Senior Data Engineer

Archer · Recruitment agency
Contract•Data engineering•€600/day (EUR)•Dublin, Ireland
Apply Now

TechJobs.ie Job Insights

At a glance

Employment type
Contract
Workplace
On-site
Day rate
€600/day (EUR)

Technologies & skills

Primary technologies

PHP

Cloud & infrastructure

Azure

What you'll be doing

Senior Data Engineer (contract) needed on-site in Dublin for a major data transformation, migrating on-premise data to Microsoft Fabric and building a modern data platform. Key role in shaping architecture, engineering standards, and enabling advanced analytics for a leading transportation organisation.

  • Design, build and optimise data pipelines and data solutions using Microsoft Fabric
  • Own the migration of on-premise data and legacy ETL processes into Fabric
  • Develop robust, scalable and well-controlled data pipelines
  • 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

Check your CV against this job

Get a certified technical review aimed at this role.

Start a review

Full job description

Senior Data Engineer – Daily rate up to €600

  • 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 Senior Data Engineer with strong Microsoft Fabric and modern data engineering 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

  • You Will:

    • Design, build and optimise data pipelines and data solutions using Microsoft Fabric

  • Own the migration of on-premise data and legacy ETL processes into Fabric

  • Develop robust, scalable and well-controlled data pipelines

  • 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 [email protected]

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 a Senior Data Engineer to lead the migration of on-premise data and legacy ETL processes to Microsoft Fabric, shaping a modern data platform for a major Irish transportation organisation.

  • Microsoft Fabric hands-on expertise·Medium
  • Data pipeline architecture and optimisation·High
  • Migration of legacy ETL processes·High
  • Data platform enablement for analytics·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 architectural patterns for Microsoft Fabric relevant to data engineering.

  2. Prepare Migration Case Studies

    8–15 min

    Select 1-2 detailed examples from your experience migrating data or ETL processes to modern platforms, focusing on challenges and outcomes.

  3. Refresh Data Engineering Best Practices

    15–20 min

    Review your approach to building scalable, robust, and well-controlled data pipelines, including automation and monitoring.

  4. Connect Data Engineering to Analytics Enablement

    20–25 min

    Prepare to discuss how your work has enabled advanced analytics, predictive modelling, or business intelligence in previous roles.

  5. Draft Role-Specific Questions

    25–30 min

    Write down thoughtful questions about the migration project, team structure, and technical environment to ask during the interview.

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 and ETL processes 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 previous 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 past roles.

  • Enabling Advanced Analytics

    The platform is intended to support predictive modelling and forecasting; discuss how your data engineering work has enabled analytics and data science teams.

  • Managing Data Platform Evolution

    You will help shape the evolution of the data platform; be ready to talk about your experience with platform modernisation and technology adoption.

What to research

, 4 items

  • Microsoft Fabric Architecture and Capabilities

    Review the core components, migration tools, and best practices for Microsoft Fabric, especially as they relate to data engineering.

  • Modern Data Engineering Patterns

    Refresh your knowledge of current data pipeline architectures, orchestration, and automation relevant to large-scale migrations.

  • Legacy ETL Migration Strategies

    Prepare examples and approaches for assessing, planning, and executing migrations from on-premise or legacy ETL systems to cloud-based platforms.

  • Data Platform Enablement for Analytics

    Understand how to design data platforms that support advanced analytics, predictive modelling, and business intelligence.

Questions to ask

, 6 items
  1. What is the current state of the data migration, and which business domains are next in line?

    Why ask this? To understand the project timeline and where your expertise will be most impactful.

  2. How is success measured for the migration to Microsoft Fabric?

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

  3. What are the main challenges the team has faced so far in the transformation programme?

    Why ask this? To identify potential obstacles and how you can contribute solutions.

  4. How is collaboration structured between data engineering, analytics, and business teams?

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

  5. What opportunities exist to influence data engineering standards and best practices?

    Why ask this? To gauge your ability to shape technical direction and processes.

  6. What tools and processes are currently in place for CI/CD and data pipeline monitoring?

    Why ask this? To understand the technical environment and where improvements may be needed.

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: 8 Oct 2026