**Responsibilities**: - Lead data teams, guide and support decisions in terms of data strategies, architecture, modeling, and tools. - Plan and conduct Data projects. - Discovers and elicits business and data requirements. - Design and implement Data architectures on cloud or on-premises. - Develop logical data models for OLTP and OLAP processing. - Develop data pipelines for extracting, cleansing, transforming, and enhancing data. - Team-oriented attitude and the ability to work well with others to achieve a common goal. - Open to working in an agile environment as part of a scrum team. - The ability to take the initiative, drive the project and innovate. - Having a proactive attitude towards solving problems. - Good client-facing skills. **Qualifications and Experience**: - +5 years of experience in SAP BW 7.5, BW on HANA, and BW4HANA - +2 years of experience in SAC (SAP Analytics Cloud) - At least 2 SAP BW full life cycle development experiences from design through implementation with ECC/S4HANA as the source system. - Strong hands-on experience in data integration and extraction techniques between SAP ECC, S/4 HANA, BW, and BW/4HANA systems. - +5 years of experience in Data Engineering. - Some experience leading IT projects and stakeholders management. - Experience implementing ETL/ELT process and Data pipelines. - Experience with Snowflake. - Strong SQL scripting experience. - Proficiency in a programing language such as Python. - Background and experience with cloud data technologies and tools. - Familiar with data tools and technologies like: - Spark, Hadoop, Apache beam, Dataproc or similar. - BigQuery, Redshift, or other Data warehouse tools. - Real-time pipelines with Kinesis or Kafka. - Batch processing. - Serverless processing. - English level from B2.