Data Engineer

Archer · Recruitment agency
Contract•Data engineering•€500/day (EUR)•Dublin, Ireland
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At a glance

Employment type
Contract
Workplace
On-site
Day rate
€500/day (EUR)

Technologies & skills

Primary technologies

PHP

Cloud & infrastructure

Azure

What you'll be doing

Join a leading Irish transportation organisation as a Data Engineer to drive a major data transformation, migrating on-premise data to Microsoft Fabric and building a modern, scalable data platform. Play a key role in shaping architecture, engineering standards, and advanced analytics capabilities.

  • 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

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

Data Engineer – Major Data Transformation

  • Daily rate up to €500

  • Microsoft Fabric migration and modern data engineering

  • Leading Irish owned organisation

A leading Irish-owned transportation organisation is embarking on a bold data transformation journey, moving its on-premise data estate to Microsoft Fabric and creating a modern, scalable data platform designed to accelerate insight, unlock innovation and fundamentally transform how data is delivered across the organisation.

This is an excellent opportunity for a Azure Data Engineer with strong Microsoft Fabric experience to play a key role in a large-scale data migration and transformation programme.

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.

  • Why You’ll Love It Here:

    • Own the transformation: Join an elite team at the heart of a major data transformation, shaping the future of the organisation’s data estate from the ground up

  • Be the Fabric authority: Take ownership of the Microsoft Fabric architecture, setting engineering standards and making the big technical calls

  • Build for what’s next: Shape a modern data platform engineered to unlock predictive modelling, forecasting, advanced analytics and AI-driven insight

  • Have real influence: This is a high-visibility role where your architecture, engineering decisions and ideas will directly shape the organisation’s data strategy

  • 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

  • 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 role centers on leading the migration of on-premise data systems to Microsoft Fabric, designing and optimizing scalable data pipelines, and shaping a modern data platform for a major Irish transportation organization.

  • Microsoft Fabric expertise·High
  • Data pipeline architecture·High
  • Cloud migration experience·High
  • Advanced analytics enablement·Medium

Only have 30 minutes?

Follow a focused preparation plan based on this job.

Start 30-minute prep

Your 30-minute plan

  1. Review Microsoft Fabric Documentation and Case Studies

    0–8 min

    Study the latest features, migration tools, and real-world Fabric migration examples to speak confidently about technical choices.

  2. Prepare STAR Stories for Data Migration and Pipeline Projects

    8–15 min

    Outline 2-3 detailed examples highlighting your role, challenges, and outcomes in similar transformations.

  3. Refresh Data Quality and Governance Best Practices

    15–20 min

    Summarize your approach to ensuring data integrity and compliance during migrations.

  4. Research the Organization’s Industry and Data Challenges

    20–25 min

    Understand typical data needs and transformation drivers in transportation to tailor your answers.

  5. Draft Targeted Questions for the Interview Panel

    25–30 min

    Prepare thoughtful questions about the migration, team, and future analytics opportunities.

Likely questions

, 6 items

Priority reflects how strongly this topic is emphasised in the job listing, not whether it will be asked.

Talking points

, 5 items

  • End-to-End Data Migration to Microsoft Fabric

    Demonstrate your experience planning and executing large-scale migrations, including challenges faced and solutions implemented.

  • Designing Scalable Data Pipelines

    Showcase your ability to build robust, maintainable pipelines that support advanced analytics and future growth.

  • Establishing Data Engineering Standards

    Highlight your approach to setting best practices and ensuring data quality, security, and reliability in new architectures.

  • Optimizing Data Solutions for Advanced Analytics

    Explain how you have enabled predictive modeling, forecasting, or AI-driven insights through your engineering decisions.

  • Collaboration in High-Visibility Projects

    Prepare examples of working with cross-functional teams or stakeholders during major transformation initiatives.

What to research

, 4 items

  • Microsoft Fabric Architecture and Migration Tools

    Review the core components of Microsoft Fabric, migration strategies, and best practices for moving on-premise data to Fabric.

  • Modern Data Pipeline Design Patterns

    Refresh your knowledge of scalable, robust pipeline architectures and optimization techniques relevant to cloud data platforms.

  • Data Quality, Governance, and Security in Cloud Platforms

    Prepare to discuss frameworks and tools for ensuring data integrity, compliance, and security during large-scale transformations.

  • Advanced Analytics Enablement

    Be ready to explain how your engineering work has supported predictive analytics, forecasting, or AI initiatives.

Questions to ask

, 6 items
  1. What are the main challenges the team has faced so far in the Microsoft Fabric migration?

    Why ask this? To understand current pain points and where your expertise can add value.

  2. How is success measured for the data transformation program?

    Why ask this? To clarify expectations and key performance indicators for your role.

  3. What level of autonomy and influence will I have over architectural decisions?

    Why ask this? To gauge your ability to shape the platform and standards.

  4. How does the team collaborate with business stakeholders during the migration?

    Why ask this? To assess cross-functional communication and alignment.

  5. What are the next major milestones in the data platform evolution?

    Why ask this? To understand the roadmap and upcoming priorities.

  6. Are there opportunities to contribute to advanced analytics or AI initiatives beyond the migration?

    Why ask this? To explore how your work can impact future innovation.

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Apply NowApply before: 9 Oct 2026