Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and manage ETL pipelines using AWS for telecom data processing.
- Company: Leading tech services company in the UK with a focus on innovation.
- Benefits: Dynamic work environment and opportunities for professional growth.
- Other info: Full-time, on-site role in Ipswich, perfect for experienced data engineers.
- Why this job: Join a team that drives data analytics in the exciting telecom sector.
- Qualifications: Experience in Python, SQL, and telecom data pipelines required.
The predicted salary is between 36000 - 60000 £ per year.
A leading technology services company in the UK is seeking an experienced AWS Data Engineer to support data processing and analytics initiatives. The candidate will design ETL pipelines using AWS services and manage data solutions in the telecom domain.
Required skills include:
- Python
- SQL
- Expertise in telecom data pipelines
The role is full-time, on-site in Ipswich, and ideal for someone with 3–10 years of experience. The company offers a dynamic work environment focused on innovation.
Telecom Data Engineer - AWS, ETL, Redshift & Iceberg in Ipswich employer: Ampstek
Contact Detail:
Ampstek Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Telecom Data Engineer - AWS, ETL, Redshift & Iceberg in Ipswich
✨Tip Number 1
Network like a pro! Reach out to folks in the telecom and data engineering space on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ETL pipelines and any projects you've worked on using AWS, Python, and SQL. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions, especially those related to telecom data pipelines. Practice explaining your thought process clearly and confidently.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Telecom Data Engineer - AWS, ETL, Redshift & Iceberg in Ipswich
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS, ETL, and telecom data pipelines. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
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 your background makes you a perfect fit for our team at StudySmarter.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in Python and SQL. We love seeing specific examples of how you’ve used these skills in past roles, especially in designing ETL pipelines.
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 this exciting opportunity!
How to prepare for a job interview at Ampstek
✨Know Your Tech Stack
Make sure you’re well-versed in AWS services, ETL processes, and the specific tools mentioned in the job description like Redshift and Iceberg. Brush up on your Python and SQL skills, as you might be asked to solve technical problems or write code during the interview.
✨Understand the Telecom Domain
Since the role focuses on telecom data pipelines, it’s crucial to have a solid understanding of the telecom industry. Familiarise yourself with common challenges and trends in telecom data processing, so you can discuss how your experience aligns with their needs.
✨Prepare for Behavioural Questions
Expect questions about teamwork, problem-solving, and innovation. Think of examples from your past experiences that showcase your ability to work in dynamic environments and how you’ve contributed to successful projects in the data engineering space.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current data initiatives, team structure, or how they foster innovation within the company. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.