Senior Azure Data Engineer (AI)

TL;DR

Senior Azure Data Engineer (AI): Building and maintaining a scalable, distributed data estate to support advanced analytics and AI applications with an accent on data ingestion, ETL pipeline design, and BI architecture. Focus on linking complex datasets, ensuring data quality, and collaborating with security and legal teams to maintain global compliance.

Company

A global organizational consulting firm that helps clients synchronize strategy and talent to drive superior performance.

What you will do

• Design and maintain the Azure data estate architecture to meet evolving business requirements.
• Develop and optimize sophisticated ETL processes using Azure Synapse pipelines.
• Automate data ingestion from diverse internal and external platforms.
• Create data models and BI solutions to ensure data accessibility and quality for stakeholders.
• Collaborate with security, networking, and legal teams to ensure compliance with global data residency laws.
• Contribute to the organizational data strategy, including governance and infrastructure practices.

Requirements

• Degree in Computer Science, Statistics, Information Technology, or a related quantitative field.
• Proven experience in Azure data engineering and Business Intelligence architecture.
• Strong understanding of data modeling, ETL design, and data quality management.
• Familiarity with machine learning and AI frameworks such as Spark and TensorFlow.
• Ability to navigate complex data residency and privacy regulations.
• Microsoft Azure Data Engineer or BI Developer certifications are preferred.

Nice to have

• Experience with Azure AI Foundry for building and deploying AI models and agents.
• Knowledge of Azure OpenAI Service and prompt flow integration.