Analytics Engineer – DBT / SnowflakeAbout UsOur client is a leading financial services organisation in Ireland, currently undergoing a major data transformation programme. They are moving from legacy, on-premise infrastructure to a modern cloud data platform, enabling faster insights, improved reporting, and stronger data-driven decision making across the business.The RoleWe're looking for anAnalytics Engineerto support the migration and rebuilding of BI datasets in a Snowflake environment. You will play a key role in transforming, reconciling, and preparing datasets for end users, ensuring high-quality insights through Power BI. This role is ideal for someone who wants to shape next-generation data workflows, work with modern cloud technologies, and influence how data is delivered across the organisation.Key Responsibilities:Transform and standardise BI datasets from Snowflake fact and dimension tables.Build high-quality, business-ready datasets for use in Power BI.Manage data refresh schedules, alerts, and automated reporting processes.Ensure data quality through reconciliation, testing, and robust data controls.Collaborate with business teams to define datasets and build effective visualisations.Maintain clear documentation of data workflows, transformations, and models.Work closely with BI developers, analysts, and stakeholders to gather requirements.Support migration from legacy SQL Server datasets to Snowflake.Provide technical guidance on data engineering best practices and Snowflake features.About You:Strong SQL skills with experience querying and optimising data in Snowflake.Proficiency in dbt for transformation and orchestration.Experience developing reports and data models in Power BI .Familiarity with SSIS for supporting dataset migration from SQL Server.Experience with Python or R for automation and data manipulation.Knowledge of GitHub or similar version control tools.Experience working with cloud platforms such as Azure.Excellent communication skills and ability to work with technical and non-technical teams.Strong analytical mindset, attention to detail, and commitment to data quality.Highly organised, adaptable, and comfortable working in a fast-paced, evolving environment.Why Join?Join a leading FS client that is modernising its entire data ecosystem. This is an exciting opportunity to work with cutting-edge cloud technologies, influence data strategy, and play a critical role in delivering high-quality insights across the business.Location:Dublin (Hybrid)Employment Type:Full-time, Permanent