Data Engineer - Dry Bulk Commodities
Team: Ags & Dry
Location: Athens
Commitment: Full-time
Workplace Type: hybrid
Your mission is to:
- 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
This could be a match if you have/are:
- 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
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