Senior Data Engineer - Contract

Morgan McKinley; Cork; Hybrid; EUR 111,000 - 166,000; Full time

Job summary

Morgan McKinley is seeking a Senior Data Engineer for a 6-month Cork-based hybrid contract. You will design and build data pipelines in Microsoft Fabric, integrate ServiceNow data, and develop reusable data products for reporting and analytics.

Key responsibilities include creating Fabric Lakehouses/Warehouses, implementing data governance, and collaborating with stakeholders to deliver scalable solutions. Strong SQL/Python and Databricks/Azure skills are required.

Qualifications

• Hands-on experience with Microsoft Fabric and data engineering.
• Proven ability to build data products and data pipelines.
• Experience integrating ServiceNow data via APIs/connectors.
• Strong SQL and Python/PySpark skills.
• Experience with Lakehouse, Warehouse and Data Factory components.
• Knowledge of REST APIs and data integration in enterprise environments.
• Understanding of data modelling and governance.

Responsibilities

• Design and develop data pipelines within Microsoft Fabric.
• Integrate, extract and transform ServiceNow data using APIs and connectors.
• Build and maintain Fabric Lakehouses, Warehouses and data models.
• Develop reusable data products to support reporting and analytics.
• Implement data quality, validation and governance processes.
• Collaborate with technical teams and stakeholders to deliver scalable data solutions.

Skills

Microsoft Fabric

Data pipelines

ServiceNow data

SQL

Python/PySpark

Lakehouse/Warehouse/Data Factory

REST APIs

Data modelling

Data governance

Tools

Azure Data Factory

Databricks

Azure Data Lake

Job description

Senior Data Engineer

6-Month Contract | Cork (Hybrid) | Daily Rate

The Opportunity

On behalf of my client I'm seeking an experienced Microsoft Fabric Data Engineer for a 6-month contract to support the development of enterprise data products.

This is a hands-on role requiring strong data engineering skills, experience building data pipelines and the ability to transform raw operational data into structured, reusable data products.

Key Responsibilities

• Design and develop data pipelines within Microsoft Fabric.

• Integrate, extract and transform ServiceNow data using APIs and connectors.

• Build and maintain Fabric Lakehouses, Warehouses and data models.

• Develop reusable data products to support reporting and analytics.

• Implement data quality, validation and governance processes.

• Work with technical teams and stakeholders to deliver scalable data solutions.

Required Skills & Experience

• Strong hands-on experience with Microsoft Fabric.

• Proven experience building data products and data pipelines.

• Previous experience integrating ServiceNow data.

• Strong SQL skills and experience with Python/PySpark.

• Experience with Lakehouse, Warehouse and Data Factory components.

• Knowledge of REST APIs and enterprise data integration.

• Understanding of data modelling and data governance.

Desirable

• Experience with ServiceNow ITSM, CMDB or asset management data.

• Azure Data Factory, Databricks or Azure Data Lake experience.

• Power BI and enterprise analytics experience.