Data Modeler - Lead

Lingaro Group is the end-to-end data services partner to global brands and enterprises. We lead our clients through their data journey, from strategy through development to operations and adoption, helping them to realize the full value of their data.

Since 2008, Lingaro has been recognized by clients and global research and advisory firms for innovation, technology excellence, and the consistent delivery of highest-quality data services. Our commitment to data excellence has created an environment that attracts the brightest global data talent to our team.
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We are looking for a Data Modeler with 4–7 years of relevant experience who has a strong foundation in data modeling, an understanding of SAP supply chain processes, and an interest in working with modern cloud data platforms. The ideal candidate will collaborate with business, SAP functional, and data engineering teams to build reliable, scalable data models that support business operations, reporting, and analytics.

• Education and Experience: Bachelor’s or master’s degree in Computer Science, Information Systems, or a related field, with 4–7 years of experience in data modeling or a similar role.
• SAP and Supply Chain Knowledge: Understanding of one or more supply chain processes, such as Order-to-Cash (OTC), Source-to-Pay (STP), , Supply Planning (SP), or in SAP ECC or S/4HANA. Familiarity with supporting systems such as eWM and TMS is an added advantage.
• Data Modeling Skills: Good understanding of conceptual, logical, and physical data modeling, source-to-target mapping, canonical data models, and data modeling best practices. Experience with tools such as erwin Data Modeler is preferred.
• Cloud Data Platforms: Familiarity with cloud data warehouses and data lakes, particularly Databricks on AWS, Azure, or Google Cloud.
• Databricks and SQL: Hands-on experience with Databricks and SQL, along with an understanding of Lakehouse architecture and analytical data processing.
• SAP Data and Relationships: Understanding of SAP modules, master and transactional data, and relationships across business processes to support consistent and accurate data models.
• Data Quality and Governance: Basic knowledge of data profiling, data cleansing, data harmonization, data quality, metadata, lineage, and enterprise data standards.
• Analytics and Reporting: Ability to understand reporting and analytics requirements and design data models that support downstream data consumption and business insights.
• Analytical and Collaboration Skills: Strong problem-solving and analytical abilities, with good communication skills and the ability to work collaboratively with business stakeholders, SAP functional teams, and data engineering teams to resolve data issues and translate business needs into effective data solutions.