Palantir Foundry Data Engineer

Luxoft; Ferrara; In loco; EUR 75.000 - 95.000; Tempo pieno

Descrizione del lavoro

A leading technology solutions provider is seeking a Palantir Foundry & AIP Engineer in Ferrara, Italy. You will design, build, and operationalize AI-powered workflows to drive business outcomes. The ideal candidate has over 10 years of experience in data and AI engineering, with specific expertise in the Palantir Foundry ecosystem. This role also involves collaboration with stakeholders and ensuring high-quality data governance practices. Offers a flexible work schedule.

Servizi

Flexible work schedule

Competenze

• 10+ years of overall experience as a Data and AI Engineer.
• 2+ years of experience with the Palantir Foundry ecosystem.
• Strong technical skills in Python, PySpark, SQL, and data modelling.
• Experience using or supporting AIP features like RAG workflows.
• Ability to engage directly with non-technical business users.

Mansioni

• Design, develop, and maintain scalable pipelines within Palantir Foundry.
• Support design and deployment of AIP use cases.
• Work with stakeholders to capture requirements and design solutions.
• Provide training for business teams adopting Foundry and AIP.
• Ensure solutions meet data quality and governance standards.

Conoscenze

Data and AI Engineering

Palantir Foundry ecosystem

Python

PySpark

SQL

Data modelling

Problem-solving

Descrizione del lavoro

Project description

We are seeking a Palantir Foundry & AIP Engineer with hands‑on experience across the full Foundry ecosystem and Palantir's Artificial Intelligence Platform (AIP). This role goes beyond data engineering: you will design, build, and operationalize AI‑powered workflows, agents, and applications that drive tangible business outcomes. The ideal candidate is a self‑starter, able to translate complex business needs into scalable technical solutions, and confident working directly with stakeholders to maximize the value of Foundry and AIP.

Responsibilities

Data & Workflow Engineering: Design, develop, and maintain scalable pipelines, transformations, and applications within Palantir Foundry.

AIP & AI Enablement

Support the design and deployment of AIP use cases such as copilots, retrieval workflows, and decision‑support agents.

Ground agents and logic flows using RAG (retrieval‑augmented generation) by connecting to relevant data sources, embedding / vector search, ontology content.

Use Ontology‑Augmented Generation (OAG) when needed: operational decision making where logic, data, actions and relationships are embedded in the ontology.

Collaborate with senior engineers on agent design, instructions, and evaluation using AIP's native features.

End‑to‑End Delivery

Work with stakeholders to capture requirements, design solutions, and deliver working applications.

User Engagement

Provide training and support for business teams adopting Foundry and AIP.

Governance & Trust

Ensure solutions meet standards for data quality, governance, and responsible use of AI.

Continuous Improvement: Identify opportunities to expand AIP adoption and improve workflow automation.

Skills

Must have

Required Qualifications

• 10+ years of overall experience as a Data and AI Engineer;
• 2+ years of professional experience with the Palantir Foundry ecosystem (data integration, ontology, pipelines, applications).
• Strong technical skills in Python, PySpark, SQL, and data modelling.
• Practical experience using or supporting AIP features such as RAG workflows, copilots, or agent‑based applications.
• Ability to work independently and engage directly with non‑technical business users.
• Strong problem‑solving mindset and ownership of delivery.

Preferred Qualifications

• Familiarity with AIP Agent Studio concepts (agents, instructions, tools, testing).
• Exposure to AIP Evals and evaluation / test‑driven approaches.
• Experience with integration patterns (APIs, MCP, cloud services).
• Consulting or applied AI / ML background.
• Experience in Abu Dhabi or the broader MENA region.

Benefits

We offer numerous benefits such as :

• ⏰ Flexible work schedule