Implementation Engineer

Altimi is a technology acceleration partner with impressive experience spanning over 20 years, specializing in the successful delivery of software development projects for international customers. We are based in Poland. Our main area of operation is the DACH region and Scandinavia, where we are known for providing top-notch software development services. Our primary focus are managed services for companies seeking to accelerate growth, solve complex tech problems, build MVP/POC and/or modify legacy infrastructures. The main area of competence include Product & Application Engineering, DevOps, Cloud Security & Managed Services and AI & Data Enablement.  

Project Description:The project focuses on the integration of leading data and AI platforms into an insurance delivery framework to create a unified, data-driven, and AI-enabled insurance operations platform.

Requirements: 

Soft Skills:

• Stakeholder management

• Strong communication with technical and non-technical users

• Business and product thinking

• User empathy

• Ability to work in ambiguous environments

• High ownership and accountability• Comfort working under pressure 

 Must Have:

• 2–3+ years of hands-on experience with Palantir Foundry, including proven production deployment and customer implementation cases

• Strong proficiency in Python, PySpark, and SQL; experience with Java or Scala is a plus

• Experience building and operating distributed data pipelines (Spark, large-scale ETL/ELT, data modelling)

• Experience integrating enterprise systems via REST APIs, JDBC, SFTP, and cloud data platforms• Experience with or strong understanding of AI-enabled applications, LLM workflows, and RAG systems

• Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, or a related technical field

• Certification: Palantir Certified Data Engineer or Application Developer is highly preferred

Responsibilities: 

•  Design and implement end-to-end data pipelines in Palantir Foundry• Integrate data from ERP, CRM, financial, operational, and external systems

• Build and maintain the Enterprise Ontology (Object Types, Link Types, Actions)

• Develop operational applications and dashboards using platform-specific tools

• Build AI-powered workflows using AI platforms (RAG, LLM agents, evaluations)

• Work directly with customer stakeholders (business, operations, IT, leadership)

• Translate business problems into data models, applications, and AI solutions

• Support production deployments, performance tuning, and scaling

Technology Stack:

• Palantir Foundry and AIP,

• Python,

• PySpark,

• SQL,

• Spark,

• REST/JDBC,

• industry-standard insurance software,

• cloud data platforms,

• AI/LLM systems,

• TypeScript,

• React 

  
  

What We Offer:

• MultiSport card

• LuxMed medical package

• Allianz group insurance

• Value-based work culture

• Flexible working hours and remote work options