Data Modeler, Basildon

We are seeking a talented and experienced Data Warehouse Modeler and Engineer DBT Snowflake to join the Data Solutions domain in EMEA.

About the Role

As a key contributor you will be responsible for designing and implementing end-to-end data integration and transformation solutions on Snowflake. This role combines ETL/E LT design, data mapping, data modelling, and hands-on data engineering using dbt.

Responsibilities

• Design and implement ETL/E LT pipelines for data ingestion, transformation, and consolidation.
• Perform data mapping from source systems to target Snowflake structures.
• Design and maintain conceptual, logical, and physical data models, staging, integration marts.
• Develop, test, and maintain dbt models following best practices.
• Optimize Snowflake performance, query design, materializations, clustering.
• Ensure data quality, consistency, lineage, and documentation.
• Collaborate with engineering, analytics, and platform teams to align on data patterns and standards.

Qualifications

• Bachelors or Master’s degree in Computer Science, Data Engineering, or a related technical field.
• Hands on years of experience in a similar role within a fast-paced enterprise scale environment.

Required Skills

• Strong proficiency in SQL and hands-on experience with DBT Core or Cloud or any other traditional ETL Tools (ODI, Informatica, Talend, SSIS, etc.).
• SQL data modelling, Kimball, Inmon, Data Vault concepts, ETL, ELT design, and data mapping.
• Data quality governance and performance optimization.
• A solid understanding of end-to-end data ingestion and transformation processes.
• AWS data stack (S3, Glue, EMR, PySpark, Iceberg - nice to have).

Preferred Skills

• Demonstrated commitment, ownership, and accountability.
• Strong attention to detail with a proactive approach to identifying and resolving problems.
• A genuine interest in emerging data technologies and a curiosity about continuous improvements.
• Excellent verbal and written communication skills.