About this role
Role Purpose: As a Commercial Analytics Data & AI Engineer, you will design, build, and evolve data products that power Commercial Analytics at Opella. You will collaborate with Product Leads, Data Scientists, and business stakeholders to create scalable data solutions that support Sales, Marketing, and Commercial Excellence teams. Responsibilities: Develop and maintain integrations across commercial data sources including SAP, CRM platforms, IQVIA, and external market data. Harmonize commercial master data for consistent reporting. Design and optimize scalable data pipelines using dbt, Snowflake, Databricks, and Azure to support advanced analytics and AI/ML initiatives. Ensure data quality, performance, and reliability while applying DataOps and CI/CD best practices. Requirements: Bachelor’s degree in Computer Science, IT, or a quantitative field. 6-10 years of experience in Data Engineering or Analytics Engineering. Strong proficiency in cloud data ecosystems (dbt, Snowflake, Databricks) and DevOps/DataOps practices. Expertise in building data pipelines and semantic models. Deep understanding of commercial business processes in FMCG or Retail environments. Strong SQL and data modelling skills. Preferred: Enthusiasm for AI/ML and automation, experience with BI tools like Power BI or Tableau, and the ability to architect platforms for machine learning workloads.