Principal Data Engineer

Location:
Sant Just Desvern, B, ES, 08960
City:
Barcelona
Country:
Spain (ES)
Requisition Number:
33761
Bunge has an exciting opportunity available for a Principal 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.
Overview
We are seeking a highly motivated and experienced Principal Data Engineer with strong expertise in data architecture, data engineering and experiences in Data Platforms and Data Mesh paradigm.
The Data Engineer will work closely with a multidisciplinary Agile team to build high quality data pipelines driving analytic solutions that generate insights from the organization's connected data, enabling the organization to advance its data-driven decision-making capabilities.
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 data problems to deliver insights that help the organization's business to achieve their goals.
Build a Data Platform to help product teams, data analysts, and data scientists to solve complex data problems and deliver insights and value in a faster, easier, and cheaper way.
Architect and implement a Lake House architecture in the Data Platform that enables data democratization in Bunge for any kind of structured or unstructured data.
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 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.
Establish and implement Data strategy and Data model in the Bunge Data Platform.
Accountable for the results of a large and/or moderately complex project(s).
Provides input on resource planning and policy development.
Responsible for the roadmap execution and adjustment.
Responsible for Data Strategy and Data modeling in the Data Products within Bunge Data Platform, supporting all business domains.
Requirements
PhD in STEM field with research experience in Data Science or a postgraduate degree in STEM field with 6+ years of experience as Lead/Principal Data Engineer.
Plays a significant role in developing other juniors, acts as a technical consultant to product managers, and is valued as an asset to any data science projects.
Domain expert and functional advisor for business stakeholders in Data Engineering subjects using Cloud technologies.
Strong Database development experience using Hadoop or Cloud MPP engines (BigQuery preferred) and experience with a variety of relational, NoSQL, and cloud database technologies.
Handle most of the day-to-day communications with the product owners.
Leads all internal meetings as well as weekly or fortnightly reports on the team's progress.
Divide their project into workstreams led by Senior Data Engineers and delegate tasks efficiently.
Ensure that the project is well executed and deliverables are completed according to the timeline.
Proficient in SQL and data analysis and experience with at least one programming language (Python or Scala preferred).
Conceptual understanding of data mesh concepts and modern Lake-House data Architecture.
Can help business structure the data solution.
Develop business awareness of possible use cases.
Lead Data Strategy and Data Modeling in the Bunge Data Platform.
Leads technical discussions across other data engineers to ensure best practices, approaches, and implementation.
Orchestrate multiple data pipeline and data product projects working independently.
Provides leadership to professionals and support staff.
Bunge (NYSE:
BG) is a world leader in sourcing, processing and supplying oilseed and grain products and ingredients.
Founded in 1818, Bunge's expansive network feeds and fuels a growing world, creating sustainable products and opportunities for more than 70,000 farmers and the consumers they serve across the globe.
The company is headquartered in St.
Louis, Missouri and has 25,000 employees worldwide who stand behind more than 350 port terminals, oilseed processing plants, grain facilities, and food and ingredient production and packaging facilities around the world.
Bunge is an Equal Opportunity Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, transgender status, national origin, citizenship, age, disability or military or veteran status, or any other legally protected status.
Minorities/Women/Veterans/Disabled.
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