Senior Data Engineer

Bunge Iberica SA; São Paulo; Presencial; BRL 180 000 - 320 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Competitive compensation

Generous paid time off

Flexible work arrangements

Resumo da oferta

Bunge is seeking a Senior Data Engineer to join a global analytics team, designing scalable data pipelines and data architectures that power core business decisions. You will collaborate across disciplines to deliver reliable data products and insights, while guiding best practices in data engineering.

The role emphasizes cloud-based data solutions, data governance, and continuous learning in ML and analytics to advance the company’s data-driven strategy.

Qualificações

• PhD or postgraduate STEM degree with significant data engineering experience.
• Strong SQL and data analysis skills; Python or Scala preferred.
• Experience building data warehouses and data pipelines on cloud platforms.
• Familiarity with Big Data technologies (Hive/Impala/Spark) and data governance.

Responsabilidades

• Solve complex data problems to deliver actionable insights for business goals.
• Create data products for analytics teams to boost productivity.
• Mentor data engineers on standards and practices; promote reuse and scalability.
• Lead evaluation and deployment of new analytic tools and processes.
• Develop and deliver education plans on analytic data capabilities and standards.
• Partner with analysts and solution architects to design enterprise data architectures.
• Exposure to machine learning, data science, and AI concepts.

Conhecimentos

SQL

Data analysis

Python/Scala

Big data

Linux familiarity

Machine learning exposure

Formação académica

PhD or postgraduate STEM with 3-5 years as Lead Data Engineer

Ferramentas

Hadoop

BigQuery

Kafka

Cloud platforms

Descrição da oferta de emprego

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.

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 partof 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 ofleveraging 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'sconnected data, enabling the organization to advance the data-driven decision-making capabilities of the organization's enterprise.

Essential Functions

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 scientistteam members to improve theirproductivity
• Mentor and coach other data andanalytic professionals on data standards andpractices
• Foster a culture of sharing, re-use, design for scalestability, and operational efficiency of data andanalyticalsolutions
• Lead the evaluation, implementation and deployment ofemerging tools and process for analytic dataengineeringin order to improve the organization'sproductivity as ateam
• Develop and deliver communication and educationplans on analytic data engineering capabilities,standards, andprocesses.
• Partner with business analysts and solutions architectsto develop technical architectures for strategicenterprise projects andinitiatives.
• Learn about machine learning, data science, computervision, artificial intelligence, statistics, and/or appliedmathematics
• 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.

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 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 job area.
• Leads technical discussion across other data Engineer 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 solution(s) to the product owners.

Knowledge and Technical Competencies

• Can help business structure the data solution.
• Proficient in SQL and data analysis and experience with at least one programming language (Python or Scala preferred)
• Conceptual understanding of data mesh
• Develop business awareness of possible use cases

Education/Experience

• PhD in STEM field with research experience in Data Science or experience Post graduate degree in STEM field with 3-5 years experience as 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 warehouses in big datasolutions
• Experience with developing solutions on cloud computing services and infrastructure in the data and analytics space (preferred)
• Database development experience using Hadoop orBigQueryand experience with a variety of relational, NoSQL, and clouddatabasetechnologies
• Conceptual knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, datawarehousing, structured and unstructureddata.
• 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 appliedmathematics
• 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