Senior Data Engineer (AI/LLM, RAG)

TL;DR

Senior Data Engineer (AI/LLM, RAG): Turning ambiguous business questions into feasible analytics solutions inside Wholesale Banking Advanced Analytics (WBAA) Discovery, with an accent on end-to-end delivery from problem framing and data feasibility to rapid PoCs and prototype handover. Focus on integrating LLM-based RAG patterns, building scalable data pipelines, and deploying production-minded cloud solutions while staying aligned with banking standards for risk, privacy, security, and model governance.

Company

hirify.global runs Wholesale Banking Advanced Analytics Discovery to define and validate high-impact AI opportunities for ING’s Wholesale Bank.

What you will do

• Translate stakeholder business questions into analytics and AI solution directions, including problem framing and feasibility assessments.
• Explore data quickly to evaluate availability/quality, constraints, and expected business impact.
• Build rapid proofs of concept and prototypes, then produce clear recommendations and handover packages for build teams.
• Implement AI integration using LLMs with retrieval-augmented generation (RAG), prompt design/evaluation, and vector database usage.
• Develop scalable data pipelines and optimize data processing (e.g., Spark, Airflow, partitioning, incremental loads, performance tuning).
• Design and deploy cloud solutions with CI/CD, containerization (Docker), infrastructure-as-code (Terraform), and production-minded practices (testing, monitoring/observability, reliability).

Requirements

• Strong Python programming proficiency.
• Proven experience integrating AI with LLMs (e.g., Gemini, Claude), including RAG patterns, prompt design/evaluation, and vector databases.
• Strong data engineering skills: building scalable pipelines and optimizing data processing (Spark, Airflow, partitioning, incremental loads, performance tuning).
• Experience building rapid prototypes/PoCs and converting outcomes into actionable recommendations.
• Experience designing and deploying cloud solutions, including CI/CD, Docker, and infrastructure-as-code (Terraform).
• Comfort working with ambiguity and evolving priorities while managing stakeholders and communicating complex topics to technical and non-technical audiences.

Nice to have

• ML model training/validation and experiment tracking experience.
• GCP expertise.
• Experience with Kubernetes/OpenShift and/or agentic frameworks (ADK, LangChain, LangGraph, CrewAI).
• Experience in regulated environments.
• Basic understanding of Java/Kotlin for connectivity to internal systems.

Culture & Benefits

• Hybrid working model.
• 25–28 vacation days depending on contract, plus pension scheme.
• 13th month salary and 8% holiday payment.
• Focus on personal growth, challenging work, and an informal environment with innovative colleagues.
• Emphasis on agile principles balanced with compliance, quality, and reliable service.

Hiring process

• Multiple interview steps with various business stakeholders as part of the selection process.
• Submit CV and motivation letter via the Apply button.

Location: Amsterdam (CDR), Netherlands