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Senior Data Engineer
hace 3 semanas
Location : Barcelona Hub
City : Barcelona
State : Barcelona (ES-B)
Country : Spain (ES)
Requisition Number : 33763
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. 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 decision-making capabilities of the organization's enterprise.
**Essential Functions**:
- 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
- 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 build the processes assures 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.
- 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.
- 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.
**Requirements**:
- 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)
- Experienc
