Senior Data Engineer – Fabric Lakehouse & AI Pipelines

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

Benefits offered by this job

Competitive salary

25 days annual leave

Pension and healthcare

Dedicated learning and development

Flexible working arrangements

Team-building days

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

SQL

Python

PySpark

Data pipelines

Dimensional modelling

Education

Bachelor's or Master’s degree

Tools

Git integration

CI/CD

Microsoft Fabric

Purview

Great Expectations

Power BI

Job description

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.