About the job We're looking for a Senior Data Engineer to join a major data and analytics initiative, delivering high-quality, scalable solutions across the organisation. You'll play a key role in designing and building robust ETL pipelines and working with modern cloud-based data technologies to support data-driven decision-making. Tech Stack: Snowflake - Cloud data warehouse Python - Scripting and data engineering Apache Airflow - Workflow orchestration Key Responsibilities: Develop and maintain ETL pipelines to support data ingestion, transformation, and loading from a variety of sources Collaborate with analysts, data scientists, and stakeholders to understand data requirements Build well-structured, reusable, and performant data models Schedule and monitor workflows using Apache Airflow Optimise Snowflake performance and manage data pipelines in a secure, efficient manner About You: Strong experience as a Data Engineer working on large-scale data and analytics projects Proven technical expertise in Snowflake , Python , and Apache Airflow Deep understanding of ETL best practices and data pipeline architecture Ability to work independently and communicate effectively with cross-functional teams Familiarity with data governance and quality standards Desirable: Experience with CI/CD in a data environment Exposure to dbt, Terraform, or other modern data tools