Data Engineer

decision-making capabilities of the organization’s enterprise. Main Accountabilities : - 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 . - 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 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 Requirements: - Post graduate degree in STEM field with 3-5 years of experience as Sr/Lead 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 lakes or lake-houses platforms. - Experience with developing solutions on cloud computing services and infrastructure in the data and analytics space using streaming and CDC pipelines - Strong Datalake/DW development experience using Cloud MPP engines (BigQuery preferred) 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.

• Data Engineering experience using GCP portfolio (Big query, DataStream, DataProc, DataPlex and DataForm) - Familiarity with the Linux operating system - 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 LI-MŚ1 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

City : Sant Just Desvern State : Barcelona (ES-B) Country : Spain (ES) Requisition Number : 45095 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. Data Engineer will work closely with a multidisciplinary Agile team to build high quality data pipelines driving new data products and analytic/ML solutions. These solutions will generate insights from the organization’s connected data, enabling the organization to advance the data-driven, 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