As a Data Engineer , you will design and build the data infrastructure that powers enterprise AI and analytics use cases. You will be responsible for data pipelines, data quality, and ensuring reliable, governed data flows from source systems through to machine learning models and analytics dashboards in a telecom environment.

What You’ll Do and How You’ll Succeed

• Design and implement batch and streaming data pipelines for telecom data sources such as CDRs, network events, CRM, and billing.
• Build and maintain data lakehouse architecture using bronze, silver, and gold layers on Databricks or similar platforms.
• Implement data quality checks, monitoring, and alerting to improve reliability and trust in the data estate.
• Create reusable data transformations that support ML feature engineering.
• Optimise query performance and storage costs across large-scale telecom datasets, including environments ...