Senior Data Engineer - Cloud Data Warehousing & Analytics

Auxilion; Dublin; Presencial; EUR 90.000 - 120.000; Jornada completa

Descripción de la vacante

Auxilion is seeking a seasoned Data Engineer to develop cloud data management solutions for diverse clients in Dublin. You’ll design scalable ETL pipelines using Microsoft Fabric and Synapse, build data models, and produce Power BI insights to support decision making.

The role emphasizes data warehousing, integration, governance, and collaboration with analysts and data scientists. Strong SQL, Python, and Azure experience are essential.

Formación

• 5-7 years of data engineering experience with Microsoft data technologies.
• Hands-on data warehousing, transformation and modelling expertise.
• Experience with Azure data services and data governance basics.

Responsabilidades

• Design, develop, and maintain scalable data pipelines and ETL processes using Microsoft Fabric.
• Implement and manage data integration solutions for seamless data flow across systems.
• Develop and optimize data models for efficient storage, integration, and retrieval.
• Create and maintain Power BI reports and dashboards for stakeholders.
• Collaborate with data scientists and analysts to translate requirements into solutions.
• Ensure data quality, integrity, and security across data platforms.
• Monitor and troubleshoot data pipelines to ensure high availability and performance.

Conocimientos

Data Engineering

Data Modelling

Microsoft Fabric

Synapse Analytics

dbt

SQL Server

SQL

Azure Data Factory

Power BI

Python

Educación

Bachelor's degree in Computer Science/Information Technology or related field

Master’s degree or relevant technical certifications desirable

Herramientas

Purview

Descripción del empleo

Auxilion is seeking a seasoned Data Engineer to develop cloud data management solutions for diverse clients in Dublin. You’ll design scalable ETL pipelines using Microsoft Fabric and Synapse, build data models, and produce Power BI insights to support decision making.

The role emphasizes data warehousing, integration, governance, and collaboration with analysts and data scientists. Strong SQL, Python, and Azure experience are essential.