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.
* 7 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.
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