AI Engineer (Trading Analytics & Data Engineering)

• Location: Den Haag
• Duration: 31 December 2026
• MUST BE BASED IN THE NETHERLANDS

We're hiring an AI Engineer with a strong data engineering foundation and excellent communication skills-ideally with commodity or financial trading experience. You'll partner with traders and trading analysts to rapidly build AI‑powered analytics over market pricing and fundamentals data, using Databricks and Spark to deliver value at speed.

The AI Engineer will be responsible for:

• Design and ship AI‑driven analytics for front‑office use (seasonality, correlation, regression, forecasting, scenario modelling).
• Build reusable and scalable data pipelines in Databricks (PySpark/Spark, Delta/Unity Catalog), optimizing cost, reliability, and performance.
• Run statistical/econometric analyses on large datasets (e.g., market & fundamental time series data).
• Collaborate directly with traders/analysts-translate ambiguous questions into shippable solutions; communicate insights clearly.
• Implement LLM/agentic workflows: prompt engineering, LangGraph orchestration, MCP integrations, tool calling, retrieval, and guardrails.
• Productionize solutions with testing, observability, versioning, and documentation.

The AI Engineer will ideally have the following skills:

• Hands‑on Databricks + Spark expertise (PySpark, SQL, Delta, Unity Catalog). Proven data engineering skills (ingestion, modelling, orchestration, performance tuning).
• Strong statistics/economics/data science fundamentals for market time‑series.
• Experience building LLM solutions (prompting, retrieval, agent flows; LangGraph, MCP) and integrating with trading data/services.
• Experience with CI/CD, Terraform, MLflow/feature stores, vector DBs, and governance (PII handling, data lineage).
• Excellent stakeholder skills; able to work on‑desk with traders/analysts and deliver fast.
• Background in commodity or financial trading.
• Familiarity with market microstructure, supply demand fundamentals, risk management.
• Ways of working
• Hybrid; high touch collaboration with trading teams.
• Bias to prototype fast, iterate with users, and harden to production.
• Maintain operational stability of production pipelines using secure, modern CI/CD engineering practices - with automated testing, quality gates, and built in reliability across development, security, and operations

If the above role interests you, please apply, send your most up-to-date CV or call me for more information about this position

Kevin Lindijer