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- Tasks: Build scalable ETL pipelines and support data processing in the telecom sector.
- Company: Leading telecom company focused on innovative data solutions.
- Benefits: Attractive salary, flexible working options, and opportunities for skill development.
- Other info: Collaborative environment with potential for career advancement.
- Why this job: Join a dynamic team and make an impact in telecom analytics.
- Qualifications: Experience with AWS, ETL processes, and telecom domain knowledge required.
The predicted salary is between 60000 - 80000 £ per year.
Domain: Telecom Domain experience - MUST HAVE
We are seeking an experienced AWS Data Engineer with strong expertise in ETL pipelines, Redshift, Iceberg, Athena, and S3 to support large-scale data processing and analytics initiatives in the telecom domain. The candidate will work closely with data architects, business analysts, and cross-functional teams to build scalable and efficient data solutions supporting network analytics, customer insights, billing systems, and telecom OSS/BSS workflows.
AWS Data Engineer: Telecom Analytics & ETL Pipelines in City of London employer: Beat My Salary
Contact Detail:
Beat My Salary Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS Data Engineer: Telecom Analytics & ETL Pipelines in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the telecom domain on LinkedIn or at industry events. Building connections can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with ETL pipelines, Redshift, and other relevant tools. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common AWS Data Engineer questions. Practice explaining your experience with telecom analytics and how you've tackled challenges in past projects.
✨Tip Number 4
Don't forget to apply through our website! We often have exclusive listings that might not be found elsewhere. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace AWS Data Engineer: Telecom Analytics & ETL Pipelines in City of London
Some tips for your application 🫡
Show Your Telecom Experience: Make sure to highlight any experience you have in the telecom domain. We want to see how your background aligns with our needs, so don’t hold back on sharing relevant projects or roles you've had!
Detail Your Technical Skills: When it comes to AWS, ETL pipelines, and tools like Redshift and Athena, we want to know what you can bring to the table. Be specific about your skills and experiences with these technologies to help us understand your expertise.
Tailor Your Application: Don’t just send a generic application! We love it when candidates take the time to tailor their CV and cover letter to our job description. Show us why you’re the perfect fit for this role at StudySmarter.
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!
How to prepare for a job interview at Beat My Salary
✨Know Your Telecom Stuff
Make sure you brush up on your telecom domain knowledge. Understand the key concepts and challenges in the industry, as well as how data engineering plays a role in network analytics and customer insights. This will show that you're not just technically skilled but also understand the business context.
✨Master the Tech Stack
Familiarise yourself with AWS services like Redshift, Iceberg, Athena, and S3. Be ready to discuss your experience with ETL pipelines and how you've used these tools in past projects. We recommend preparing specific examples that highlight your problem-solving skills and technical expertise.
✨Collaborate Like a Pro
Since you'll be working with cross-functional teams, it's crucial to demonstrate your collaboration skills. Think of examples where you've successfully worked with data architects or business analysts. Highlight how you communicated complex data concepts to non-technical stakeholders.
✨Prepare Questions
Interviews are a two-way street! Prepare insightful questions about the company's data initiatives, team structure, and future projects in the telecom space. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.