Data Engineer building analytical tools for Dry Bulk market data operations at Kpler. Join a team of over 700 experts transforming data into actionable strategies.
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
Inclusive and diverse work environment
Supportive colleagues and clients
Opportunities for personal and professional growth
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