Impact & Team Power: High degree of creative freedom and unbeatable team power in a high performance work environment Salary & Employee Discounts: Secure job with the pioneer of discounts offering an attractive salary and corporate benefits Your tasks Lead the SAP development within the S/4HANA transformation program, functional developments and operational business Ensure all custom developments comply with SAP Clean Core principles and standardized development guidelines Design and implement scalable, maintainable custom solutions using ABAP, CDS Views, OData services, and Fiori/UI5 Collaborate with solution architects and challenge technical designs proposals Oversee integration scenarios leveraging SAP BTP services (CAP, Integration Suite, Workflow Management) Establish and enforce development best practices, code reviews, and quality assurance processes Support migration activities and ensure compatibility with future SAP upgrades Act as a technical mentor for development teams and coordinate offshore/nearshore resources Your profile Degree in Business Informatics or a comparable qualification Several years of experience in SAP development (ABAP, CDS, Fiori/UI5) Experience in SAP S/4HANA transformation projects and custom development governance Familiarity with SAP BTP services and cloud integration patterns as well as experience with SAP CAP (Cloud Application Programming Model) Ability to critically assess architecture proposals and provide sustainable alternatives Knowledge of API management and event driven architectures Familiarity with DevOps tools and CI/CD pipelines for SAP environments Strong knowledge of performance optimization and secure coding practices Very good German & English language skills, both spoken and written SAP-Developer-Core-Platform-m-f-d-Essen
Our Ideal Candidate Will Have: Master’s degree in Computer Science, Mathematics/Statistics, Economics/Econometrics or related field.Substantial years of professional experience in quantitative data analysis or PhD with at least 1 year of relevant professional experience with research in machine learning algorithms.Very good knowledge and in depth understanding of Machine Learning methods, both classical and deep learning models.Relevant experience with Natural Language Processing (NLP) models for extracting structured concepts from unstructured free text, including the design, training, and evaluation of information‑extraction pipelines.Very strong technical capability in Python, SQL, Hadoop ecosystem.Experience applying AI/Machine Learning methods to business questions.Very good knowledge of the higher statistical and econometric methods in theory and practice.Experience with handling Big Data.Ability to write clean, reusable, production-level codeExcellent communication skills (written and oral) including technical aspects of a project, ability to develop usable documentation, results interpretation and business recommendations.Strong analytic mindset and logical thinking capability, strong QC mindset.Knowledge of pharmaceutical market and experience with pharmaceutical data (medical, hospital, pharmacy, claims data) would be a plus, but not a must.Self-responsible for managing projects.Fluency in German & English. The Team Data Science & Advanced Analytics – with departments in Frankfurt, Philadelphia, Milan, Madrid, Athens, Warsaw and Beijing as well as a network of more than 300 experts worldwide - is the global competence center for statistics and data science at IQVIA.