Job Description
Location: Dublin
Role Type: Full-Time Permanent
Clear Strategy is a fast-growing professional services & solutions organisation, specialising in Data services ranging from
Data Strategy and
Governance, to
Business Intelligence and Advanced Analytics. We also provide a comprehensive range of Project and Programme management and business analyst services.
The culture of our organisation is based on three fundamental values: Innovation, Integrity and Inclusiveness. We place our clients at the core of everything that we do and work closely with them to provide them with the necessary experience and expertise to achieve, and exceed, their business objectives.
We are looking for passionate, determined and talented people to join our growing team in a dynamic and ambitious environment. Our client base is spread across a range of different industries, and as we continue to build our team, you will have opportunities to influence and contribute to a wide variety of very interesting projects.
Your Role
As a Data Engineer you will be responsible for client interaction, technical design and implementation of ETL solutions at client sites. You will develop and implement various Data Warehousing and BI projects, implement best practices from ETL architectural design through guiding our clients on best practices around data ingestion and data management.
The ideal candidate will have practical experience in several Data Warehouse technologies as well as experience using the latest Cloud technologies. We are looking for a self-starter who loves to continually evaluate new technologies, innovate, educate, and collaborate, all to deliver critical services that help our clients succeed.
The role will be Dublin-based and will be a mix of remote working, offsite work at our offices in Dun Laoghaire and onsite work at customer sites in Dublin.
Clear Strategy will provide you with the support ensuring your personal development in helping you to advance your career - from mentoring, on-the-job experience, and further training opportunities.
Professional Qualifications:
A recognised University Degree or equivalent specialising in Data Science, Analytics, Mathematics, Statistics, Computer Science.
