Location: Dublin / Hybrid Working
Contract Type: Fixed-Term Contract / Daily Rate Engagement
Reporting To: Senior BI Architect

We are seeking an experienced Senior Database/Data Warehouse Consultant (Integration Lead) to lead the design and implementation of enterprise-scale data integration solutions supporting a modern Microsoft Fabric platform.

The role will focus on building scalable integration frameworks, ETL/ELT processes, hybrid cloud architectures, and data quality capabilities that support critical operational and analytical workloads.

Key Responsibilities

• Lead the design and implementation of enterprise data integration solutions.
• Develop scalable Microsoft Fabric Data Factory and Azure Data Factory pipelines.
• Design and support enterprise integration frameworks and standards.
• Implement robust ETL/ELT solutions across cloud and on-premises environments.
• Build data ingestion, transformation, orchestration, and monitoring capabilities.
• Design and implement:
• Data quality frameworks
• Validation controls
• Reconciliation processes
• Logging and alerting mechanisms
• Support batch and near real-time data integration patterns.
• Optimise integration performance, scalability, and reliability.
• Document architecture, interfaces, pipelines, and data flows.
• Provide technical mentorship and knowledge transfer to internal teams.

Requirements

• 7+ years' experience in data integration, data engineering, or data warehouse consultancy.
• Proven experience delivering enterprise-scale data integration solutions.
• Strong experience with:
• Microsoft Fabric
• Fabric Data Factory
• Azure Data Factory
• Azure SQL
• SQL Server
• Lakehouse and Warehouse architectures
• Extensive ETL/ELT design and implementation experience.
• Experience integrating hybrid cloud and on-premises platforms.
• Strong SQL and data engineering skills.
• Experience implementing monitoring, logging, and exception-handling frameworks.
• Deep understanding of data quality, governance, and integration best practices.

Preferred Qualifications

• Degree in Computer Science, Data Engineering, Information Technology, or related field.
• Microsoft Azure Data Engineer certification or equivalent.
• Microsoft Fabric certification.

Key Skills

• Microsoft Fabric
• Fabric Data Factory
• Azure Data Factory
• Azure SQL
• SQL Server
• ETL / ELT
• Data Engineering
• Data Integration
• Data Warehousing
• Data Quality & Governance