Please note that our Terms & Conditions and Privacy Notice are applicable.
1
Key Responsibilities:Design, build and maintain automated end-to-end data pipelines integrating internal and external systems into a centralized data platform.Develop and manage a Single Source of Truth (SSOT) database, consolidating data from ERP, OT/IoT, SharePoint and other enterprise systems.Build scalable data ingestion frameworks, including API integrations, SQL procedures and ETL/ELT pipelines.Design and maintain scalable data models (staging, core, marts and feature sets) to support reporting, analytics and machine learning.Ensure data platforms and pipelines are AI/ML-ready, supporting predictive analytics, automation and advanced insights.Enforce data governance, security, documentation and change management standards, while collaborating with business units to improve data quality and integration. Requirements:Degree in Computer Science, Information Systems, Engineering, Mathematics or a related field.5+ years experience in data engineering or data platform development at a senior or lead level.Strong programming capability in Python and SQL, with experience designing scalable data architectures.Hands-on experience with API integrations, ETL/ELT frameworks, automated workflows and production data environments.Solid understanding of data modelling, machine learning concepts and preparing data for ML-driven analytics.
https://www.jobplacements.com/Jobs/D/Data--ML-Engineer-1268818-Job-Search-03-05-2026-04-19-54-AM.asp?sid=gumtree
Invalid date
Job Placements