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.
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Data Engineer (SAP S/4HANA & Snowflake) in Amsterdam werkgever: GloPros
Als Enterprise Resources Planning Specialist bij ons in Leiden maak je deel uit van een dynamisch team dat zich richt op het optimaliseren van bedrijfsprocessen door middel van innovatieve ERP-oplossingen. Wij bieden een stimulerende werkomgeving met volop mogelijkheden voor persoonlijke en professionele groei, waar samenwerking en continue verbetering centraal staan. Met een hybride werkmodel en de kans om te werken aan uitdagende projecten zoals de transitie naar SAP S/4HANA, ben je verzekerd van een betekenisvolle en impactvolle rol binnen onze organisatie.
