Global Data Engineer
Billericay, England, United Kingdom
Hybrid / WFH Options
Hybrid / WFH Options
epay, a Euronet Worldwide Company
hire a mid-level Data Engineer (2+ years' experience) who has worked with Azure and Databricks , and can contribute immediately across pipeline development, categorisation, and optimisation for 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 … globally. Work hands-on with cutting-edge Azure technologies, with a strong focus on Databricks and Python development. Play a key role in evolving epay's data architecture and ML-enablement strategies. In the first few months, you would have: Taken ownership of a data pipeline or transformation flow within Databricks and contributed to its optimisation and reliability. Worked across … 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. More ❯
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