AI-Augmented Data Engineer

Overview

• Design, build, and maintain robust data pipelines
• Model data for analytics, BI, AI, and self-service use cases
• Build Bronze, Silver, Gold, Semantic Layer, and Exposition Layer data models
• Transform complex business problems into simple, durable, and scalable data products
• Contribute to reactivity, freshness, and near-real-time data needs
• Implement a complete Tech Flow based on an “as-code everywhere” approach
• Improve the quality, performance, governance, and observability of data pipelines

Requirements

• At least 4 years of solid experience in a demanding data, analytics, BI engineering, or software engineering environment with a strong data focus
• Strong experience with modern Data Engineering or Analytics Engineering practices
• Technically curious, creative, and constantly learning
• Demand for quality, performance, scalability, and maintainability
• Ability to transform unclear business needs into clear and reliable data solutions
• Comfortable working in autonomous squads and cloud environments
• Enjoy automation, knowledge sharing, and continuous improvement
• Understand the value of product-oriented data engineering
• Excited by AI-augmented ways of working and already use AI tools to improve productivity and delivery quality
• Fluent in English

Hard Skills

• Data Engineering
• Business Intelligence
• Data Transformation
• Data Governance
• Data Performance Optimization
• Scalable Data Products
• Tech Flow Implementation
• Data Observability
• Self-Service Analytics
• Product-Oriented Data Engineering

Soft Skills

• Technical Curiosity
• Creativity
• Continuous Improvement
• Knowledge Sharing
• Autonomous Work