face technical questions that test your coding skills and understanding of data engineering principles. Practise coding challenges in Python and be prepared to explain your thought process clearly.
✨Showcase Your Problem-Solving Skills
Be ready to discuss specific challenges you've faced in previous roles and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your answers effectively.
✨Ask Insightful Questions
At the end of the interview, ask questions that show your interest in the role and the company. Inquire about their current projects or how they approach data engineering challenges in a serverless environment.
