Data Warehouse Modeler

• 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 end-to-end data integration and transformation solutions on Snowflake
• This role combines ETL/ELT design, data mapping, data modeling, and hands-on data engineering using dbt, * 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, and marts
• Develop and maintain dbt models following best practices
• Ensure data quality, consistency, lineage, and documentation
• Collaborate with engineering, analytics, and platform teams to align on data patterns and standards

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related technical field
• 7 or more years of experience in a similar role within a fast-paced, enterprise-scale environment
• Strong proficiency in SQL and hands-on experience with DBT Core or Cloud, or other traditional ETL tools (ODI, Informatica, Talend, SSIS, etc.)
• Experience with SQL data modeling, Kimball, Inmon, Data Vault concepts, ETL/ELT design, and data mapping
• Knowledge of data quality governance and performance optimization
• A solid understanding of end-to-end data ingestion and transformation processes
• Nice to have: AWS data stack experience (S3, Glue, EMR, PySpark, Iceberg)

Non-Technical 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