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A leading technology company in the UK is looking for a skilled Snowflake Data Engineer to design and optimize data pipelines across AWS, Azure, and GCP. The role requires strong expertise in Snowflake, SQL, and ETL tools. You will collaborate with data analysts and business teams to deliver reliable data solutions and ensure data quality and compliance standards are met. Familiarity with Python and cloud certifications is a plus. This position offers an exciting opportunity for innovation and growth in the pharmaceutical sector.
Project description
The project is for one of the world's famous science and technology companies in pharmaceutical industry, supporting initiatives in AWS, AI and data engineering, with plans to launch over 20 additional initiatives in the future. Modernizing the data infrastructure through the transition to Snowflake as a priority, as it will enhance capabilities for implementing advanced AI solutions and unlock numerous opportunities for innovation and growth. We are seeking a highly skilled Snowflake Data Engineer to design, build, and optimize scalable data pipelines and cloud-based solutions across AWS, Azure, and GCP. The ideal candidate will have strong expertise in Snowflake, ETL Tools like DBT, Python, visualization tools like Tableau and modern CI/CD practices, with a deep understanding of data governance, security, and role-based access control (RBAC). Knowledge of data modeling methodologies (OLTP, OLAP, Data Vault 2.0), data quality frameworks, Stream lit application development and SAP integration and infrastructure-as-code with Terraform is essential. Experience working with different file formats such as JSON, Parquet, CSV, and XML is highly valued.