Data Engineer (SAP S/4HANA & Snowflake)

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.