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Fabric Data Engineer

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Onsite

Fabric Data Engineer

FalconSmartIT

Fabric Data Engineer

Skills

SQL QueriesData EngineeringPythonDatabricksData AnalysisConfluenceAzure

1 month ago

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Important information


Location:

Letterkenny, Co. Donegal, Ireland

Work mode:

Onsite

Published on:

25 September 2026

What they need


Job Title**: Fabric Data Engineer**

Job Location : IDA Business Park, Letterkenny, Co. Donegal, F92 FP83, Ireland (Hybrid)

Job Type : Contract (6 months initially)

Job Description:

Key Responsibilities:

  • Design, develop, and orchestrate end-to-end data pipelines using Microsoft Fabric
  • Build scalable and reusable data frameworks, including:
  • Config-driven pipeline architecture
  • Centralized configuration tables supporting multiple pipelines
  • Develop and maintain Spark notebooks and pipelines
  • Implement ETL/ELT processes using SQL, Spark, and Python
  • Perform data modeling and transformations for analytics and reporting
  • Collaborate with architectural and engineering teams to design robust solutions
  • Ensure adherence to enterprise standards including:
  • Confluence documentation
  • CI/CD pipelines
  • Code quality and deployment guidelines
  • Support deployments across multiple client environments
  • Own deliverables end-to-end with minimal supervision

Required Skills & Experience:

Must-Have

  • 8+ years of experience as a Data Engineer
  • Strong experience with Microsoft Fabric (2+ years of work experience in Fabric)
  • OR strong background in Azure Synapse Analytics with Azure data services (ADF, Databricks, Delta tables etc.)
  • Good to have Fabric certified candidates
  • Hands-on experience with:
  • SQL
  • Data Modeling
  • ETL / ELT Pipelines
  • Experience with Spark notebooks and pipelines or Python experience for data engineering use cases
  • Create Semantic models and generate BI reports
  • Proven ability to design and orchestrate scalable data solutions
  • Experience working in environments with CI/CD processes for deployments

Nice-to-Have:

  • Experience building generic or reusable data frameworks
  • Familiarity with enterprise documentation standards (e.g., Confluence)

Soft Skills:

  • Self-starter and quick learner
  • Strong sense of ownership and accountability
  • Ability to work independently in a fast-paced environment
  • Clear communicator with good collaboration skills

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