Key Skills

Job Description

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.

Core Responsibilities

Build and maintain reliable, observable pipelines that extract SAP S/4HANA data into Snowflake, and develop documented DBT models for retail analytics and operational use. Establish data quality checks, lineage, and basic governance while collaborating with SAP, platform, analytics, and operational teams.

Requirements

Candidates need proven experience delivering SAP S/4HANA data pipelines to Snowflake or an equivalent cloud warehouse, along with hands-on Snowflake, performant SQL, and DBT or equivalent transformation experience. They should understand retail data modeling across supply chain, master data, finance, and sales, have familiarity with data quality and governance, be proficient in English, and be based in the Netherlands, Italy, or Spain.