Experteer Overview

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Ente to optimize CHEP assets through scalable data solutions. You will extend and tailor analytics-driven applications in collaboration with cross-functional teams, leveraging existing ML models and data analysis to meet regional needs. You’ll build and refine data pipelines, automate workflows, and ensure robust data quality and governance. This role offers the chance to impact asset efficiency and support sustainability goals within a general organization.

Compensaciones / Beneficios
• Design and build scalable data components and libraries to support analytics products
• Develop and maintain scalable data pipelines and processing systems
• Implement automated workflows using scheduling tools for data ingestion and consumption
• Improve data quality, reliability, and scalability with CI, testing, and best practices
• Collaborate with stakeholders to design data product features and improve data accessibility




• Perform root cause analysis and provide scalable data solutions for operations and products
• Lead disaster recovery planning and align data models/architectures with business needs and cost reduction
• Mentor data engineers on standards and best practices
• Implement solutions from the Advance Analytics team to optimize asset use
• Conduct What-If and scenario analyses to support new implementations
• Test and simulate large historical data sets to assess effectiveness
• Document code changes following guidelines (Jira, Confluence, BitBucket)
• Develop Python-based solutions aligned with regional business needs and control programs
• Engage with internal SMEs to capture requirements and advocate best practices
• Identify and propose improvements to processes for standardization and usability
• Flag risks and issues early and coordinate resolution throughout the program
• Communicate implementa

📌 Data Solutions Developer (Madrid)
🏢 Brambles
📍 Madrid