Senior Data Engineer

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 and a basic understanding of data products and data mesh. 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. This role requires 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. 

Essential Functions:

• Solve complex supply chain 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​
• Mentor and coach 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 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

Qualifications:

• Research experience in Data Science or experience Post graduate degree in STEM field with 3-5 years' experience as  Data Engineer
• Data Engineering experience using GCP portfolio (Big query, DataStream, DataProc, DataPlex and DataForm)
• Skilled in data engineering, Python, dbt, SQL, data analysis, analytical skills, teamwork, and communication skills.  
• Can design the necessary data architecture to support the data analytics squads
• Can evaluate different cloud services to implement the most cost-efficient solutions
• Deep understand of data mesh concepts
• Can help business structure the data architect solution.  
• 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, Spark, and familiarity with Kafka (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​
• Flexibility to changes in work direction as the project develops​
• Excellent communication, listening, and influencing skills
• Strong work ethic; ability to work at an abstract level and gain consensus

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