Azure Data Engineer

Archer · Recruitment agency
Contract•Data engineering•€500/day (EUR)•Dublin, Ireland
Apply Now

TechJobs.ie Job Insights

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

Azure Data Engineer contract role in Dublin, focused on migrating on-premise data to Microsoft Fabric and building a modern data platform for a major transportation organisation. Key responsibilities include owning Fabric architecture, data ingestion, and pipeline migration, with an emphasis on advanced analytics enablement.

  • 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, data migration, architecture
Architecture / system design
Indicated in the listing
Hands-on vs management
Hands-on

Check your CV against this job

Get a certified technical review aimed at this role.

Start a review

Full job description

Azure 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 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:

    • 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 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. The position emphasizes hands-on data engineering, pipeline development, and ownership of Fabric architecture and best practices.

  • Microsoft Fabric hands-on expertise·High
  • Data pipeline migration experience·High
  • Data engineering best practices·High
  • Platform architecture ownership·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

    0–8 min

    Study the latest Microsoft Fabric features, migration tools, and architecture patterns relevant to large-scale data migrations.

  2. Prepare Migration Project Examples

    8–15 min

    Select and outline 1-2 detailed examples of data migration or pipeline modernization projects you have led or contributed to.

  3. Refresh Data Engineering Best Practices

    15–21 min

    Review current best practices for data pipeline design, data quality, and platform scalability, especially in cloud environments.

  4. Draft Questions for the Interviewer

    21–26 min

    Prepare thoughtful questions about the migration project, team structure, and future platform evolution.

  5. Practice STAR Responses

    26–30 min

    Rehearse structured answers to likely scenario-based questions using the STAR method.

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

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

  • Designing Robust and Scalable Data Pipelines

    Demonstrating your ability to build and optimize data pipelines is central to the role; be ready to discuss your approach to scalability, reliability, and control.

  • Establishing Data Engineering Standards

    The role involves owning engineering standards and best practices; prepare to explain how you have set or improved standards in previous teams.

  • Enabling Advanced Analytics and Predictive Modelling

    The new platform is intended to support advanced analytics; discuss how your data engineering work has enabled analytics, forecasting, or machine learning in past projects.

  • Optimizing Data Solutions for Business Impact

    You will shape solutions that impact business delivery; be ready to share examples where your engineering decisions improved business outcomes.

What to research

, 4 items

  • Microsoft Fabric Architecture and Migration Tools

    Review the architecture, features, and migration tools available in Microsoft Fabric, focusing on data ingestion and pipeline migration.

  • Modern Data Engineering Best Practices

    Refresh your knowledge of current best practices in data pipeline design, data quality, and platform scalability.

  • Advanced Analytics Enablement

    Understand how data platforms can be structured to support predictive modelling and advanced analytics, including integration points with analytics teams.

  • Data Governance and Control Mechanisms

    Prepare to discuss methods for ensuring data quality, control, and reconciliation in large-scale data environments.

Questions to ask

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

    Why ask this? To understand the organization's expectations and potential obstacles.

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

    Why ask this? To clarify key performance indicators and project goals.

  3. What is the current state of the data estate and which business domains are next for migration?

    Why ask this? To gauge the project's maturity and upcoming priorities.

  4. How does the team collaborate with analytics or data science functions?

    Why ask this? To understand cross-functional workflows and expectations.

  5. What level of autonomy will I have in defining engineering standards and best practices?

    Why ask this? To assess your influence on technical direction.

  6. Are there opportunities to contribute to the evolution of the platform beyond migration, such as in advanced analytics enablement?

    Why ask this? To explore long-term impact and growth opportunities.

Register now to upload your CV

Create a free account, save a PDF or Word CV, and quick apply on roles that take applications here.

Sign inRegister now
Apply NowApply before: 9 Oct 2026