DATA AI ENGINEER

We are looking for a Data Engineer to own the data pipelines, storage architecture, and AI-enablement layer for a media monitoring platform. This role will focus on building reliable data foundations for large-scale ingestion, processing, enrichment, and serving of multilingual media content for NLP and machine learning use cases. 

Core Responsibilities 

• Design and maintain scalable batch and streaming pipelines for news, social media, web, and broadcast data ingestion. 

• Build ETL/ELT processes to clean, normalize, deduplicate, enrich, and structure unstructured media content. 

• Prepare datasets, labels, and feature-ready data for AI/ML model training, fine-tuning, and evaluation. 

• Support NLP workflows such as entity extraction, topic classification, sentiment analysis, clustering, summarisation, and alerting. 

• Ensure data quality, schema consistency, lineage, observability, and fault tolerance across the platform. 

• Optimize storage, compute, and query performance across the data stack. 

• Implement governance, access control, and auditability for sensitive or regulated content. 

• Work closely with the full stack developer to align backend data services with product requirements and API consumption patterns.
  • Background in media monitoring, social listening, content intelligence, or news analytics. 
  • Experience with multilingual datasets and text-heavy pipelines. 
  • Exposure to LLM-based systems, vector search, or retrieval pipelines. 
  • Familiarity with secure deployment environments and data governance practices.