Data Engineer (Snowflake, DBT, AWS)

We are looking for an experienced Data Engineer to join a major data transformation programme within a leading enterprise organisation. This role will focus on building and optimising scalable data pipelines, data warehouse solutions, and cloud-based analytics platforms using Snowflake, DBT, and AWS. Key Responsibilities

• Design, build, and maintain ETL/ELT pipelines for enterprise-scale data integration.
• Develop and enhance DBT models following engineering best practices.
• Implement data ingestion and transformation solutions within Snowflake.
• Perform data mapping and transformation from source systems into target data models.
• Ensure data quality, lineage, governance, and documentation standards are maintained.
• Optimise Snowflake performance, queries, materialisations, and data models.
• Collaborate with architects, analysts, and engineering teams to deliver high-quality data solutions.

• Strong hands-on experience with Snowflake and DBT.
• Extensive SQL development and performance tuning expertise.
• Experience building and supporting ETL/ELT frameworks.
• Strong understanding of data warehousing concepts and dimensional modelling.
• AWS experience, including services such as S3, Glue, EMR, or PySpark.
• Knowledge of data governance, quality controls, and testing practices.
• Experience working within large-scale enterprise environments.

Desirable

• Knowledge of Iceberg or modern data lakehouse architectures.
• Experience with traditional ETL tools such as Informatica, ODI, Talend, or SSIS.
• Exposure to AI-enabled data engineering practices.