Data Engineer

The Information Lab Ireland; Dublin; Hybrid; EUR 60,000 - 65,000; Full time

Benefits offered by this job

25 days annual leave

Pension and healthcare

Learning and development days

Flexible working arrangements

Team-building days

Job summary

The Information Lab Ireland is seeking a Senior Data Engineer to design and deliver production-ready data solutions for clients. You will lead data engineering workstreams, translate business requirements into robust Fabric-based architectures, and deliver end-to-end data solutions with strong data governance.

You will work directly with clients to clarify requirements, present progress and ensure delivery quality, while mentoring small delivery teams and shaping best-practice standards.

Qualifications

• Five years’ professional Data Engineer experience.
• Hands-on with Microsoft Fabric (Lakehouse, Data Pipelines, Warehouses, Notebooks).
• Strong SQL, Python and PySpark skills.

Responsibilities

• Lead technical delivery of data engineering workstreams from design to deployment.
• Build end-to-end data solutions in Fabric including schema and data lineage.
• Create source-to-target mappings and maintain documentation.

Skills

SQL

Python

PySpark

Power BI

Git

CI/CD

Data modelling

Azure Fabric

Education

Bachelor’s degree

Master’s degree

Tools

Fabric MCP Server

Purview

Great Expectations

Databricks

Azure Synapse

Job description

The Information Lab Ireland

• 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.

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 [e-mail]