Hybrid Data Engineer – Dry Bulk Commodities

at Kpler

• Job title: Data Engineer – Dry Bulk Commodities
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Python
• Location requirements: Hybrid, Budapest, Hungary

About the role

• Data Engineer developing tools and analytical capabilities for tracking commodity flows within the Dry Bulk market. Lead data interventions and engage with cross-functional teams for efficient cargo data management.

Responsibilities

• Create scripts, CLI utilities, and web-based UIs (using tools like Streamlit) that empower analysts to perform data quality interventions more efficiently and at greater scale
• Query and analyse substantial datasets to surface insights, identify data quality issues, and inform both tactical interventions and strategic improvements
• Work alongside software engineers to develop backend tools and data pipelines that improve the overall quality and reliability of our tracking systems
• Understand the day-to-day challenges analysts face and translate those pain points into technical solutions that reduce manual effort
• Create clear documentation for tools, data processes, and analytical approaches to ensure knowledge sharing across the team
• Develop automated checks and monitoring systems that proactively flag data anomalies before they require manual intervention
• Rapidly test new approaches to data quality challenges, learning from what works and what doesn't, and scaling successful solutions

Requirements

• Experience extracting, transforming and analysing data from databases and APIs
• Comfortability working with large, unstructured datasets too complex for standard spreadsheet tools
• Experience tackling problems that have required learning new tools or technical approaches
• Background working as part of a multidisciplinary team, particularly with mixed technical/non-technical colleagues
• Proficiency in Python (or demonstrable ability to become proficient quickly)
• Experience building CLI tools, or scripts that automate processes and improve team efficiency
• Familiarity with Git-based workflows and code reviews
• A mindset that prioritises delivering practical, workable solutions over chasing perfect ones that never ship
• The inclination to take ownership of problems, using initiative to tackle issues, without waiting to be asked

Benefits

• Health insurance
• Retirement plans
• Paid time off
• Flexible work arrangements
• Professional development