Engenheiro de Dados

Bunge has an exciting opportunity available for a Data Engineer.  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 basic understanding of data science techniques and workflows. 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:

Main Accountabilities 

• Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals​
• Solve complex data problems to deliver insights that helps the organization's business to achieve their goals​
• Create data products for analytics and data scientist team members to improve their productivity​
• 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.​

Impact/Dimensions

• Has in-depth knowledge in optimizations and machine learning models.   Adapts plans within the Department, and recommends solutions/best practices.

Major Opportunities and Decisions 

• Applies acquired expertise to analyze and solve problems without clear precedent.  Identifies applications of functional knowledge and existing methodologies to solve complex problems.  Anticipates internal and/or external business challenges and/or regulatory issues; recommends process, product or service improvements.  Takes a new perspective on existing solutions.  

Management/Leadership

•  Manages projects/processes working independently with limited supervision.  AND/OR provides leadership to professionals and/or support staff.  Follow specific functional policy and broad procedure allowing the choice of tactics to reach the established goals. 
• Leads technical discussion of data engineers of the same squad to ensure best solution implementation.

Knowledge and Technical Competencies 

• Proficient in data science, optimization, machine learning, Python, R, SQL, data analysis, analytical skills, teamwork, and communication skills.
• Can translate business needs into optimization components (e.g. Constraints, penalties and objective function
• Develop business awareness of possible use cases and help them to understand the necessary concepts of data science and optimization to ensure better communication across functions.

Minimum Requirements:

Education/Experience 

• Post graduate degree in STEM field or Bachelor degree with 2-3 years experience as Data Engineer II
• 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.​
• Big Data Development experience using Hive, Impala or Spark
• 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 

At Bunge (NYSE: BG), our purpose is to connect farmers to consumers to deliver essential food, feed and fuel to the world. As a premier agribusiness solutions provider, our team of ~37,000 dedicated employees partner with farmers across the globe to move agricultural commodities from where they’re grown to where they’re needed—in faster, smarter, and more efficient ways. We are a world leader in grain origination, storage, distribution, oilseed processing and refining, offering a broad portfolio of plant-based oils, fats, and proteins. We work alongside our customers at both ends of the value chain to deliver quality products and develop tailored, innovative solutions that address evolving consumer needs. With 200+ years of experience and presence in over 50 countries, we are committed to strengthening global food security, advancing sustainability, and helping communities prosper where we operate. Bunge has its registered office in Geneva, Switzerland and its corporate headquarters in St. Louis, Missouri. Learn more at Bunge.com.

Every day our people exemplify these values, which represent Bunge at its core:

•    We Are One Team – Collaborative, Respectful, Inclusive
•    We Lead The Way – Agile, Empowered, Innovative
•    We Do What’s Right – Safety, Sustainability, With Integrity

If this sounds like you, join us!  We value and invest in people who believe in our purpose and are excited to live it every day – people who are #ProudtoBeBunge