Data Platform Engineer at Expana building scalable data systems and automating workflows for global commodity data. Join our fast-growing team in data engineering to drive impact from day one.
Responsibilities
Develop and enhance Expana’s data platform and self‑service capabilities.
Build and maintain reliable data pipelines, including automated ingestion and web scraping.
Optimise cloud infrastructure (Azure preferred) and ensure platform stability.
Create automation that streamlines workflows and reduces manual effort.
Embed strong security and compliance practices.
Monitor, troubleshoot, and continuously improve data systems.
Collaborate with data scientists, analytics engineers, and analysts to deliver scalable solutions.
Requirements
Experience with Azure, AWS, or GCP.
Strong programming skills, ideally in Python.
Familiarity with modern data engineering tools and CI/CD workflows.
A structured, reliable approach to testing, automation, and system design.
Clear communication skills and the ability to work independently on complex projects.
Adaptability, curiosity, and a drive to improve systems and processes.
Bonus: Experience with web scraping and automated data ingestion.
Degree in Computer Science, Engineering, Mathematics, or equivalent experience.
Proven experience delivering data engineering projects end‑to‑end.
Benefits
High‑impact work in a fast‑growing environment.
Ownership, autonomy, and the chance to shape platform direction.
A collaborative culture that values engineering excellence.
Agile working model allowing for remote work and occasional travel to offices.
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