Data & Business Intelligence Engineer Location: Dublin (Hybrid working model) Key Responsibilities Design and deliver robust Data and BI solutions that meet the analytical needs of investment professionals and operational teams Develop and maintain scalable ETL/ELT pipelines and automated reporting frameworks Contribute to technical solution design and architecture within an agile, cross-functional engineering squad Collaborate with portfolio managers, investment operations, and technology stakeholders to define project scope and execution plans Support existing systems and processes while driving continuous improvement in data quality, resilience, and scalability Participate in sprint planning, retrospectives, and ongoing team development initiatives Candidate Profile Experience: Minimum 4 years in a data engineering or business intelligence capacity, ideally within financial services or asset management Strong ETL/ELT development experience (e.g., SSIS, SSAS, Informatica) Solid SQL skills and familiarity with data modeling concepts Experience with Python or C# preferred Exposure to cloud platforms such as AWS or Azure Familiarity with BI and data platforms like Tableau and Dremio is advantageous Agile Mindset: Comfortable working within agile delivery frameworks using tools such as JIRA or ServiceNow Education: Bachelors degree in Computer Science, Engineering, Finance, or related discipline (or equivalent industry experience) Soft Skills: Excellent communication and collaboration skills; ability to navigate ambiguity and thrive in fast-paced environments Skills: Data Engineering Jira C# aws