Growth through diversity, equity, and inclusion. As an ethical business, we do what is right — including ensuring equal opportunities and fostering a safe, respectful workplace for each of us. We believe diversity fuels both personal and business growth. We're committed to building an inclusive community where all our people thrive regardless of their backgrounds, identities, or other personal characteristics.
Job Description:
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.
What We're Looking For:
- 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.
Missing one or two of these qualifications? We still want to hear from you! If you bring a positive mindset, we'll provide an environment where you feel valued and empowered to learn and grow.
We offer:
- Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites.
- “Office as an option” model. You can choose to work remotely or in the office, depending on your location.
- Flexibility regarding working hours and your preferred form of contract.
- Comprehensive online onboarding program with a “Buddy” from day 1.
- Cooperation with top-tier engineers and experts.
- Unlimited access to the Udemy learning platform from day 1.
- Certificate training programs. Lingarians earn 500+ technology certificates yearly.
- Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.
- Internal Gallup Certified Strengths Coach to support your growth.
- Grow as we grow as a company. 76% of our managers are internal promotions.
- A diverse, inclusive, and values-driven community.
- Autonomy to choose the way you work. We trust your ideas.
- Create our community together. Refer your friends to receive bonuses.
- Activities to support your well-being and health.
- Plenty of opportunities to donate to charities and support the environment.
- Modern office equipment. Purchased for you or available to borrow, depending on your location.