Your Role: As a Data Engineer at Malou, you will play a crucial role in building and maintaining a robust data infrastructure that supports all facets of our business.
What You’ll Do:
Designing, building, and maintaining our data pipelines and infrastructure to ensure efficient and reliable data ingestion and processing.
Collaborating with the Tech team (Engineering and Data Science) and the Product team to make data accessible and actionable across Malou.
Monitoring and troubleshooting our data systems to ensure maximum uptime and performance.
Creating a unified data environment that becomes the single source of truth for the company.
Leading the selection and implementation of a suitable BI tool to cater to the evolving needs of Malou teams.
Additional Responsibilities:
Assist our Chief Product Officer (CPO) in recruiting, mentoring, and integrating junior data profiles in the future.
Ensure that data-oriented roles and projects within our Product domain are in sync and moving forward.
Our Tech Stack:
Data sources and tracking : Python, Heap, Retool, Airtable, Jimo, Hubspot, Pennylane, Hyperline
Back-End: Node.js
Infrastructure: AWS, MongoDB
3 to 7 years of experience.
You specialize in Data Science / Machine Learning / Data Engineering / Data Analysis
You worked on projects on one (or more) of these domains : Generative AI, Photo and Video Generation and Analysis, Revenue Prediction, Marketing Mix Modeling …
You already have initial experience in natural language processing algorithms.
You are meticulous and structured.
You possess an analytical mindset and a strong sense of synthesis.
You are drawn to the Food industry, and you have a zest for life: you enjoy eating, and in our wildest dreams, you can whip up some culinary wonders 🍪 (we’ll let you taste ours, promise).
You are eager to join a young, dynamic team in a rapidly growing startup 🚀.
A case study assessment
An interview with Waad, CPO, and co-founder and a member of the tech team
A final meeting with Victor, CTO and a member of the product team
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