Data Warehouse Modeler Engineer

Job Overview

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

As a key contributor you will be responsible for designing and implementing endtoend data integration and transformation solutions on Snowflake

This role combines ETL ELT design data mapping data modeling and handson data engineering using dbt

Key Responsibilities

Design and implement ETL ELT 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

Technical Qualifications

Bachelors or Masters degree in Computer Science Data Engineering or a related technical field

7 years of experience in a similar role within a fastpaced enterprisescale environment

Strong proficiency in SQL and handson experience with DBT Core or Cloud or any other traditional ETL Tools ODI Informatica Talend

SSIS etc

Snowflake data engineering

SQL data modeling Kimball Inmon Data Vault concepts ETL ELT design and data mapping

Data quality governance and performance optimization

A solid understanding of endtoend data ingestion and transformation processes

AWS data stack S3 Glue EMRPySpark Iceberg nice to have

NonTechnical 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

AI Empowered Experience