The Team:
We are building the analytical backbone of a company that believes decisions should be powered by clarity, not guesswork. Our Business Intelligence team builds on top of a data platform that has to be there every morning - healthy, current, and trusted.

Making that happen takes a core data engineer who owns the operational reliability of our platform end-to-end. Someone the rest of the team can count on to keep the lights on, catch issues before they become incidents, and push the platform forward with us rather than just holding it in place.

Your Role:
This is a core data engineering role. You own the operational health of our data platform, and you keep making it better.

Your working hours - 5am-2pm CEST - put you in a timezone that naturally overlaps with our overnight processing window. That means overnight maintenance, failed jobs, and quality incidents land inside your normal working day, not at 5am in your bed. You catch them, fix them, and hand over a healthy platform before the European team logs on.





We're looking for someone experienced enough to operate independently. You don't need a ticket telling you something is broken - you can read logs, trace through SQL and Python, and figure out what happened. You care about data quality as a craft, and you have the confidence to walk up to a data owner and say "this feed is wrong, here's why, and here's what we should do about it."

This isn't a greenfield architecture role. The platform exists, but it is a long way from finished. Roughly half the job is keeping it healthy; the other half is leaving it better than you found it - new source domains modelled properly, quality gates where there are none today, slow queries made quick. Keeping the lights on is the floor here, not the ceiling.

How We Work:
A large share of what we build is AI-assisted, and some of it is AI-generated. Claude Code, MCP servers, and LLM tooling are part of the daily toolchain across BI, internal tooling, and data pre-proce

📌 Data Engineer (India)
🏢 JobLeads
📍 India