The role involves designing, building, and maintaining scalable ingestion pipelines within a Medallion architecture. The engineer will model and transform business data to support operational reporting while ensuring data quality and reliability through automated checks. Responsibilities include implementing governed data access controls to meet privacy compliance obligations and reconciling data between layers to ensure consistent reporting. The position requires documenting data structures and creating operational runbooks to enable internal teams to maintain the platform. Additionally, the role involves collaborating with architects and stakeholders to align designs with enterprise standards and governance requirements.

The role requires at least five years of experience in data engineering within cloud-based analytical environments. Candidates must possess strong hands-on proficiency in SQL and Python, along with experience building scalable data pipelines and transformation workflows. Technical expertise in Azure data services and modern cloud data warehousing platforms like Databricks or Snowflake is necessary. Furthermore, the position requires an understanding of governed data access patterns, data privacy compliance, and Git-based CI/CD workflows. Advanced English proficiency is mandatory for this role.