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# Forward Deployed Engineer

- **Company:** EPAM Systems, Inc.
- **Location:** Amsterdam, Netherlands
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Automation of Tests, Microsoft Azure, Continuous Integration, Information Engineering, Data Infrastructure, DevOps, Distributed Systems, Identity and Access Management, Software Engineering, Cloud Platform System, Retrieval-Augmented Generation, Large Language Models, Generative AI, Containerization, Kubernetes, Production Code, Data Programming, Databricks
- **Published:** October 20, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=2f652f1e7c2de29d

## About the Role

* Data software engineering experience and expertise, with knowledge of the current technology landscape
 * Experience designing and building data-intensive systems, APIs, services, pipelines or distributed applications
 * Practical experience with at least one major cloud platform, preferably GCP, Azure or AWS
 * Understanding of modern engineering practices including automated testing, CI/CD, observability, security, identity and access management, and production operations
 * Experience directing coding agents through spec-driven development in data engineering
 * Working knowledge of the full data lifecycle: ingestion, modeling, transformation, quality, governance and consumption
 * Experience using modern AI coding tools or agents as part of professional software development, with the judgment to validate their output and use them safely
 * Demonstrated experience working directly with clients and business stakeholders
 * Ability to take an incompletely defined problem and independently drive it toward a working solution

Nice to have

 * Dutch language proficiency, particularly for engagements with Dutch public-sector organizations or locally oriented enterprises
 * Experience designing or deploying LLM/GenAI applications, including retrieval-augmented generation, agents, tool use, structured outputs and evaluation
 * Familiarity with modern data platforms such as Databricks or comparable technologies
 * Experience with containerization, Kubernetes and infrastructure-as-code
 * Experience in regulated environments such as financial services, government, healthcare or critical infrastructure
 * Experience leading workshops, discovery sessions or technical client engagements
 * Experience mentoring engineers or acting as technical lead for multidisciplinary or distributed teams
 * Experience creating reusable engineering assets, accelerators, reference architectures or internal developer platforms

## Description

* Work directly with clients and users to understand business and system challenges, identify problems, and define technical approaches
 * Design architectures, write and review production code, and integrate with existing systems
 * Build data-intensive systems, APIs, services, pipelines or distributed applications
 * Lead technical discussions, explain trade-offs to senior stakeholders and make credible engineering decisions
 * Direct coding agents through spec-driven development in data engineering contexts
 * Apply modern engineering practices including automated testing, CI/CD, observability, security, identity and access management, and production operations
 * Reason about end-to-end systems, not just individual components
 * Create leverage by providing technical direction, splitting work between onsite and remote teams, and removing ambiguity and blockers
 * Enable distributed, multi-cultural engineering teams to deliver effectively
 * Work regularly from client locations in the Netherlands and communicate clearly with technical and non-technical audiences