Senior Python Engineer to Build Continuous Marketplace Scraper + Data Platform + Dashboard

We are building an internal market intelligence system.

I am looking for a senior Python engineer / data engineer to build a functioning internal system, not just a one-time scrape or spreadsheet export.

The goal is to build a platform that continuously collects marketplace listings, structures the data, tracks listing changes over time, and makes everything available inside a usable internal dashboard / CRM.

Scope:

• scrape marketplace listings
• store raw data in a structured PostgreSQL database
• normalize key fields
• track listing lifecycle over time
• build a basic internal dashboard / CRM for review and operations

The system should capture raw listing data such as:

• title
• description
• price
• mileage or equivalent numeric field
• location
• source URL
• images if available
• seller type if available

The system should also normalize fields such as:

• brand/category
• model/item type
• variant/trim if detectable
• year
• mileage or equivalent usage field
• price
• transmission / fuel type or similar structured attributes if relevant
• condition indicators if detectable
• service history or equivalent maintenance indicators if detectable
• confidence score for extracted fields when relevant

The system should revisit listings and track:

• first seen
• last seen
• price

changes

• active / removed / stale status
• historical snapshots

A basic internal dashboard / CRM is required.

It should allow us to:

• log in and access the system
• view listings in a table
• search and filter records
• open a listing detail page
• see raw data and normalized fields
• see price / status history
• review and manually correct low-confidence fields when needed

Important:

I am not looking for:

• a one-time scrape
• a CSV / Excel-only delivery
• a simple script with no database
• a mockup with no working backend

I am looking for a functioning MVP system that includes:

• scraper
• structured database
• backend logic
• internal dashboard / CRM

Preferred stack:

• Python
• Playwright or Selenium
• PostgreSQL
• FastAPI / Django or similar backend
• simple internal dashboard frontend
• Docker is a plus

If you believe the full scope should be split into phases, that is completely fine. Please explain what you would realistically deliver first.

When applying, please include:

• similar scraping / data pipeline / dashboard systems you have built
• your proposed architecture / tech stack
• what exactly you would deliver in the first version
• estimated timeline

Please do not apply if your delivery would only be a basic scrape export. I specifically need a structured system that can be expanded into a full internal data platform.

Contract duration of 1 to 3 months.

Mandatory skills:

Python, Web Scraping, PostgreSQL, Data Engineering