Kpler

Data Engineer – Dry Bulk Commodities

Kpler

full-time

Posted on:

Location Type: Hybrid

Location: London • United Kingdom

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Tech Stack

Python

About the role

  • 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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Pythondata analysisdata transformationdata queryingCLI toolsdata pipelinesautomated checksmonitoring systemsdata quality interventionsdata anomaly detection
Soft Skills
problem-solvinginitiativeownershipcollaborationcommunicationadaptabilitydocumentationlearning mindsetefficiency focuspractical solution delivery