Data Platform Engineer – Data Operations

Role Overview

The Data Operations team owns the entire data lifecycle behind STARK’s AI stack: collection, acquisition, generation, curation, and management. The team is scaling up right now: real scope, direct impact, no legacy. You will build the engine that makes data usable by owning the software backbone of our data platform: metadata systems, ETL pipelines, data contracts, catalogs, databases, and internal tools.

What You Will Do

Design, implement, and maintain our metadata database and data catalog, build and operate ETL/ingest pipelines, own the data management and labeling lifecycle, develop internal enabling tools, run data migrations and indexing jobs, handle admin support and user access management, and establish good engineering hygiene.

Why It Might Be a Fit

You will be comfortable coordinating with external vendors and non-technical stakeholders, and have experience with data modeling and metadata systems, ETL/data pipelines, object storage, and software engineering hygiene.

Requirements

• Strong Python
• Solid SQL/PostgreSQL, including schema design
• Experience with data modeling and metadata systems
• Experience designing and operating ETL/data pipelines
• Hands-on with object storage (GCS, S3, or similar)
• Good software engineering hygiene: tests, docs, typing, logging

Benefits

• Security clearance required due to the nature of our work in the defence sector
• Equal opportunity employer committed to fostering a diverse and inclusive workplace