Data Engineer (SAP S/4HANA & Snowflake)

To apply, go to Glopros The role You will deliver robust data pipelines and models that make SAP S/4HANA data available in the company data platform for analytics and operational consumers by designing and implementing ETL/ELT flows into Snowflake and DBT models, at a sporting goods manufacturing company. You will work closely with analytics consumers, SAP functional teams and the platform engineering lead and report to the Data Platform Manager. Success looks like: (1) reliable, documented pipelines from S/4HANA into Snowflake with automated DBT transformations serving reporting and operational use cases; (2) established data models for retail (sales, inventory, assortment) and clear data lineage and quality checks in place. About the company The company is investing in a modern data platform to unify ERP and analytics data. This role exists to accelerate delivery of repeatable pipelines and retail-focused data models so analytics and operational teams can make faster, data-driven decisions. What you will do - Build and maintain end-to-end data pipelines extracting relevant SAP S/4HANA sources into Snowflake, ensuring reliability and observability. - Design DBT models and maintain transformation logic to produce analytics-ready tables for retail (sales, inventory, assortment, pricing). - Implement data quality checks, lineage and basic governance so downstream consumers trust the data. - Collaborate with SAP functional owners and platform engineers to define extraction patterns and optimise S/4HANA data structures for downstream use. - Support analytics and operational teams by delivering documented schemas, examples and onboarding for new data consumers. What you bring - Proven experience building pipelines from SAP S/4HANA into a cloud data warehouse (Snowflake or equivalent) with concrete project examples. - Hands-on experience with Snowflake and writing performant SQL for modelling and transformations. - Practical experience using DBT (or equivalent) to manage transformation workflows and testing. - Solid understanding of retail data modelling concepts relevant to supply chain SCM, master data, finance, sales. - Familiarity with data quality, lineage and basic governance practices. - English language proficiency sufficient for cross-country collaboration. - Based in the Netherlands, Italy or Spain and able to attend occasional on-site meetings. Nice to have - Experience with SAP extraction tools or middleware (SLT, SAP Data Services, SAP BW/4HANA knowledge). - Prior experience in manufacturing or sporting goods/retail analytics. - Certifications in Snowflake or DBT. You will thrive in this role if - You enjoy turning ERP data into usable, documented analytics assets and can navigate SAP data structures. - You are pragmatic about observability and reliability: you build tests and monitoring, not just transformations. - You can work with cross-functional teams (SAP, BI, platform) and translate stakeholder needs into scalable data models.