Duties & Role: • Analyze clients' IT processes to identify optimal methods for generating data assets. • Advise on Data Architecture, Data Management, Data Warehousing, and use of Data Lakes and Data Lakehouses. • Build and evolve data solutions using tools like Hadoop, Exasol, and Snowflake. • Create, develop, and refine data pipelines. • Integrate best practices and innovations in data engineering into projects. • Take on partial or full project management responsibilities, depending on experience. Skill, Knowledge & Experience: • Strong knowledge of Data Warehouse, Data Lakehouse, Data Mesh, and Data Fabric concepts. • Experience with open-source data tools like Kafka and the Hadoop Ecosystem. • Proven ability to build real-time data pipelines using Flink, Kafka, Spark, and dbt. • Proficiency in Python and Java. • Agile, proactive mindset and passion for data. • Fluency in English.