Lead Forward-Deployed Engineer (Data Integration)

We're looking for aLead Forward-Deployed Engineer (Data Integration) to join our team in Lausanne, Switzerland in a hybrid working mode. In this role, you will be instrumental in designing and delivering AI-native integration solutions for a major European energy trading client. The position provides an opportunity to work on high-impact initiatives involving rapid prototyping, data integration and solution architecture. Working with advanced integration tools and alongside client stakeholders, you will help drive transformative outcomes and strengthen strategic partnerships.

Responsibilities

• Lead client engagement on high-priority integration challenges
• Scope AI-assisted integration prototypes
• Build and iterate on data integration, ingestion and transformation prototypes using MuleSoft process APIs, Fivetran and dbt
• Define and validate technical feasibility and architecture for innovative integration approaches
• Lead hardening and transition of validated prototypes into standard build workflows
• Act as a subject matter expert and senior escalation point for data integration technologies
• Serve as the primary technical liaison for client integration and AI-related initiatives
• Contribute reusable integration patterns and components to the AI Solution Engineering practice

Requirements

• Overall experience of six or more years, including three or more in integration engineering
• Experience of two or more years in forward-deployed or solution engineering roles
• Strong proficiency in API integration development
• Hands-on experience with Fivetran and dbt
• Experience with Mulesoft APIs
• Practical exposure to AI-assisted development or agent-based tooling
• Demonstrated client-facing technical leadership capability
• Familiarity with Anthropic Claude or Amazon Bedrock
• English proficiency at CEFR B2 level

Nice to have

• Experience with Amazon Bedrock AgentCore or LangChain-based frameworks
• Knowledge of Snowflake or ClickHouse
• Understanding of prompt engineering principles