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Senior Microsoft Fabric Data Engineer learn Foundry
- Dublin, Dublin, Ireland
- Dublin, Dublin, Ireland
À propos
Skills, Experience, Qualifications, If you have the right match for this opportunity, then make sure to apply today.
EU Passport or Stamp 4 essential Join a high-performing in-house Data team that has been using Microsoft Fabric for over two years.
This backend-focused role combines scalable data engineering, semantic modelling, and governed analytics delivery in a complex, high-volume environment.
If youre energised by scale, pipeline complexity, and the opportunity to shape data, analytics, and AI strategy, this is an outstanding opportunity.
Most organisations struggle with scalability and maintenance because multiple teams work across multiple products, each with its own custom pipelines.
In contrast, this team runs a single metadata-driven pipeline that delivers proven 20x efficiency gains.
Their enterprise-scale, Microsoft Fabric platform supports high-volume ingestion, scalable data processing, cross-source validation, historical comparisons, complex calculations, transformation logic, and reusable semantic models for governed reporting.
This company is proactively upskilling their workforce with over a year of AI investment.
Staff training programs, hands-on AI clinics, enterprise licenses, a dedicated in-house AI Training Academy, and even a hackathon on the horizon! They're building an AI powerhouse from within! Role focus 40% Data mapping, transformation, and ongoing pipeline maintenance in Microsoft Fabric.
20% Data modelling and semantic layer design.
15% New product work.
15% Power BI and data governance.
10% Innovation, including Microsoft AI Foundry, AI-enabled analytics, automation, and agentic solutions.
What youll do in this Senior Microsoft Fabric Data Engineer role Design and deliver scalable data and analytics solutions on Microsoft Fabric.
Build and optimise ingestion pipelines, semantic models, and reporting layers.
Translate business needs into trusted, reusable data products.
Improve governance, automation, and delivery across the analytics estate.
Investigate and resolve complex data and platform issues.
Explore opportunities to apply AI and automation, including Microsoft AI Foundry.
Essential Skill-set Significant enterprise data engineering and analytics experience.
Strong data architecture capability.
Hands-on Microsoft Fabric experience across most of the following: Lakehouse, Data Factory, Dataflows Gen2, Python notebooks, and KQL DB.
A strong understanding of Microsoft Fabric concepts, architecture, and best practices, with hands-on experience applying them in real-world solutions.
Stored procedures for automated transformation logic in Fabric.
Advanced data modelling and semantic layer design skills.
Strong SQL skills for data integration, transformation, and analytics.
Experience building metadata-driven ingestion pipelines and automating file-based processing.
Strong source-to-target mapping and pipeline maintenance experience.
Experience designing, optimising, and maintaining semantic models for scalable reporting and self-service analytics.
Exposure to AI-enabled analytics and Microsoft AI Foundry is highly desirable. xyswxtq
A curious, proactive mindset with a genuine interest in innovation and shaping better solutions.
Friendly collaborative team player is key! Skills: microsoft fabric
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Compétences linguistiques
- English
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