Data Engineer

• Data Analysis: Ability to analyse datasets, identify trends, validate data quality, and support business reporting requirements.
• Palantir Foundry: Working knowledge of Code Repositories, Fusion Sheets, Datasets, SQL Studio, Ontology, AIP, and branching/version control practices.
• Ontology & OSDK Development: Experience designing and consuming Ontology objects, developing OSDK-based applications, validating business rules and data quality checks before writing updates back to Ontology objects.
• Data Engineering Principles: Understanding of data pipelines, ETL/ELT processes, data modelling, data quality, performance optimisation, and engineering best practices.
• DevOps & CI/CD: Experience with deployment processes, automation, testing, release management, and environment promotion.
• Git: Proficiency in source control, branching strategies, pull requests, code reviews, and collaborative development.
• Microsoft Office: Competent in Word and Excel for documentation, analysis, reporting, and stakeholder communication.
• Problem Solving & Troubleshooting: Ability to investigate data issues, perform root cause analysis, and implement effective solutions.
• Communication & Collaboration: Ability to work closely with business users, analysts, architects, and engineering teams to deliver high-quality data solutions.