We are looking for an expert SAP GTS consultant for Hana (E4H) implementation. Tasks to perform: Responsible for requirement clarification, system configuration, write specification for development, testing and error handling, training and handover Start: 1st September 2025 to 31st July 2026 with possibility to extend Time zone: CET, and be flexible in work time zone when needed Limited travel Requirements: Hands-on project experience in GTS Edition for Hana (E4H) implementation Proficient in GTS customs management and preference management Experience on Free trade zone setup(FTZ) is preferred Be able to work in a global context, good at communication and can cooperate with different stakeholders Candidates who are Independent Contractors eligible for paying tax in UK are not accepted
We are seeking an experienced Data Engineer to join a dynamic team working on modern data solutions using Azure Data Factory and Databricks. The role involves designing and maintaining scalable data pipelines, collaborating with cross-functional teams, and implementing best practices for data integration, quality, and governance. Key Responsibilities Design, develop, and optimize data pipelines using ADF and Databricks Build and manage data integration from diverse sources Collaborate with data scientists, analysts, and architects to deliver business insights Ensure high performance and reliability of workflows Apply CI/CD for smooth deployment and version control Conduct data quality checks and uphold governance standards Document architecture, processes, and troubleshooting procedures Stay updated with Azure and Databricks advancements Requirements Bachelor's in Computer Science or related field 3+ years in data engineering Proficient in Azure Data Factory, Databricks, and SQL Strong understanding of data modeling and ETL Familiarity with Python and CI/CD tools (Azure DevOps, Git) Relevant certifications are a plus Strong problem-solving skills and ability to work in global teams
As a Senior Data Scientist in Data & Analytics, you will collaborate with a team of Data Scientists, Data Engineers, Data Analysts, Machine Learning Engineers, Data Stewards, and Data Architects from various departments such as Technology, Product, and Design. Your focus will be on creating innovative solutions to facilitate strategic decision-making and performance management, utilizing advanced methodologies in a dynamic work environment. Your responsibilities will include addressing critical business queries like enhancing service pricing, optimizing budget allocation, and shaping future retail experiences. There is no requirement for frequent travel in this role. Key Responsibilities: - Utilize Python and/or R for data analysis and modeling - Apply machine learning, statistical analysis, and probability theory techniques - Employ data manipulation tools such as SQL, pandas, and visualization platforms like Tableau, Power BI, and matplotlib - Demonstrate proficiency in collaborative software engineering practices including Git, Agile, and DevOps - Understand cross-functional digital product development and engage in rapid validated learning cycles - Utilize strong business acumen, creativity, curiosity, and effective communication skills in your work Qualifications Required: - Educational background in engineering, computer science, statistics, econometrics, or related fields (Note: No additional company details were mentioned in the job description),