Data Engineer

City : Warsaw

State : Mazowieckie (PL-MZ)

Country : Poland (PL)

Requisition Number : 47633

Data Engineer 

We are seeking a highly motivated and experienced Data Engineer with expertise in data engineering, data modeling, and data products. The Data Engineer will work closely with a multidisciplinary Agile team to build high-quality data pipelines, reusable data models, and trusted data products that enable reporting, self-service analytics, and data-driven decision making across the enterprise. This role requires strong technical problem-solving skills, collaboration across business and technology teams, and a passion for transforming complex data into scalable analytical solutions that drive business value.

Main Accountabilities

• Design, develop, optimize, and maintain data pipelines, data models, and analytical datasets that support enterprise reporting, self-service analytics, and business decision-making.
• Solve complex data challenges and deliver trusted, high-quality data solutions that enable business users to generate insights and achieve strategic objectives.
• Create and maintain governed data products that provide reusable, business-ready data assets for analytics, reporting, and advanced analytical use cases.
• Foster a culture of sharing, reuse, documentation, and design for scale while improving the stability, quality, and operational efficiency of data and analytical solutions.
• Lead the evaluation, implementation, and adoption of emerging tools, technologies, and best practices in data engineering, analytics engineering, and data product development to improve team productivity and business value.

Knowledge and Skills 

• Improve Bunge's outcomes by making data-driven decisions, keeping the customer at the forefront of all they do, and proactively gaining insight into the global strategy.
• Collaborate, effectively communicate with others and take initiative to continually develop themselves.
• Pursue opportunities to solve problems and take action while maintaining the ability to manage work, even in times of challenge or change.
• Skilled in data engineering, Python, dbt, SQL, data analysis, analytical skills, teamwork, and communication skills.  
• Can design and develop scalable data models, analytical datasets, and data products that support reporting, self-service analytics, and advanced analytics use cases.
• Strong understanding of dimensional modeling, semantic modeling, and analytics-oriented data design.