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Stackstudio Digital Ltd.
AWS Data Engineer
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Ipswich
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Description
Job title: AWS Data Engineer Location: Ipswich (Onsite- 5 days) Type of Employment- Permanent Job Overview: 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, CodePipeline, 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 . TPBN1_UKTJ
Role tech stack
AWS
Processing
Git
Apache Airflow
Amazon Redshift
Stackstudio Digital Ltd.
AWS Data Engineer
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