We are looking for a Data Engineer to ensure we can leverage data effectively for analytics, reporting, and decision-making by building and maintaining a robust data infrastructure for enterprise-grade IT solutions of BASF Agricultural. The role involves both technical and leadership skills to drive efficient product delivery working closely with our US team.

High-level objectives are as follows:

• Designing, building, and maintaining data pipelines and infrastructure
• Integrate data from various sources, ensuring data quality, manage data storage, and optimize performance.
• Communication and collaboration
• Ensure compliance.
• Stakeholder Alignment, working for the US.
• Innovation

Qualifications:

• Bachelor Degree in Computer Science / Computer Engineering / Information Technology or business-technology related discipline
• 3-5 years of professional experience in IT and / or IT Consulting
• Tech Stack needed: Databricks, Azure Data Factory, Synapse, SQL Server
• Experienced in Java, Scala, Python, SQL is valued
• Business Consulting and Technical Consulting skills
• Familiar with Data Warehouse and Data Lake architecture concept
• Design & Implementation of ETL / ELT data pipelines

BASF considers Law N° 19.691 and Decree N° 73/019 in all its hiring processes. Every qualified candidate who meets the requirements established in the job description will be considered in this hiring process with no distinction.
Moreover, BASF is an equal-opportunity employer. We enthusiastically accept our responsibility to make employment decisions without regard to race, age, civil and social status, national origin, disability, sex, gender identity or expressions, or any other candidate or employee´s characteristic or group that is not related to their aptitude and suitability for the position. Our management is committed to following this policy concerning hiring, placement, promotion, transfer, demotion, layoff, termination, recruiting, pay, and other forms of compensation, training, and general treatment during employment.