Data Engineer – Dry Bulk Commodities

🕒 March 2

🏢🏡 London – Hybrid

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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Kpler

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2014

⚡ Energy

🚗 Transport

Energy • Transport • Data Services

Kpler is a leading provider of real-time data and intelligence in the maritime and energy sectors. The company offers products and services designed to help businesses make informed decisions in commodity trading, energy transition, and maritime logistics. With a robust platform that provides detailed insights into physical markets, power markets, and financial markets, Kpler enables traders, analysts, fleet managers, and logistics professionals to optimize their operations and strategies. The company's tools include ship tracking, cargo inventories, and power market analytics, serving over 10,000 organizations worldwide.

📋 Description

• 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

• Inclusive and diverse work environment • Supportive colleagues and clients • Opportunities for personal and professional growth