Data Engineer: SAP S/4HANA to Snowflake with DBT Pipelines

GloPros; Amsterdam; Hybrid; EUR 80,000 - 110,000; Full time

Job summary

GloPros is looking for a data platform engineer to deliver end-to-end data pipelines from SAP S/4HANA into Snowflake and develop analytics-ready DBT models for retail data (sales, inventory, assortment, pricing). You will ensure data quality, lineage and governance while collaborating with SAP and platform teams to optimize data structures for downstream use.

You will work across cross-country teams, implementing observable pipelines and providing onboarding materials for new data consumers.

Qualifications

• Experience building pipelines from SAP S/4HANA into cloud data warehouses (Snowflake or equivalent).
• Hands-on Snowflake SQL for modelling and transformations.
• Experience using DBT to manage transformation workflows and testing.
• Understanding of retail data modelling for supply chain, finance, sales.

Responsibilities

• Build end-to-end data pipelines from SAP S/4HANA to Snowflake with reliability and observability.
• Design DBT models and maintenance of transformation logic for analytics-ready tables (retail).
• Implement data quality checks, lineage and basic governance for trustworthiness of data.
• Collaborate with SAP functional owners and platform engineers to optimize data structures for downstream use.
• Provide documented schemas, examples and onboarding for new data consumers.

Skills

SAP S/4HANA pipelines

Snowflake

DBT

Retail data modelling

Data governance & quality

Cross-country collaboration

English proficiency

Tools

Snowflake

DBT

Job description

GloPros is looking for a data platform engineer to deliver end-to-end data pipelines from SAP S/4HANA into Snowflake and develop analytics-ready DBT models for retail data (sales, inventory, assortment, pricing). You will ensure data quality, lineage and governance while collaborating with SAP and platform teams to optimize data structures for downstream use.

You will work across cross-country teams, implementing observable pipelines and providing onboarding materials for new data consumers.