Big Data Engineer

Key Responsibilities Design, develop and maintain high-volume data ingestion, transformation and processing pipelines using big data technologies. Build scalable audience builder pipelines, customer segmentation layers and ADR-ready datasets to support analytics and monetisation use cases. Develop batch and streaming data pipelines for processing data from telecommunications networks, CRM systems, digital platforms and external data sources. Apply data quality controls, validation, cleansing and enrichment logic to ensure trusted, production-ready datasets. Optimise pipeline performance, scalability and reliability to support high-volume data processing. Collaborate with Solution Architects, Data Scientists, Product Owners and Data Analysts to deliver data products and machine learning solutions. Integrate data from multiple enterprise systems using ETL/ELT frameworks, APIs and event-driven technologies. Support deployment, monitoring, troubleshooting and continuous improvement of data...