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- Tasks: Design and develop ETL pipelines using AWS services for telecom data processing.
- Company: Join a leading telecom company focused on innovative data solutions.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Dynamic work environment with strong career advancement potential.
- Why this job: Make an impact in the telecom industry with cutting-edge data technologies.
- Qualifications: 3-10 years of data engineering experience with AWS and telecom datasets.
The predicted salary is between 36000 - 60000 £ per year.
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.
Key Responsibilities
- Data Engineering & ETL Development
- Design, develop, and maintain ETL/ELT pipelines using AWS-native services (Glue, Lambda, EMR, Step Functions).
- Implement data ingestion from telecom systems like OSS/BSS, CDRs, mediation systems, CRM, billing, network logs.
- Optimize ETL workflows for large-scale telecom datasets (high volume, high velocity).
- Data Warehousing (Redshift)
- Build and manage scalable Amazon Redshift clusters for reporting and analytics.
- Create and optimize schemas, tables, distribution keys, sort keys, and workload management.
- Implement Redshift Spectrum to query data in S3 using external tables.
- Data Lake & Iceberg
- Implement and maintain Apache Iceberg tables on AWS for schema evolution and ACID operations.
- Build Iceberg-based ingestion and transformation pipelines using Glue, EMR, or Spark.
- Ensure high performance for petabyte-scale telecom datasets (CDRs, tower logs, subscriber activity).
- Querying & Analytics (Athena)
- Develop and optimize Athena queries for operational and analytical reporting.
- Integrate Athena with S3/Iceberg for low-cost, serverless analytics.
- Manage Glue Data Catalog integrations and table schema management.
- Storage (S3) & Data Lake Architecture
- Design secure, cost-efficient S3 data lake structures (bronze/silver/gold zones).
- Implement data lifecycle policies, versioning, and partitioning strategies.
- Ensure data governance, metadata quality, and security (IAM, Lake Formation).
- Telecom Domain Expertise
- Understand telecom-specific datasets such as: CDR, xDR, subscriber data, Network KPIs (4G/5G tower logs), Customer lifecycle & churn data, Billing & revenue assurance.
- Build models and pipelines to support network analytics, customer 360, churn prediction, fraud detection, etc.
- Performance Optimization & Monitoring
- Tune Spark/Glue jobs for performance and cost.
- Monitor Redshift/Athena/S3 efficiency and implement best practices.
- Perform data quality checks and validation across pipelines.
- DevOps & CI/CD (Preferred)
- Use Git, Code Pipeline, Terraform/CloudFormation for infrastructure and deployments.
- Automate pipeline deployment and monitoring.
Required Skills
- 3–10 years' experience in data engineering.
- Strong hands-on experience with: AWS S3, Athena, Glue, Redshift, EMR/Spark, Apache Iceberg, Python/SQL.
- Experience in telecom data pipelines and handling large-scale structured/semi-structured data.
- Strong problem-solving, optimization, and debugging skills.
Good to Have Skills
- Knowledge of AWS Lake Formation, Kafka/Kinesis, Airflow, or Delta/Apache Hudi.
- Experience with ML workflows in telecom (churn, network prediction).
- Exposure to 5G network data models.
AWS Data Engineer in Ipswich employer: Ampstek
Contact Detail:
Ampstek Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS Data Engineer in Ipswich
✨Network Like a Pro
Get out there and connect with folks in the telecom and data engineering space. Attend meetups, webinars, or even local tech events. You never know who might have the inside scoop on job openings or can put in a good word for you!
✨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your hands-on experience with AWS services like Glue, Redshift, and S3. Share specific examples of how you've optimised ETL pipelines or tackled big data challenges in the telecom domain.
✨Tailor Your Approach
Before any interview, do your homework! Research the company and understand their data needs. Tailor your responses to show how your skills align with their projects, especially around network analytics and customer insights.
✨Apply Through Our Website
Don’t forget to check out our website for the latest job openings. Applying directly through us not only shows your interest but also gives you a better chance of getting noticed by the hiring team!
We think you need these skills to ace AWS Data Engineer in Ipswich
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS services like S3, Redshift, and Glue. We want to see how your skills align with the role, 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 passionate about data engineering in the telecom domain and how your background makes you a perfect fit for our team at StudySmarter.
Showcase Your Problem-Solving Skills: In your application, include examples of how you've tackled complex data challenges. We love seeing candidates who can think critically and optimise processes, especially in high-volume environments.
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 Ampstek
✨Know Your AWS Services
Make sure you brush up on your knowledge of AWS services like Glue, Redshift, and S3. Be ready to discuss how you've used these tools in past projects, especially in relation to ETL pipelines and data warehousing.
✨Showcase Telecom Experience
Since the role is focused on telecom data, prepare examples that highlight your experience with telecom datasets. Talk about specific projects where you handled CDRs or network KPIs, and how you optimised data processing for large-scale datasets.
✨Demonstrate Problem-Solving Skills
Be prepared to tackle some technical questions or case studies during the interview. Think through your approach to solving common data engineering challenges, such as performance optimisation or debugging ETL workflows.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team’s current projects, the tech stack they use, or how they measure success in their data initiatives. This shows your genuine interest in the role and the company.