Data Engineer (Defence, Security and Aerospace)

Spyrosoft is a software engineering company established in 2016, recognized as one of the fastest growing technology companies in Europe in 2021 and 2022 by the Financial Times. The company specializes in technology solutions for industry 4.0, automotive, geospatial, healthcare & life sciences, employee experience & education, and financial services industries.

• Strong experience with SQL or similar query languages
• Hands-on experience with BI tools (Power BI, Qlik, Looker, Tableau)
• Experience with ETL / ELT processes
• Solid knowledge of data modeling and optimisation techniques
• Understanding of data quality management and KPI monitoring
• Experience in scripting for automation (SQL, Python, or Scala)
• Experience working across the full data analytics lifecycle
• Strong communication skills and ability to work with business stakeholders
• Fluent Polish (C2/native) and English (B2/C1)

Additional Requirements (Defence Projects):

• Experience working with on-premise environments
• Willingness to undergo security clearance procedures (up to NATO Secret / Tajne)
• Willingness to complete required checks for working with defence-related technologies

Nice to Have:

• Experience with cloud-based data platforms (AWS, Azure, GCP)
• Knowledge of data warehouse / data lake architectures
• Experience in public sector, defence, or security projects
• Familiarity with NATO / STANAG standards
• Experience working with large-scale data platforms
• Proactive mindset and willingness to grow

• Design, develop, and optimise BI and data analytics solutions
• Participate in the full data lifecycle: ingestion, transformation, modeling, and visualisation
• Build and maintain ETL / ELT data pipelines
• Develop and optimise data models (e.g. Analysis Services, LookML, or similar)
• Work with large datasets, ensuring data quality, consistency, and availability
• Automate data workflows using SQL, Python, or Scala
• Monitor data quality and KPI metrics
• Collaborate with business stakeholders to gather and translate requirements
• Deliver data-driven insights supporting decision-making
• Support development of data infrastructure and processing environments (including on-premise systems)

Willingness to undergo security clearance procedures (up to NATO Secret / Tajne) and complete required checks for working with defence-related technologies.