
Data Engineer – Dry Bulk Commodities
Kpler
full-time
Posted on:
Location Type: Hybrid
Location: Germany
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Tech Stack
About the role
- Build tools and analytical capabilities for data integrity in cargo tracking data
- Create scripts, CLI utilities, and web-based UIs that empower analysts to perform data quality interventions
- Query and analyse substantial datasets to surface insights and identify data quality issues
- Work alongside software engineers to improve the overall quality of tracking systems
- Understand day-to-day challenges analysts face and translate those into technical solutions
- Create clear documentation for tools and processes to ensure knowledge sharing
- Develop automated checks and monitoring systems that flag data anomalies
- Rapidly test new approaches to data quality challenges
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
- Fair, inclusive and diverse work-environment
- Supportive colleagues and clients with a friendly approach
- Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data integritydata qualitydata analysisPythonCLI toolsautomated checksdata transformationAPI integrationlarge datasetsdata monitoring
Soft Skills
problem-solvinginitiativecollaborationcommunicationdocumentationadaptabilityownershippractical solution deliverymultidisciplinary teamworktechnical translation