Data Platform Engineer – Data Operations (all genders)

<div class="content-intro"><p><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">At Stark, we forge the future of European and national security through cutting-edge, AI-driven technology and unmatched engineering precision. As a premier defence technology company, our mission is clear: to equip NATO Allies and their partners &nbsp;with next-generation autonomous defence platforms and advanced AI-driven software built to perform in the world’s most demanding environments.</span></p> <p><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">We believe that true security stems from relentless innovation. By combining elite engineering talent with agile technology and an AI-native operational culture, Stark turns complex defence challenges into field-tested, multi-domain solutions.</span><br><br></p> <p><span style="font-size: 12pt;"><strong><span style="font-family: helvetica, arial, sans-serif;">WHY JOIN US</span></strong></span></p> <ul> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">The software and systems you work on directly protect personnel and defend European and national sovereignty.</span></li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">You will work alongside industry-leading minds on autonomous systems, advanced propulsion, and secure cyber platforms.</span></li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">We foster a fast-paced, collaborative environment where bold ideas are supported by serious R&amp;D backing.</span></li> </ul></div><p><strong>ABOUT THE TEAM</strong></p> <p>The Data Operations team owns the entire data lifecycle behind STARK's AI stack: collection, acquisition, generation, curation, and management. We run our own data-collection campaigns across Europe, evaluate new sensors and platforms, and build the internal data platform that turns raw recordings into ready-to-use datasets. Everything we produce feeds directly into the perception and autonomy systems deployed on STARK's platforms — a real data advantage is built, not bought. The team is scaling up right now: real scope, direct impact, no legacy.</p> <p><strong>YOUR MISSION</strong></p> <p>Data is the fuel of STARK’s AI stack - you build the engine that makes it usable. You own the software backbone of our data platform: the metadata systems, ETL pipelines, data contracts, catalogs, databases, and internal tools that let engineers find, understand, validate, and reuse terabytes of multi-sensor field data in minutes, not days. You treat data context as a product: structured, searchable, version-aware, documented, and traceable from raw recording to processed asset, annotation delivery, dataset, and downstream ML workflow. Success in this role requires seamless cross-functional collaboration—acting as the central hub between the teams collecting data in the field, our external annotation vendors, and the ML engineers training the models. Your job is to design the automated workflows and data tooling that unify these groups, transforming raw operational data into reliable, high-quality systems at scale.</p> <p><strong>WHAT YOU WILL DO AT STARK</strong></p> <ul> <li><strong>Build the Data Backbone:</strong> Design, write, and maintain robust Python software and ETL pipelines that ingest, process, and merge complex field recordings (flight data, rosbags, video) and external deliveries into our GCP cloud storage.</li> <li><strong>Create Data Tooling:</strong> Build the programmatic tools that bridge raw data and downstream usage. This includes writing services to automatically sub-sample video feeds, extract valuable frames, package datasets, and build self-serve data access tools.</li> <li><strong>Database &amp; Metadata Engineering:</strong> Design, implement, and maintain our metadata databases and data catalogs (tracking datasets, recordings, sensors, labels, and lineage) using solid SQL and schema design principles.</li> <li><strong>Data Operations &amp; Labeling Workflows:</strong> Own the end-to-end technical workflows for data curation and labeling. You will build the operational tooling and coordinate with external labeling subcontractors to ensure high-quality data deliveries, track progress, and run automated QA.</li> <li><strong>Internal Tooling &amp; APIs:</strong> Develop backend APIs, self-service dashboards, and data-access tools that allow the entire AI and engineering organization to quickly search, filter, and understand terabytes of multi-sensor data.</li> <li><strong>Drive Engineering Excellence:</strong> Establish and enforce good software engineering hygiene in a young codebase: rigorous testing, typing, documentation, logging, and CI/CD pipelines.</li> <li><strong>G…