Data Platform Engineer – Data Operations (all genders)

<br><strong>About Us</strong><p><p style="line-height:2.0568;margin-top:9pt;margin-bottom:0pt;"><span style="font-size:10.5pt;font-family:Arial, sans-serif;color:#292a2e;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;">STARK is a new kind of defence technology company revolutionizing the way autonomous systems are deployed across multiple domains. We design, develop and manufacture high-performance unmanned systems that are software-defined, mass-scalable, and cost-effective. This provides our operators with a decisive edge in highly contested environments.</span></p><p style="line-height:2.0568;margin-top:9pt;margin-bottom:0pt;"><span style="font-size:10.5pt;font-family:Arial, sans-serif;color:#292a2e;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;">We're focused on delivering deployable, high-performance systems — not future promises. In a time of rising threats, STARK is bolstering the technological edge of NATO Allies and their Partners to deter aggression and defend Europe — today.</span></p></p><br><strong>About the team</strong><p><p style="line-height:2.0568;margin-top:9pt;margin-bottom:0pt;"><span style="font-size:10.5pt;font-family:Arial, sans-serif;color:#292a2e;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;">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.</span></p></p><br><strong>Your mission</strong><p><span style="font-size:10.5pt;font-family:Arial, sans-serif;color:#292a2e;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;">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. Today, much of this is manual, </span><span style="font-size:10.5pt;font-family:Arial, sans-serif;color:#292a2e;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;">scattered, or implicit — your job is to automate it away, support labeling efforts with the right data tooling, and turn operational data into reliable systems.</span></p><br><strong>Responsibilities</strong><p><ul style="margin-top:0;margin-bottom:0;"><li style="list-style-type:disc;font-size:10.5pt;font-family:Arial, sans-serif;color:#292a2e;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;"><p style="line-height:1.38;margin-top:9pt;margin-bottom:0pt;"><span style="font-size:10.5pt;font-family:Arial, sans-serif;color:#292a2e;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;">Design, implement, and maintain our metadata database and data catalog (datasets, recordings, sensors, labels, lineage)</span></p></li><li style="list-style-type:disc;font-size:10.5pt;font-family:Arial, sans-serif;color:#292a2e;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;"><p style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span style="font-size:10.5pt;font-family:Arial, sans-serif;color:#292a2e;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;">Build and operate ETL/ingest pipelines that bring field recordings, synthetic data, and external deliveries into our cloud storage (GCP)</span></p></li><li style="list-style-type:disc;font-size:10.5pt;font-family:Arial, sans-serif;color:#292a2e;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;"><p style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span style="font-size:10.5pt;font-family:Arial, sans-serif;color:#292a2e;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;">Own the data management and labeling lifecycle end-to-end: coordinate and communicate with external labeling companies and data subcontractors, track deliveries, run QA reports, and build the operational workflows they work in</span></p></li><li style="list-style-type:disc;font-size:10.5pt;font-family:Arial, sans-serif;color:#292a2e;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;"><p style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span style="font-size:10.5pt;font-family:Arial, sans-serif;color:#292a2e;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;">Develop internal enabling tools for the whole AI organization: dataset search and filtering, APIs/backend, dashboards, and self-service data access</span></p></li><li style="list-style-type:disc;font-size:10.5pt;font-family:Arial, sans-serif;color:#292a2e;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;"><p style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span style="font-size:10.5pt;font-family:Arial, sans-serif;color:#292a2e;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;">Run data migrations and indexing jobs; keep the catalog consistent and fast as data volume grows</span></p></li><li style="list-style-type:disc;font-size:10.5pt;font-family:Arial, sans-serif;color:#292a2e;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;"><p style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span style="font-size:10.5pt;font-family:Arial, sans-serif;color:#292a2e;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;">Handle admin support and user access management — and then automate these support tasks so they stop being manual work</span></p></li><li style="list-style-type:disc;font-size:10.5pt;font-family:Arial, sans-serif;color:#292a2e;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;"><p style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span style="font-size:10.5pt;font-family:Arial, sans-serif;color:#292a2e;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;">Establish good engineering hygiene in a young codebase: tests, typing, docs, logging, CI/CD</span></p></li><li style="list-style-type:disc;font-size:10.5pt;font-family:Arial, sans-serif;color:#292a2e;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;"><p style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span style="font-size:10.5pt;font-family:Arial, sans-serif;color:#292a2e;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;">Shape the long-term architecture and vision of the data platform together with the team</span></p></li></ul></p><br><strong>Qualifications</strong><p><ul style="margin-top:0;margin-bottom:0;"><li style="list-style-type:disc;font-size:10.5pt;font-family:Arial, sans-serif;color:#292a2e;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;"><p style="line-height:1.38;margin-top:9pt;margin-bottom:0pt;"><span style="font-size:10.5pt;font-family:Arial, sans-serif;color:#292a2e;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;">Strong Python</span></p></li><li style="list-style-type:disc;font-size:10.5pt;font-family:Arial, sans-serif;color:#292a2e;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;"><p style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span style="font-size:10.5pt;font-family:Arial, sans-serif;color:#292a2e;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;">Solid SQL/PostgreSQL, including schema design</span></p></li><li style="list-style-type:disc;font-size:10.5pt;font-family:Arial, sans-serif;color:#292a2e;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;"><p style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span style="font-size:10.5pt;font-family:Arial, sans-serif;color:#292a2e;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;">Experience with data modeling and metadata systems</span></p></li><li style="list-style-type:disc;font-size:10.5pt;font-family:Arial, sans-serif;color:#292a2e;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;"><p style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span style="font-size:10.5pt;font-family:Arial, sans-serif;color:#292a2e;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;">Experience designing and operating ETL/data pipelines</span></p></li><li style="list-style-type:disc;font-size:10.5pt;font-family:Arial, sans-serif;color:#292a2e;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;"><p style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span style="font-size:10.5pt;font-family:Arial, sans-serif;color:#292a2e;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;">Docker and CI/CD basics</span></p></li><li style="list-style-type:disc;font-size:10.5pt;font-family:Arial, sans-serif;color:#292a2e;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;"><p style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span style="font-size:10.5pt;font-family:Arial, sans-serif;color:#292a2e;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;">Hands-on with object storage (GCS, S3, or similar)</span></p></li><li style="list-style-type:disc;font-size:10.5pt;font-family:Arial, sans-serif;color:#292a2e;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;"><p style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span style="font-size:10.5pt;font-family:Arial, sans-serif;color:#292a2e;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;">Good software engineering hygiene: tests, docs, typing, logging</span></p></li><li style="list-style-type:disc;font-size:10.5pt;font-family:Arial, sans-serif;color:#292a2e;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;"><p style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span style="font-size:10.5pt;font-family:Arial, sans-serif;color:#292a2e;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;">Organized and pragmatic: you can prioritize between a quick fix and a proper solution, and you know when each is right</span></p></li><li style="list-style-type:disc;font-size:10.5pt;font-family:Arial, sans-serif;color:#292a2e;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;"><p style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span style="font-size:10.5pt;font-family:Arial, sans-serif;color:#292a2e;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;">Not allergic to support tasks — but technical enough to automate the support away</span></p></li><li style="list-style-type:disc;font-size:10.5pt;font-family:Arial, sans-serif;color:#292a2e;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;"><p style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span style="font-size:10.5pt;font-family:Arial, sans-serif;color:#292a2e;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;">Comfortable coordinating with external vendors and non-technical stakeholders</span></p></li></ul></p><br><strong>Nice to have</strong><p><ul style="margin-top:0;margin-bottom:0;"><li style="list-style-type:disc;font-size:10.5pt;font-family:Arial, sans-serif;color:#292a2e;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;"><p style="line-height:1.38;margin-top:9pt;margin-bottom:0pt;"><span style="font-size:10.5pt;font-family:Arial, sans-serif;color:#292a2e;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;">Familiarity with ML datasets and labeling workflows (images, video, lidar; annotation formats like COCO)</span></p></li><li style="list-style-type:disc;font-size:10.5pt;font-family:Arial, sans-serif;color:#292a2e;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;"><p style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span style="font-size:10.5pt;font-family:Arial, sans-serif;color:#292a2e;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;">Experience with synthetic data generation or GenAI-assisted data workflows (auto-labeling, data augmentation, foundation-model-based curation)</span></p></li><li style="list-style-type:disc;font-size:10.5pt;font-family:Arial, sans-serif;color:#292a2e;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;"><p style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span style="font-size:10.5pt;font-family:Arial, sans-serif;color:#292a2e;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;">Experience with GCP services beyond storage (BigQuery, Cloud Run, IAM)</span></p></li><li style="list-style-type:disc;font-size:10.5pt;font-family:Arial, sans-serif;color:#292a2e;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;"><p style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span style="font-size:10.5pt;font-family:Arial, sans-serif;color:#292a2e;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;">Experience with data versioning / dataset tooling (DVC, LakeFS, FiftyOne, or similar)</span></p></li><li style="list-style-type:disc;font-size:10.5pt;font-family:Arial, sans-serif;color:#292a2e;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;"><p style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span style="font-size:10.5pt;font-family:Arial, sans-serif;color:#292a2e;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;">Experience in a startup environment — comfortable with ambiguity and changing priorities</span></p></li><li style="list-style-type:disc;font-size:10.5pt;font-family:Arial, sans-serif;color:#292a2e;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;"><p style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span style="font-size:10.5pt;font-family:Arial, sans-serif;color:#292a2e;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;">Exposure to robotics data formats (ROS bags, MCAP, PX4 logs)</span></p></li></ul></p><p>Find <a href="https://www.arbeitnow.com">Jobs in Germany</a> on Arbeitnow</a>