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# Data Engineer (Snowflake, DBT, AWS)

- **Company:** Red Commerce Ltd
- **Location:** Basildon, UK
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Cloud Computing, Software Documentation, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Mapping, Data Transformation, Data Systems, Data Warehousing, Database Development, Dimensional Modeling, Performance Tuning, SQL Server Integration Services, Talend, Data Ingestion, Snowflake, Pyspark, Data Pipelines
- **Published:** August 20, 2026
- **Apply:** https://www.totaljobs.com/job/data-engineer-aws/red-commerce-job107877479

## About the Role

* 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.

## Description

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.


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