We design, build and fly every HyLighter, and turn its data into insight, all under one roof on a former airbase. Which means:
- You own it all the way. At a big aerospace company, you’d own a small piece of one subsystem. Here, you design it, test it, stand on the airfield when it flies, and see the client act on the data it brings back.
- Weeks, not years. Ideas go from whiteboard to flight test in weeks.
- Responsibility from day one. The founders’ average age is 27. Nobody here waits for permission.
We don’t care about titles or ticking every box. We care about what you build and the perspective you bring, so if your profile is different, apply anyway.
Job Summary
Every HyLighter flight produces a lot of data: LiDAR, imagery, methane data, etc. That data is what we turn into insights for our customers. Between the sensor and the customer insight reporting it goes through a long chain. It is captured by the payload, offloaded into a data upload system in our field trucks after each operation, uploaded to the cloud, ingested, and processed. Every link in that chain has to work, every time.
As a Data Engineer in the data team, you will own that chain from end to end. Your job has two halves:
- Run it. Make sure payloads are ops-ready before they fly, that the upload systems in the trucks work in the field, and that every byte captured lands correctly in our pipelines.
- Optimize it. Every block in the chain can be cheaper, faster, and more automated. Find where the time and money go, and cut them.
This is a generalist role at the core of HyLight. One day you're debugging a payload's data capture on the bench, the next you're cutting the cloud cost of a processing step in half. You don't need to know it all on day one. You need to be someone who pushes many topics forward and learns whatever the problem calls for.
Mission
Within the data team, working closely with the Head of Data and hand in hand with the operations and embedded teams, you will: