STARK is a new kind of defence technology company revolutionising 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 — providing operators with a decisive edge in contested environments.

We are 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.

• Audit existing data flows across ERP, MES, and PLM - understand what exists, where it lives, and how it reaches reporting outputs
• Design a structured data storage and pipeline architecture - defining sources of truth, data models, and refresh cadences
• Build and maintain reliable data warehouse structure and pipelines to replace manual CSV exports and point-to-point connections
• Own data quality: define checks, document known issues, and ensure stakeholders can trust what they see

• Document data models, pipeline logic, and reporting definitions - no tribal knowledge dependencies

• Partner with the Operations Planning and Analytics Lead to translate operational questions into well-structured data products

• 3–5 years in data engineering, analytics engineering, or BI roles
• SQL (strong) - complex queries, performance optimisation, views and models
• ETL/ELT pipeline design and maintenance
• Data modelling — understanding of dimensional and relational models

• Comfortable with ambiguity in a build-from-scratch environment — no clean data model to inherit

• BSc in Computer Science, Data Science, Business Informatics, or equivalent

• Python or dbt for pipeline automation and data transformation

• ERP and/or MES system familiarity — understanding how operational data is structured at source

• Experience connecting heterogeneous operational systems (ERP, MES, PLM, or similar)