Data Engineer

The Information Lab; Dublin; Hybrid; EUR 60.000 - 65.000; Vollzeit

Benefits dieser Stelle

Competitive salary

25 days annual leave

Pension and healthcare

Dedicated learning and development

Flexible working arrangements

Team-building days

Zusammenfassung

The Information Lab Ireland is seeking an experienced Senior Data Engineer to design and deliver robust data solutions for clients. You will own delivery from conception to deployment and lead small delivery teams, while collaborating with clients to translate requirements into scalable Fabric-based architectures.

You'll build end-to-end pipelines, ensure data quality and governance, and design dimensional models and Power BI semantics to support client insights.

Qualifikationen

• Five+ years designing, building and delivering production data solutions.
• Hands-on with Microsoft Fabric: Lakehouse, Data Pipelines, Warehouses and Notebooks.
• Strong SQL, Python and PySpark for ingestion, transformation and analysis.
• Experience in medallion architecture and dimensional modelling (Kimball).
• Experience delivering Power BI semantic models and client-facing work.

Aufgaben

• Own technical delivery of data engineering workstreams from design to deployment.
• Lead small delivery teams, review code and maintain delivery standards.
• Create source-to-target mappings and maintain data lineage and docs.
• Design end-to-end Fabric solutions and implement data quality controls.
• Work directly with clients to clarify requirements and explain technical decisions.

Kenntnisse

SQL

Python

PySpark

Data pipelines

Dimensional modelling

Ausbildung

Bachelor's or Master’s degree

Tools

Git integration

CI/CD

Microsoft Fabric

Purview

Great Expectations

Power BI

Jobbeschreibung

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]