Senior Data Engineer, AI

About the role

We are seeking a Senior Data Engineer with AI expertise to join our team and work on a high‑impact project for an insurance client. The role bridges data‑science experimentation and production‑grade systems, turning AI models and prompts into reliable, scalable solutions that fit business workflows.

Key responsibilities

• Design and implement AI workflows that combine models, prompts, enterprise data, tools and business logic.
• Develop and maintain prompt‑engineering strategies, including versioning, testing and optimisation.
• Build orchestration layers for multi‑step reasoning, decisioning and action execution.
• Integrate AI capabilities into enterprise systems, APIs and user interfaces while applying guardrails for safety and compliance.
• Create and operate production‑grade AI deployment pipelines ensuring reliability, scalability, latency optimisation and cost efficiency.
• Implement monitoring, observability and drift detection for AI services.
• Establish change‑control, versioning, rollback and release‑management practices.
• Collaborate with data scientists, actuaries and business stakeholders to validate model behaviour and outputs.

Required profile

• 3+ years of experience in data engineering or AI engineering.
• Strong knowledge of MLOps practices and tools.
• Proficiency in machine‑learning concepts and model lifecycle management.
• Advanced programming skills in Python.
• Hands‑on experience with generative‑AI development and prompt engineering.
• Solid understanding of SQL and data manipulation.
• Experience integrating AI into enterprise systems and APIs.
• Familiarity with monitoring, observability and AI governance.
• Excellent communication skills in English (B2 level or higher).

Required skills

• Python
• SQL
• MLOps tools
• Generative AI
• Prompt engineering
• API integration
• Monitoring and observability
• AI governance
• Apache Spark / PySpark (nice to have)

What we offer

• Innovative projects for industry leaders with global impact.
• Flexible work environment – office or home.
• Opportunities to work abroad up to two months per year.
• Relocation possibilities across 55+ countries.
• Leadership development, career advising and well‑being programs.
• Certification support for GCP, Azure and AWS.
• Unlimited access to internal learning resources.