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Location : Barcelona Hub
City : Barcelona
State : Barcelona (ES-B)
Country : Spain (ES)
Requisition Number : 40844
Bunge has an exciting opportunity available for a Data Platform Engineering Manager. 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:
The Data Platform Engineering Manager is a critical leadership role within Bunge's Global IT organization. You will lead and inspire a team of talented data engineers responsible for building and maintaining Bunge's next-generation Data Platform. This platform will empower data-driven decision-making across the company, fueling innovation and operational efficiency in areas such as supply chain optimization, risk management, and market analysis. This role requires a strategic thinker with strong technical expertise and a passion for building high-performing teams. You will navigate the challenges of a complex global environment while capitalizing on opportunities to leverage cutting-edge technologies to transform Bunge's data landscape.
Essential Functions:
* Provide mentorship, coaching, and career development guidance to a team of Data Engineers, fostering a culture of collaboration, innovation, and continuous learning.
* Collaborate with stakeholders to define and execute a long-term vision for Bunge's data platform, ensuring alignment with business objectives and industry best practices.
* Lead the design, development, and implementation of a scalable, secure, and reliable data platform, leveraging cloud technologies and modern data engineering principles.
* Implement and enforce data governance policies and procedures to maintain data accuracy, consistency, and compliance with regulatory requirements.
* Continuously monitor platform performance, identify areas for improvement, and implement optimization strategies to ensure high availability, scalability, and cost-effectiveness.
* Build strong relationships with business stakeholders, data scientists, and other IT teams to understand data needs and ensure the platform meets their requirements.
* Research and evaluate emerging technologies and trends in data engineering and platform development, recommending and implementing innovative solutions to enhance Bunge's data capabilities.
* Influences data strategy and operations across Bunge's global footprint.
* Directly impacts data-driven decision-making across all business units.
* Manages a team of Data Engineers.
* Be recognized as an external thought leader at Data Engineering and Lake-House architecture in Google Cloud.
* Help shape Data Platform roadmap and vision
* Influence the future direction of Bunge's data platform architecture.
* Lead the adoption of cutting-edge data technologies.
* Develop and mentor a high-performing engineering team.
* Ensure an excellence in the Data Platform operation at global scale
* Lead Data Strategy and Data Modeling in the Bunge Data Platform
* Leads technical discussion across other data Engineer to ensure best practices, approaches, and implementation.
* Contributes to talent management plans to support business strategies.
Qualifications:
* Bachelor's degree in Computer Science, Information Technology, or related field. Master's degree preferred.
* 7+ years of experience in data engineering, with at least 3 years in a management role.
* Experience building and managing large-scale Data Platforms in a cloud environment.
* Proven ability to lead and develop high-performing engineering teams.
* Excellent communication, interpersonal, and stakeholder management skills.
* Cloud Platforms: GCP (Preferred), AWS or Azure
* Data Engineering Tools: Very strong and hands-on experience in Google Cloud Data Analytics: Big Query, DataStream, DataProc
* Skilled in SQL, Python, and DBT/DataForm
* Experience in complex event-driven data pipeline orchestrations.
* Data Warehousing and Data Lake Technologies: BigQuey (Preferred), Snowflake
* Data Governance and Security: Best practices and implementation in Cloud Environments
* Software Development Lifecycle (SDLC): Agile methodologies
* Experience in IaC in Data using Terraform
* Deep understanding of data mesh concepts and modern Lake-House data Architecture
* Deep understanding of Kappa Architecture and experience in CDC ingestion
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. Veterans/Disabled
Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Full-time
Job function
* Job function
Engineering and Information Technology
* Industries
Food and Beverage Manufacturing
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