We are a small, focused team solving genuinely hard problems in web data collection, normalisation, and intelligence. We are not actively hiring right now — but if you are exceptional at what you do, we want to hear from you before a role opens up.
We hire slowly and deliberately. When we open a role, we usually already have someone in mind — often from our talent pipeline. Get on that list.
We do not have active job listings right now. But we hire regularly across engineering, data, and sales — and we almost always reach out to people already in our network first. Send us your profile and we will contact you when the right role appears.
We are not for everyone. If the things below excite you rather than concern you, we probably want to talk.
Our team is distributed across 12+ countries. We default to async communication — we write things down, trust people to manage their own time, and do not measure effort by hours on camera.
At DataGators, roles are defined by outcomes — not job descriptions. Engineers own full pipelines from scraper to delivery. Sales owns the full client relationship. No hand-holding, no micromanagement.
We work on genuinely difficult engineering challenges: large-scale web crawling, anti-bot evasion, natural language extraction, data normalisation at scale, and geospatial intelligence pipelines.
We benchmark compensation to global talent markets — not local cost-of-living adjustments. Senior hires get equity. All team members get a hardware budget, learning allowance, and unlimited leave.
DataGators has grown 4× in three years without external funding. The problems we are solving are getting bigger — not smaller. You will not run out of interesting work here.
We are a small team that moves fast. There are no committees, no politics, and no quarterly planning cycles that produce nothing. If you have a good idea, you ship it.
We are not hiring now — but these are the functions where we expect to open roles in the next 12 months. Send your profile with the team you are interested in.
Python, Scrapy, Playwright, distributed crawling, anti-bot evasion, pipeline orchestration (Airflow / Prefect), and large-scale data normalisation. If you have built scrapers that handle millions of requests per day, we want to hear from you.
Entity extraction, product matching, address normalisation, price prediction, and classification at scale. We apply ML to make messy web data clean and structured — this is applied ML, not research.
Building the intelligence layer on top of raw listing data — designing schemas, computing market metrics, building APIs, and making data genuinely useful to our clients rather than just technically correct.
We serve large clients in PropTech, FMCG, financial services, and retail. We are looking for consultative sellers who understand data and can speak credibly to technical and business buyers alike.
Email careers@datagators.com — or use the contact form and mention which team you are interested in. Include a brief note on what you have built or sold that you are most proud of.
We review every profile we receive. If there is no current role match, we file your details and reach out when something relevant opens — typically within 3–6 months.
When a role becomes relevant, we schedule a 30-minute intro call — no slides, no prep required. We want to understand your thinking, not your ability to prepare for an interview.
Our hiring process is two to three conversations maximum. We do not do take-home assignments that take more than two hours. We make decisions quickly and communicate every step.
No open positions today — but we hire regularly and almost always from our talent pipeline first. Get on our radar before the role appears.
Join 1,200+ companies using DataGators to outmaneuver the competition. Get a free, no-obligation data consultation — delivered within 24 hours.