Senior Azure Data Engineer (BI)

TL;DR

Senior Azure Data Engineer (BI): Organizing and processing large-scale HR data assets to build scalable data pipelines and BI solutions with an accent on ETL processes, data integration, and quality management. Focus on designing Azure data estate architecture, creating data models for analytics, and enabling insights for data scientists and strategic AI applications.

Company

hirify.global is a global firm with unique tools for assessing individual, team, and organizational performance, including psychometric tests, pay databases, and success profiles, focusing on AI strategy and transformation.

What you will do

• Design, develop, and maintain Azure data estate architecture adhering to IT policies and business needs.
• Establish and manage data feeds from internal/external platforms, ingestion tools, and storage.
• Build and optimize ETL processes using Azure Synapse pipelines for data extraction, transformation, and loading.
• Develop, test, and monitor data pipelines for reliability, scalability, performance, and automation.
• Manage structured/unstructured data and metadata, ensuring clean, accessible data for business use.
• Set up BI tools, views, permissions, and infrastructure for reporting, visualization, and user access.
• Contribute to data strategy, including privacy, security, governance, and compliance with data residency laws.

Requirements

• Degree in Computer Science, Statistics, IT, or quantitative field.
• Experience with Azure data tools, ETL, pipelines, Synapse, data modeling, and BI solutions.
• Skills in data acquisition, integration, quality management, and large complex datasets.
• Understanding of machine learning/AI libraries (TensorFlow, Spark) and data residency laws.
• Strong collaboration with security, privacy, legal, and digital teams.
• Microsoft Certified: Azure Data Engineer and Azure BI Developer preferred.

Nice to have

• Experience with Azure AI Foundry for building/deploying AI models and agents.
• Familiarity with Azure OpenAI Service, prompt flow, and model catalog.