Bunge has an exciting opportunity available for a Senior 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 Senior 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. The 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 enterprise.
Essential Functions
Main Accountabilities
* Solve complex data problems to deliver insights that help the organization’s business to achieve their goals
* Create data products for analytics and data science team members to improve their productivity
* Mentor and coach other data and analytics professionals on data standards and practices
* Foster a culture of sharing, re‑use, design for scale and stability, and operational efficiency of data and analytical solutions
* Lead the evaluation, implementation and deployment of emerging tools and processes for analytic data engineering in order to improve the organization’s productivity as a team
* Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes.
* Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.
* Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics
* Ensure timely analysis and testing for regular maintenance of solutions over time.
Impact/Dimensions
* Develops plans within the Supply Chain. Is recognized as an expert in own area within the organization.
Key Performance Indicators
* Accountable for the results of a large and/or moderately complex project(s). Provides input on resource planning and policy development.
* Lead the definition of coding best practices, communicates it and builds the processes that assure its implementation.
* Create a structured, organized, readable and reusable code/analysis using best practices.
* Can revise code and identify gaps and suggest improvements to reach 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 operational plans, large projects and/or processes with limited oversight from a manager. Leads and/or participates with comparable influence in large projects/initiatives; AND/OR provides leadership to professionals and support. Contributes to short to mid‑term (1‑3 years) talent optimization plans to execute strategies in the job area.
* Leads technical discussion across other Data Engineers to ensure best practices, approaches and implementation.
Key Relationships, Stakeholders & Interfaces
* Stakeholders of this role include Data Engineers, BSA, MLE, product owners and main business stakeholders.
* Helps train/upskill members of the team in Data Engineer tools/techniques and provides high quality solutions to the product owners.
Knowledge and Technical Competencies
* Proficient in SQL and data analysis and experience with at least one programming language (Python or Scala preferred)
* Conceptual understanding of data mesh
* Can help business structure the data solution.
* Develop business awareness of possible use cases
Education/Experience
* Bachelor’s degree in STEM field and 3‑5 years of experience as a Data Engineer
* 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
* Experience designing, implementing, and maintaining data pipelines using orchestration tools such as Apache Airflow.
* 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, Spark and familiarity with Kafka (Preferred)
* Familiarity with the Linux operating system (Preferred)
* 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 change 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
* Advanced English proficiency
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