Data Engineer (Azure/Fabric)

Location: Remote in the Philippines

Company

hirify.global is a technology consulting and managed services firm helping clients transform and manage their operations through Microsoft Azure, specializing in managed services, migration, custom application development, analytics, and DevOps.

What you will do

• Support multiple clients’ Azure Data Platform, Databricks, Fabric, and Power BI environments, resolving incidents and escalations within contracted SLAs.
• Implement, monitor, administer, tune, and enhance Microsoft data tool stacks, including ADF, SQL DW, Azure Synapse, Azure Databricks, Microsoft Fabric, and Power BI.
• Develop and support data solutions using multi-source ingestion, metadata-driven ETL, medallion data lake architecture, enterprise data warehousing, semantic models, and star schemas.
• Configure client environments according to governance, security, and well-architected framework best practices.
• Communicate technical issues and solutions to clients, manage ticket status and escalations, and participate in stakeholder meetings.
• Maintain environment documentation, research solutions, and collaborate with client stakeholders and internal team members.

Requirements

• Bachelor’s degree in Computer Science, Mathematics, or a related field, or equivalent certification.
• 3–5 years supporting solutions on Microsoft Azure and Fabric tool stacks for Data & AI, including ADF, SQL DW, Azure Synapse, Azure Databricks, Microsoft Fabric, and Microsoft Power BI.
• Experience in a support role and understanding of standard support processes such as ITIL.
• Proficiency in enterprise data warehousing, semantic models, data lake architecture, and metadata-driven ETL processes.
• Experience with DevOps/DataOps, including Git-based source control and automated deployment pipelines.
• Strong verbal and written communication, client relationship, vendor management, problem-solving, and learning skills.
• Ability to work in a fast-paced, rapidly changing environment and continuously upgrade technical skills.
• Full-time employment; remote work is performed with a team of data analytics professionals.

Nice to have

• Experience implementing or supporting Agentic AI, machine learning, predictive analytics, or LLM use cases on the Microsoft Data & AI tool stack.

Culture & Benefits

• Collaborative environment focused on solving challenging client problems and supporting collective growth.
• Culture encourages experimentation, direct feedback, accountability, and continuous learning.
• Remote work with collaboration across a team of data analytics professionals.
• Visa sponsorship is not available.