We're seeking a Data Engineer to join our team and help build, maintain, and optimise the data pipelines and infrastructure that power our analytics, reporting, and data-driven decision-making. This role offers an exciting growth trajectory from hands-on execution into design and optimisation ownership, perfect for someone passionate about working with data systems, pipelines, and large-scale processing. You'll be responsible for developing ETL/ELT pipelines, ensuring data reliability and accessibility, and integrating data from multiple sources. Working within our modern data warehouse architecture, you'll contribute to scalable data systems while maintaining high data quality and integrity. Your work will directly enable analytics teams, support machine learning workflows, and drive continuous improvement across our data infrastructure. Whether you're coming in at a junior level (0-2 years) or intermediate level (2-4 years), you'll have clear pathways for growth and increasingly complex challenges to tackle. We're looking for strong SQL skills, proficiency in Python or PySpark, and experience with data warehousing platforms like BigQuery, Snowflake, or Redshift. Beyond technical abilities, we value problem-solving mindsets, clear communication, ownership, and a passion for continuous learning. You'll collaborate closely with engineering, product, and analytics teams in an agile environment that emphasises innovation, reliability, and quality. Join us to build robust, well-structured data systems that make a real impact on our business decisions.