Chowdeck is a technology company that provides logistics services to both vendors and consumers. This potentially allows food vendors to deliver meals seamlessly while also providing consumers with an easy platform to order meals from their favourite restaurants in their city.
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We're looking for an experienced Data Engineer to help build and scale the data infrastructure that powers decision-making across Chowdeck.
You'll work closely with Product, Operations, Finance, and Engineering teams to design and maintain reliable data pipelines, improve data accessibility, and help build systems that support analytics, reporting, forecasting, and operational insights across the business.
We're looking for articulate people who are curious, empathetic, and kind and are looking to continue to grow their careers at a fast-growing tech startup that cares deeply about personal and professional development.
In this role, you'll be required to:
Design, build, and maintain scalable data pipelines and workflows
Improve the reliability, quality, and accessibility of data across the organization
Build and optimize data warehouse architecture and data models
Collaborate with Product, Operations, and Data teams to support reporting and analytics needs
Improve observability, monitoring, and governance practices across data systems
Optimize large-scale data processing and query performance
Support machine learning and experimentation workflows with reliable datasets and pipelines
Help define data engineering standards, tooling, and best practices
You're perfect for the role if you:
Have 6+ years of experience building and maintaining production-grade data systems
Have advanced SQL skills and strong experience with Python or similar languages
Have experience working with modern data stack technologies and cloud platforms
Can design scalable and reliable ETL/ELT pipelines
Can think through operational and business problems using data-driven approaches
Care deeply about data quality, reliability, and performance
Can communicate effectively with both technical and non-technical stakeholders
Thrive in fast-paced environments with evolving priorities and ambiguity
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