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

Data Engineer contract role in Dublin, focused on migrating on-premise data to Microsoft Fabric and building a modern data platform. Key responsibilities include owning Fabric architecture, developing scalable data pipelines, and enabling advanced analytics. Opportunity to join a major transformation at a pivotal stage.

  • 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 Senior 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 – Daily rate up to €500

  • Long term contract with potential extension

  • Microsoft Fabric migration and modern data engineering

  • Fabric, Azure, Data Engineering, DevOps

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 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:

    • 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 Senior 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 a contract Data Engineer position focused on leading the migration of on-premise data systems to Microsoft Fabric, building robust data pipelines, and shaping a modern data platform for a major transportation organisation in Dublin.

  • Microsoft Fabric hands-on expertise·High
  • Data pipeline migration experience·High
  • Data platform architecture·Medium
  • Engineering standards leadership·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 and Azure Migration Strategies

    0–10 min

    Study recent documentation and case studies on migrating data estates to Microsoft Fabric, focusing on architecture and tooling.

  2. Prepare Examples of Data Pipeline Projects

    10–17 min

    Select 1-2 detailed examples where you designed or migrated robust data pipelines, highlighting challenges and outcomes.

  3. Refresh Data Engineering Best Practices

    17–22 min

    Review your approach to standards, governance, and DevOps in data engineering, ready to discuss specific contributions.

  4. Research the Organisation’s Industry Context

    22–27 min

    Familiarise yourself with data challenges in transportation and how modern data platforms can address them.

  5. Prepare Targeted Questions for the Interviewer

    27–30 min

    Draft 3-4 questions based on the project, team, and technology environment to demonstrate your engagement.

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

  • Microsoft Fabric Migration Experience

    You will need to demonstrate hands-on experience migrating data estates to Microsoft Fabric, including challenges faced and solutions implemented.

  • Designing and Optimising Data Pipelines

    The role requires building robust, scalable, and well-controlled data pipelines; be ready to discuss your approach and examples from past projects.

  • Establishing Data Engineering Standards

    You are expected to own engineering standards and best practices, so prepare to explain how you have set or improved standards in previous roles.

  • Modern Data Platform Evolution

    The position involves shaping a platform for advanced analytics; discuss your experience with platform evolution and enabling predictive analytics.

  • Data Ingestion and Pipeline Migration

    You will be responsible for migrating data pipelines from on-premise to Fabric, so be ready to detail your migration strategies and lessons learned.

What to research

, 4 items

  • Microsoft Fabric Architecture and Migration Tools

    Review the core components of Microsoft Fabric, migration strategies, and relevant Azure services.

  • Data Pipeline Design Patterns

    Refresh your knowledge of robust and scalable pipeline architectures, especially within Azure environments.

  • Modern Data Platform Capabilities

    Understand features that enable predictive analytics and advanced data consumption.

  • Data Engineering Best Practices

    Be ready to discuss standards, governance, and DevOps practices relevant to data engineering.

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 the current pain points and where your expertise can add value.

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

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

  3. What is the current team structure and how does this role interact with other technical and business teams?

    Why ask this? To gauge collaboration and communication expectations.

  4. Are there established engineering standards and best practices, or is this role expected to define them?

    Why ask this? To determine your level of influence and responsibility in setting standards.

  5. What tools and technologies are currently used alongside Microsoft Fabric and Azure?

    Why ask this? To assess the technical environment and identify any learning needs.

  6. What opportunities exist for extending the contract or contributing to future data initiatives?

    Why ask this? To understand long-term prospects and potential for ongoing impact.

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Apply NowApply before: 8 Oct 2026