Senior SAP Data Engineer

Job description

The Sofidel Group Sofidel, headquartered in Porcari (Lucca), is a global leader in tissue paper production. With operations in 12 European countries and 12 U.S. States, we employ over 9,500 people dedicated to innovation, sustainability, and inclusivity. Our products—such as toilet paper, paper towels, and napkins—are distributed in more than 50 countries. We own well-known brands including Regina, Nicky, Sopalin, Le Trèfle, Hakle, Softis, Nalys, Cosynel, and KittenSoft, and also produce for private-label retailers. Through the Papernet brand, we serve the Away-from-Home sector, providing quality solutions for businesses and public spaces. Wherever you are, Sofidel is there, bringing comfort, quality, and sustainability to everyday life! PURPOSE We are looking for a Senior SAP Data Engineer with hands-on experience in SAP Datasphere and SAP S/4HANA to contribute to the evolution of our Data Architecture towards SAP Business Data Cloud. The ideal candidate combines expertise in Data Engineering, SAP Data Modeling, and Finance data semantics, with a solid understanding of S/4HANA Finance data, including FI/CO, General Ledger, Cost Centers, Profit Centers, Actuals/Budget/Forecast, Master Data and Hierarchies. We are not necessarily looking for an FI/CO Functional Consultant, but rather for a Data Engineer who understands Finance data and can effectively translate the needs of FP&A, Controlling, and Accounting into robust, high-performing, and reusable data solutions. The role is office-based in Porcari, Lucca (Italy). MAIN RESPONSIBILITIES Develops and executes the assigned projects Participates in the maintenance SAP implementations related to management account department Carries over the support and troubleshooting requests in order to minimize the business inconvenience/disruptions and increase the service level Acts in compliance with data protection in line with current legislation and corporate policies Contributes to satisfying the continuing need for IT innovation and development Qualifications & Experience required: STEM degree, such as Computer Engineering, Computer Science, Statistics, ICT Engineering, or equivalent professional experience Approximately 5+ years of experience in SAP Data & Analytics / Data Engineering Proven hands-on experience with SAP Datasphere / SAP Data Warehouse Cloud Experience with at least two SAP Datasphere implementations is preferred Strong technical skills in: SAP Datasphere, S/4HANA Data Model, ABAP CDS Views, Data & Semantic Modeling, Replication and Transformation Flows, Remote Tables & Federation, Advanced SQL / SAP HANA SQLScript, ETL/ELT and Data Pipelines, Data Quality & Reconciliation, Performance Tuning, and Python for data processing and automation Good understanding of Extraction, Delta & CDC and SAP Clean Core principles Very good written and spoken English Preferred qualifications: Experience with SAP Business Data Cloud, Data Products, SAP BW/BW4HANA modernization, SAP Analytics Cloud and SAC Planning Familiarity with SAP HANA Cloud / SAP BTP and modern data platforms such as Databricks or Snowflake Knowledge of REST/OData, Git, CI/CD, and AI/ML technologies, including Generative AI Personal Skills: Hands-on approach and strong problem-solving skills Ability to work independently and take technical ownership Ability to design simple, robust, and scalable solutions Strong focus on performance and data quality Ability to collaborate effectively across IT and Finance teams WHAT WE OFFER A full-time employment The chance to work in an international Group and a concrete opportunity for professional growth A dynamic environment based on teamwork Sofidel Language Learning Programme through innovative digital platform OUR APPROACH TO COMPENSATION We are committed to offering a fair and transparent compensation approach. This role sits within an annual salary range of €40.000 – €50.000, defined based on internal equity and external market benchmarks. The final offer will be tailored, reflecting the selected candidate’s experience, skills, and overall contribution to the role.