Data Engineer | Specialist

Role Overview

Work at the intersection of Data Engineering and Artificial Intelligence, contributing to the modernization of legacy systems and data ecosystems through advanced, AI-driven solutions.

What You Will Do

Design and implement scalable data pipelines, build Generative AI solutions, and develop reusable accelerators and components aligned with enterprise data architecture standards.

Why It Might Be a Fit

Ideal for someone who thrives in innovation-driven environments and enjoys building reusable, impactful data solutions that shape enterprise-wide data strategy.

Requirements

• Strong technical expertise in Data Engineering combined with hands-on experience in Artificial Intelligence and Generative AI applied to complex data environments
• Proven experience applying Artificial Intelligence in Data Engineering, Software Engineering, or technical automation contexts
• Strong knowledge of Generative AI and Large Language Models (LLMs)
• Hands-on experience with AI agents, RAG architectures, prompt engineering, function calling, tool use, and automated AI workflows
• Experience with orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, CrewAI, or equivalent technologies
• Advanced programming skills in Python
• Strong experience with PySpark and Spark SQL in distributed data processing environments
• Solid knowledge of SQL (advanced level) for data manipulation and querying
• Experience building and maintaining scalable data pipelines in distributed architectures
• Familiarity with data formats such as XML, JSON, and YAML
• Knowledge of data modeling concepts and Data Warehouse architectures
• Hands-on experience working in Databricks environments

Benefits

• Competitive compensation aligned with market standards
• Remote-first or hybrid work flexibility (depending on project allocation)
• Access to cutting-edge AI, GenAI, and data engineering technologies
• Continuous learning and upskilling in modern data and AI ecosystems
• Collaborative and innovation-driven environment with global exposure
• Career development opportunities in advanced data and AI projects
• Participation in high-impact enterprise transformation initiatives
• Health and wellness benefits (as per partner company policy)