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.