Analytics Engineer, dbt (Business Intelligence)

About the job You will contribute to the ongoing design of the core data model to support advanced analytics and business intelligence. You will unify business intelligence data engineering and stakeholders to build data sets and models relevant to core businesses. You will engage and collaborate with Finance and Operations to identify reporting needs and improvements. You will ensure high data quality of the core data layer with dbt models using Python and SQL. You will enable analysts across the organisation and streamline dashboard creation. Responsibilities Contribute to the ongoing design of the core data model to support advanced analytics and business intelligence. Unify business intelligence, data engineering and business stakeholders to build out data sets and models relevant to their core businesses. Engage and collaborate with Finance and Operations to identify reporting needs and potential improvements. Ensure high data quality of the core data layer with dbt models with Python and SQL. Enable analysts across the whole organisation and streamline dashboard creation. Requirements Advanced experience with SQL, dbt and Python, hands-on experience with Airflow and BI Tools (Metabase, Tableau or similar) is considered a plus. Strong communication skills and the ability to work, learn and grow across teams and functions. Solid experience with data modelling (dimensional modelling, OBT or star/snowflake schemas), data quality frameworks and data visualisation tools. Around three years of professional analytics engineering and/or business intelligence experience with a passion for FinTech. Bachelor/Master degree in computer science, business informatics, applied mathematics and statistics or similar.