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

What you'll be doing

Data Engineer needed for immediate start to lead a major migration of on-premise data to Microsoft Fabric for a large Irish transportation company. Role involves owning Fabric architecture, engineering standards, and building a modern data platform to support predictive analytics and advanced analytics.

  • Own the data ingestion and pipeline migration from on-premise to Microsoft 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

Data Engineer – Start immediately!

  • 1 stage interview process

  • Microsoft Fabric migration and modern data engineering

  • Daily rate up to €500

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 Data Engineer with strong Microsoft Fabric experience to play a key role in a large-scale data migration and own the transformation programme.

This is an urgent hire, and they are looking for someone who can join immediately and make a significant impact from day one. With the interview process consisting of just one stage, there is a real opportunity to move quickly and start delivering meaningful results immediately.

  • Why You’ll Love It Here:

    • Join an elite team of experts in delivering a major transformation of the organisation’s data estate

  • Own the Fabric architecture, engineering standards and best practices

  • Shape a data platform designed to enable predictive modelling, forecasting and advanced analytics

  • Play a key role in modernising how data is delivered, controlled, reconciled and consumed across the business

  • Daily rate up to €500

  • 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 is for an experienced Data Engineer to lead the migration of an on-premise data estate to Microsoft Fabric, focusing on building a modern, scalable data platform for a major Irish transportation organisation.

  • Microsoft Fabric hands-on expertise·High
  • Data pipeline migration leadership·High
  • Modern data platform architecture·High

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

    0–8 min

    Study the latest features, migration tools, and architecture patterns relevant to Microsoft Fabric.

  2. Prepare Migration Project Examples

    8–15 min

    Select and structure examples of previous data migration or pipeline projects, focusing on challenges and outcomes.

  3. Refresh Data Pipeline Design Knowledge

    15–21 min

    Review best practices for building scalable, reliable data pipelines and controlling data quality.

  4. Research the Organisation’s Industry Context

    21–26 min

    Understand typical data challenges and analytics needs in the transportation sector.

  5. Draft Role-Specific Questions

    26–30 min

    Prepare thoughtful questions about the migration, team, and platform evolution to ask during the interview.

Likely questions

, 5 items

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

Talking points

, 5 items

  • Microsoft Fabric Migration Experience

    You will be expected to lead the migration from on-premise systems to Microsoft Fabric, so prepare examples of similar migrations you have managed or contributed to.

  • Designing Robust and Scalable Data Pipelines

    The role requires developing well-controlled, scalable pipelines; be ready to discuss your approach to pipeline design, error handling, and performance optimisation.

  • Establishing Data Engineering Standards

    You will own engineering standards and best practices, so be prepared to explain how you have set or improved standards in previous roles.

  • Building Modern Data Platforms for Advanced Analytics

    The organisation aims to enable predictive modelling and advanced analytics; discuss your experience building platforms that support these capabilities.

  • Data Ingestion and Pipeline Migration Challenges

    Expect to be asked about challenges in migrating data pipelines and how you ensure data integrity and minimal downtime.

What to research

, 4 items

  • Microsoft Fabric Architecture and Features

    Review the core components, migration tools, and best practices for Microsoft Fabric, as this is central to the role.

  • Modern Data Pipeline Design Patterns

    Refresh your knowledge of scalable, robust pipeline architectures and optimisation strategies.

  • Data Migration Strategies

    Prepare to discuss end-to-end migration planning, risk management, and data validation techniques.

  • Data Platform Enablement for Advanced Analytics

    Understand how to architect data platforms that support predictive modelling and analytics use cases.

Questions to ask

, 6 items
  1. What are the main challenges you anticipate in the migration to Microsoft Fabric?

    Why ask this? To understand the project's complexity and where your expertise will be most valuable.

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

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

  3. What is the current state of the on-premise data estate and what are the key data sources?

    Why ask this? To assess the technical landscape and potential integration challenges.

  4. How does the team collaborate on engineering standards and best practices?

    Why ask this? To gauge the culture around quality and continuous improvement.

  5. What opportunities exist to influence the future direction of the data platform?

    Why ask this? To understand your potential impact and scope for innovation.

  6. Are there any immediate priorities or quick wins expected in the first few weeks?

    Why ask this? To clarify short-term expectations and how you can deliver value quickly.

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Apply NowApply before: 10 Oct 2026