We are looking for a skilled Data Engineer with strong hands‐on experience in Snowflake and dbt to join our growing data team. The ideal candidate will have experience working in modern data platforms and analytics engineering environments, enabling a quick ramp‐up into the role. Key Responsibilities Design, build, and maintain scalable and reliable data pipelines Work extensively with Snowflake, including: Warehouse management Query optimization Data modelling Develop and manage transformation workflows using dbt (Core & Cloud) Implement: Incremental models Macros Testing frameworks in dbt Write efficient and complex SQL queries for data transformation Use Python for data engineering tasks, including: Snowflake stored procedures Airflow DAG development Work with AWS services such as: Airflow S3 Glue Firehose Apply dimensional modelling techniques (star/snowflake schema) Collaborate with data analysts, product teams, and stakeholders Required Skills & Experience Strong hands‐on experience with Snowflake Experience with dbt (Core & Cloud) Advanced proficiency in SQL Experience in Python for data engineering and pipeline scripting Hands‐on experience with AWS ecosystem (Airflow, S3, Glue, Firehose) Solid understanding of dimensional modelling concepts Experience in a Data Engineering or Analytics Engineering role We offer Competitive salary Annual bonus, subject to company performance Access to Udemy online training and opportunities to learn and grow within the role #J-18808-Ljbffr