Opportunity Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list. Find me work
dataroles

Data Engineer

The Information Lab Open · verified Oct 24, 2026
Ireland Full-time Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at The Information Lab. Ireland · full-time · €60,000–€65,000 base.

SalaryStated by The Information Lab
€60,000 – €65,000
Base salary for this role, in EUR per year, as published in the posting.
RoleData Engineering
SeniorityMid-level
LocationIreland
EmploymentFull-time
Base pay€60,000–€65,000
PostedOct 20, 2026 · 4d ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Lead client project work from requirements and solution design through implementation, testing, release and documentation
  • Build Fabric solutions across Lakehouse, pipelines, warehouses and notebooks, using SQL, Python and PySpark
  • Set up data quality checks, reconciliations, dimensional models and Power BI semantic models
  • Work with clients to shape requirements and explain technical choices, while coordinating small teams and reviewing their work
  • Use Git and CI/CD practices, maintain governance and lineage, and flag delivery risks early

What you bring

  • At least five years of professional data engineering experience delivering production-ready solutions
  • Hands-on delivery experience with Microsoft Fabric, including Lakehouse, pipelines, warehouses and notebooks
  • Strong SQL, Python and PySpark skills, plus experience building end-to-end pipelines with medallion architecture
  • Experience with dimensional modelling, Power BI semantic models, Git-based version control and CI/CD for data work

Who this fits

This is a senior, hands-on client delivery role suited to someone comfortable owning technical work and coordinating a small team. The role is based in Ireland and offers flexible working arrangements.

From the employer

  • Salary €60,000 - €65,000

  • Flexible working arrangements

About The Information Lab:

The Information Lab is a leading data and ai consultancy specialising in innovative, data-driven solutions that help organisations improve performance, strengthen decision-making and drive growth. We partner with clients across industries to harness data through analytics, AI and cloud technologies.

Role Overview:

We are looking for an experienced Senior Data Engineer to design and deliver high-quality data solutions for our clients. This is a senior, hands-on position requiring a minimum of five years’ professional experience working as a Data Engineer, together with practical experience delivering solutions using Microsoft Fabric.


Reporting to a Senior Manager, you will lead the day-to-day technical execution of client projects, ensure delivery quality and coordinate small project teams. You will work directly with clients to translate business requirements into robust, scalable and well-governed data solutions.

Key Responsibilities

  • Leverage AI-driven code development using Github Copilot, VS Code and the Fabric MCP Server
  • Own the technical delivery of data engineering workstreams, from requirements and solution design through to build, testing, deployment and documentation.
  • Design and build end-to-end solutions in Microsoft Fabric, including Lakehouse, Data Pipelines, Warehouses and Notebooks.
  • Develop and manage data pipelines across Bronze, Silver and Gold layers using SQL, Python and PySpark.
  • Create source-to-target mappings and maintain clear data lineage, metadata and technical documentation using Fabric and Purview
  • Design for schema evolution, security, workspace governance and operational support.
  • Build reconciliation reporting and implement data quality controls and testing frameworks, including tools such as Great Expectations where appropriate.
  • Apply Git-based version control and CI/CD practices to support reliable, repeatable deployments.
  • Design dimensional data models using Kimball principles and build robust Power BI semantic models.
  • Work directly with clients to clarify requirements, explain technical decisions, present progress and incorporate feedback.
  • Lead small delivery teams by coordinating activities, delegating tasks, reviewing code and maintaining delivery standards.
  • Identify delivery risks and technical challenges early, resolving or escalating them as appropriate.
  • Contribute to pre-sales discussions, solution shaping, internal standards and knowledge sharing.


Qualifications & Experience

  • A minimum of five years’ professional experience working as a Data Engineer, with responsibility for designing, building and delivering production-ready data solutions.
  • Demonstrable hands-on experience delivering data engineering solutions using Microsoft Fabric. Experience with Fabric Lakehouse, Data Pipelines, Warehouses and Notebooks is required.
  • Strong SQL, Python and PySpark skills for data ingestion, transformation and analysis.
  • Experience developing end-to-end data pipelines and implementing medallion architecture.
  • Strong knowledge of dimensional data modelling, including Kimball standards.
  • Experience designing and building Power BI semantic models.
  • Practical experience with Git integration, version control and CI/CD pipelines for data projects.
  • Experience implementing data quality frameworks, reconciliation processes and testing methodologies.
  • Ability to produce clear solution designs, source-to-target mappings and technical documentation.
  • Confidence working directly with clients on requirements, technical decisions and delivery matters.
  • Experience reviewing technical outputs and coordinating the work of other delivery team members.
  • Excellent attention to detail, problem-solving and organisational skills.

Desirable Experience

  • Experience with Databricks, Azure Synapse or other Azure data services alongside Microsoft Fabric.
  • Previous consulting or client-delivery experience.
  • Relevant Microsoft certifications, particularly DP-700 or DP-600. DP-203 is also valued.
  • A bachelor’s or master’s degree in a relevant discipline.


Key Performance Indicators (KPIs)

  • Accurate, complete and technically sound deliverables.
  • Delivery against agreed milestones and project commitments.
  • Positive client feedback on technical execution, communication and solution reliability.
  • Client renewal and commercial growth
  • High standards of code quality, governance, version control and documentation.
  • Effective coordination and support of project team members.
  • Continued development of Microsoft Fabric expertise and relevant certifications.
  • Contribution to pre-sales activity and identification of further value for existing clients.

What we offer:

  • Competitive salary.
  • 25 days’ annual leave per year.
  • Pension and healthcare, subject to successful completion of the probationary period.
  • Dedicated learning and development days.
  • Flexible working arrangements.
  • Team-building days and a collaborative team culture.
For more information, please contact careers@theinformationlab.ie
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering€60k+

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.