Engenheiro de Dados

Bunge has an exciting opportunity available for Data Engineer in São Paulo-SP. In this role you will be part of a global team working on challenging, meaningful projects impacting core business activities. Since 1818, Bunge has been connecting farmers to consumers to deliver essential food, feed, and fuel to the world. Looking to the future, our ambition is to continuously reinvent ourselves, leveraging data to be at the forefront of analytics, technology and talent to accomplish our purpose in a better, faster and simpler way. Bunge is committed to operating and thriving in the digital world – creating world class agile teams where teammates are empowered and encouraged to collaborate and test and learn to succeed.

At Bunge, people don’t just come here to work, they come here to grow – solving challenges that directly impact the world with a diverse team of thinkers and doers. Bunge offers a strong compensation and benefits package, generous paid time off program, flexible work arrangements, and opportunity to progress. Our hybrid work environment provides a balance of in-office and remote work.

Most importantly, in all we do we live our values:

Act as One Team by fostering inclusion, collaboration, and respect
Drive for Excellence by being agile, innovative and efficient
Do What's Right by acting safely, ethically, and sustainably

Overview:

We are seeking a highly motivated and experienced Lead Data Engineer with strong expertise in data architecture, data engineering, data analysis, reporting, and a deep understanding of data products and data mesh concepts. They are an Agile learner, possess strong problem-solving skills, work as part of a technical, cross functional analytics team, and want to solve complex data problems and deliver the insights to enable analytics strategy. At Bunge, you will be at the forefront of leveraging data analytics and technology to feed and fuel the world in a better, faster, and simpler way. Data Engineer will work closely with a multidisciplinary Agile team to build high quality data pipelines driving analytic solutions. These solutions will generate insights from the organization's connected data, enabling the organization to advance the data-driven decision-making capabilities of the organization's enterprise.

Essential Functions:

Participates on supply chain data products development projects, contributing to the design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals​ 
Solve complex problems without clear precedent, requiring application of expertise to analyze the problem to deliver insights that helps the organization's business to achieve their goals​ 
Advise other data and analytic professionals on data standards and practices​ 
Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions​ 
Lead the evaluation, implementation and deployment of emerging tools and process for analytic data engineering in order to improve the organization's productivity as a team​ 
Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.​ 
Use knowledge of Bunge’s business, structure and strategy to develop innovative solutions to improve results or eliminate problems.
Build partnerships, appropriately influence to gain commitment, foster talent and coach others to grow in current or future roles..
Drive results through high standards, focus on key priorities, organization, and preparing others for change.

Qualifications Bachelor’s degree required; Computer Science, MIS, or Engineering preferred; Post Graduate preferred  
3+ years of experience working in data engineering or architecture role, 5+ preferred  
Proficient in programming language like Python or R  
Expertise in SQL and data analysis and experience with at least one programming language (Python or Scala preferred) 
Experience developing and maintaining data warehouses in big data solutions  
Experience with developing solutions on cloud computing services and infrastructure in the data and analytics space (preferred) 
Database development experience using Hadoop or BigQuery and experience with a variety of relational, NoSQL, and cloud database technologies 
Conceptual knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data. 
Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics 
Passionate about Agile software processes, data-driven development, reliability, and experimentation 
Experience working on a collaborative Agile product team  
Self-motivated with strong problem-solving and learning skills 
Flexibility to changes in work direction as the project develops 
Excellent communication, listening, and influencing skills 
Demonstrated strong number sense, intellectually curious and willing to adjust position based on additional information  
Strong work ethic; ability to work at an abstract level and gain consensus