1 of 1 Feature Engineering Jobs in Billericay

AI/ML use cases. You'll work with diverse datasets spanning prepaid, financial services, gambling, and payments, supporting business-critical decisions with high-quality, well-structured data. While engineering will be your focus, you'll also need to collaborate across analytics and product functions-comfortable switching between roles to meet team goals. This role includes occasional global travel … the role: Data Pipeline Development: Build and maintain batch and streaming pipelines using Azure Data Factory and Azure Databricks. Data Categorisation & Enrichment: Structure unprocessed datasets through tagging, standardisation, and feature engineering. Automation & Scripting: Use Python to automate ingestion, transformation, and validation processes. ML Readiness: Work closely with data scientists to shape training datasets, applying sound feature selection techniques. … Data Validation & Quality Assurance: Ensure accuracy and consistency across data pipelines with structured QA checks. Collaboration: Partner with analysts, product teams, and engineering stakeholders to deliver usable and trusted data products. Documentation & Stewardship: Document processes clearly and contribute to internal knowledge sharing and data governance. Platform Scaling: Monitor and tune infrastructure for cost-efficiency, performance, and reliability as data More ❯