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Salary
$66k – $169k per year (Estimated)
Location
Remote/Hybrid (Dublin, Ireland)
Seniority
Senior · 7+ years exp
Employment
Contractor
Overview
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Impact
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TekEnable is an Irish software company founded in 2002 and headquartered in Dublin. It builds business applications and automation on the Microsoft platform. The company works with insurers, utilities and public bodies.

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
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