Fabric Data Engineer
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At a glance
- Employment type
- Contract
- Location
- Dublin, Ireland
- Workplace
- On-site
- Day rate
- €500/day (EUR)
- Category
- Data engineering
Technologies & skills
Primary technologies
What you'll be doing
Join a leading Irish transportation organisation as a Fabric Data Engineer, playing a key role in migrating on-premise data to Microsoft Fabric and building a modern data platform. You'll own Fabric architecture, engineering standards, and data pipelines, shaping advanced analytics capabilities in a major transformation programme.
- Own the data ingestion and pipeline migration from on-premise to Fabric
- Develop robust, scalable and well-controlled data pipelines
- Design, build and optimise data pipelines and data solutions
- Establish the evolution of the organisation’s modern data platform and advanced analytics capabilities
- Own the Fabric architecture, engineering standards and best practices
Key requirements
Must-have
- Strong Data Engineering experience
- Hands-on experience with Microsoft Fabric
Role signals
- Technical focus
- data engineering
- Architecture / system design
- Indicated in the listing
- Hands-on vs management
- Hands-on
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Full job description
Fabric Data Engineer – Start working immediately
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Long term contract with potential extension
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Microsoft Fabric migration and modern data engineering
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1 stage interview process
A leading Irish owned transportation organisation is undertaking a major data transformation programme, migrating its on-premise data estate to Microsoft Fabric and building a modern data platform to support faster delivery.
This is an excellent opportunity for a Fabric Data Engineer with strong Microsoft Fabric experience to play a key role in a large-scale data migration and transformation programme. The interview process consists of 1 stage only, meaning you can start showing significant impact immediately.
With the first business domain already progressing through migration, this is an opportunity to join at an important stage of the transformation and make a tangible impact on the future data architecture.
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Why You’ll Love It Here:
- Join an elite team of experts in delivering a major transformation of the organisation’s data estate
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Own the Fabric architecture, engineering standards and best practices
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Shape a data platform designed to enable predictive modelling, forecasting and advanced analytics
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Play a key role in modernising how data is delivered, controlled, reconciled and consumed across the business
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Daily rate up to €500
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You Will:
- Own the data ingestion and pipeline migration from on-premise to Fabric
-
Develop robust, scalable and well-controlled data pipelines
-
Design, build and optimise data pipelines and data solutions
-
Establish the evolution of the organisation’s modern data platform and advanced analytics capabilities
-
Skills / Experience:
- Strong Data Engineering experience
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Hands-on experience with Microsoft Fabric
For more information, contact
For additional opportunities, visit the Archer Recruitment website
Interview prep pack
Grounded in this listing. Use it to prepare examples before you apply.
Your interview focus
Based on this listing, the Fabric Data Engineer role centers on leading the migration of on-premise data systems to Microsoft Fabric and building a modern, scalable data platform for a major transportation organization in Dublin.
- Microsoft Fabric hands-on expertise·High
- Data pipeline migration leadership·High
- Modern data platform design·Medium
Only have 30 minutes?
Follow a focused preparation plan based on this job.
Start 30-minute prep
Your 30-minute plan
Review Microsoft Fabric Documentation and Case Studies
0–8 minStudy the latest Microsoft Fabric features, migration tools, and real-world migration examples to refresh your technical knowledge.
Prepare STAR Stories for Migration and Pipeline Projects
8–15 minOutline 2-3 concise examples of your experience with data migrations, pipeline design, and platform modernization using the STAR method.
Summarize Data Engineering Best Practices
15–20 minList key standards and practices you have implemented or improved, focusing on pipeline robustness, scalability, and governance.
Research the Organization’s Data Transformation Goals
20–25 minLook for public information or recent news about the company’s data initiatives to tailor your questions and show engagement.
Draft Role-Specific Questions
25–30 minPrepare a shortlist of insightful questions about the migration project, team structure, and future platform vision.
Talking points
, 5 itemsMicrosoft Fabric Migration Experience
You will need to demonstrate hands-on experience migrating data estates to Microsoft Fabric, including challenges faced and solutions implemented.
Designing Robust Data Pipelines
The role requires building scalable, well-controlled pipelines; be ready to discuss your approach to pipeline reliability, monitoring, and error handling.
Establishing Data Engineering Standards
You are expected to own engineering standards and best practices, so prepare examples of how you have set or improved standards in previous roles.
Modern Data Platform Evolution
The organization is evolving its data platform for advanced analytics; discuss your experience enabling predictive modeling and analytics through platform design.
Optimizing Data Solutions
Optimization is a key responsibility; be ready to explain how you have improved performance, scalability, or cost-efficiency in past data solutions.
What to research
, 4 itemsMicrosoft Fabric Architecture and Features
Review the core components, migration tools, and best practices for Microsoft Fabric, especially as they relate to large-scale data estate migrations.
Data Pipeline Design Patterns
Refresh your knowledge of robust, scalable pipeline architectures and common patterns for data ingestion, transformation, and delivery.
Modern Data Platform Capabilities
Understand how modern data platforms support advanced analytics, predictive modeling, and business intelligence.
Data Engineering Standards and Governance
Be prepared to discuss how you establish and enforce engineering standards, data quality, and governance in data projects.
Questions to ask
, 6 itemsWhat is the current stage of the Microsoft Fabric migration, and what are the immediate priorities for this role?
Why ask this? To understand where you will be contributing first and how your impact will be measured.
How is the data engineering team structured, and how does this role interact with other teams (e.g., analytics, IT, business stakeholders)?
Why ask this? To clarify collaboration expectations and reporting lines.
What are the main technical challenges anticipated during the migration to Microsoft Fabric?
Why ask this? To assess the complexity of the project and areas where your expertise will be most valuable.
How are engineering standards and best practices currently defined and enforced within the team?
Why ask this? To gauge the maturity of processes and your potential influence on standards.
What opportunities exist for shaping the future data architecture and platform capabilities beyond the initial migration?
Why ask this? To understand the long-term vision and your role in ongoing platform evolution.
How is success measured for this role during and after the migration project?
Why ask this? To clarify performance expectations and key deliverables.
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