Location:
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Barcelona, Spain (ES-B) |
Requisition Number:
40844
Bunge has an exciting opportunity available for a Principal Data Engineer - Technical Lead. In this role you will be part of a global team working on challenging, meaningful projects impacting core business activities. 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 Principal Data Engineer - Technical Lead 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. On this role you will be also a hands‑on technical person and a leader of a team of data engineers.
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 on 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 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 Engineers 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: BigQuery (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. xpzdshu
Deep understanding of Kappa Architecture and experience in CDC ingestion.
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