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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.
Working within Auxilion’s Business Enablement Solutions Practice, Data Engineers will be responsible for developing cloud data management solutions for Auxilion’s customers in multiple industries.
Data Engineering (5-7 yrs), Data Modelling (2-3 yrs), Microsoft Fabric (1-2 yrs), Synapse Analytics (5-7yrs), dbt (2-3 yrs), MS SQL Server (5-7 yrs), SQL (5-7 yrs), Azure Data Factory (5-7 yrs), Power BI (3-4 yrs), Python (2-3 yrs)
As a Data Engineer with expertise in Data Warehousing & Data Transformation, you will bring your knowledge of developing large-scale data analytic solutions, and extensive experience with Microsoft platforms. You will be responsible for developing cloud data management solutions for Auxilion’s customers in multiple industries, ensuring that our customers have timely access to high-quality information that enables informed decision making, and integration between core systems.
What will you be doing:
What skills will you have:
Our Company, Auxilion – About Us
Work matters. It’s where we spend a third of our lives. At Auxilion we strive to be a great place to work, with career opportunities and development of people in our DNA. Our competitive advantage is how we support our clients on their journey.
Our people have a passion for their work, our culture and values. Whether your focus is technical, sales, finance or anything in-between, our roles aim to provide each person with meaningful impact and plenty of space to grow.
** Recruitment agencies need not contact us. Any unsolicited CVs submitted without a prior agreement will not be accepted, and no fees will be payable.**