Senior Data Engineer (Azure/Neo4j)

Location: Remote, Colombia

Company

hirify.global partners with global enterprises across North and South America to digitize and automate operations and develop digital products and services.

What you will do

• Design, build, and maintain scalable data pipelines and lakehouse architectures using Azure Databricks, Azure Data Factory, Databricks Workflows, ADLS Gen2, and Delta Lake.
• Implement data governance, access control, cataloging, and lineage using Unity Catalog, aligned with Microsoft Purview.
• Design semantic data models, ontologies, and taxonomies for complex business domains and relationships.
• Build knowledge graphs using RDF and OWL, and implement Neo4j graph database solutions on Azure infrastructure.
• Collaborate with data architects, analysts, and business stakeholders across Azure Synapse and Microsoft Fabric; translate relationships into architecture diagrams using Visio and Miro.
• Ensure data quality, performance, reliability, scalability, documentation, and integration with downstream analytics and AI/ML applications, including Azure OpenAI Service and Azure AI Studio where applicable.

Requirements

• 8+ years of experience in data engineering, including production-grade data pipelines.
• Hands-on production experience with the Microsoft Azure data stack, including Azure Databricks, Azure Synapse Analytics, and/or Azure Data Factory.
• Hands-on experience with Databricks for data processing, transformation, and analytics workloads.
• Experience implementing data governance and cataloging with Unity Catalog.
• Practical experience with RDF and OWL for knowledge representation and ontology development.
• Hands-on experience with Neo4j or other graph database technologies, semantic modeling, and graph theory concepts.
• Proficiency with Visio and Miro for diagramming and process mapping.
• Strong SQL skills and experience with Python or Scala for data engineering.
• Understanding of relational, dimensional, and graph-based data modeling, plus strong analytical, problem-solving, and communication skills across technical and business teams.

Nice to have

• Experience with SPARQL for RDF data.
• Familiarity with Azure SQL Database, Microsoft Fabric, and Azure Event Hubs.
• Experience integrating semantic or graph data with AI, ML, or GenAI applications, particularly through Azure OpenAI Service.
• Knowledge of metadata management and enterprise data governance frameworks, including Microsoft Purview.
• Microsoft certifications such as Azure Data Engineer Associate or Fabric Analytics Engineer Associate.
• Experience in Agile/Scrum environments.

Culture & Benefits

• Remote position based in Colombia.
• Work with global enterprise clients across North and South America.
• Equal opportunity employment with reasonable accommodations available during the recruitment process.