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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. AI & Data Engineer-Trading Analytics - **Company:** ROYAL DUTCH SHELL PLC - **Location:** Houston, TX, United States - **Experience:** Expert - **Salary:** $149,000.0 - $223,000.0 - **Contract:** Permanent contract - **Skills:** Unity 3d, Artificial Intelligence, Data Analysis, Automation of Tests, BASIC (Programming Language), Continuous Integration, Information Engineering, Data Governance, Decision Support Systems, DevOps, Performance Tuning, Rapid Prototyping Process, Software Deployment, SQL Databases, Management of Software Versions, Large Language Models, Multi-Agent Systems, Prompt Engineering, Apache Spark, Generative AI, Git, Data Lakes, Pyspark, Git Flow, Data Lineage, Machine Learning Operations, Data Pipelines, Databricks - **Published:** June 12, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=f379cc52c6dc1b7b ## About the Role * Must have legal authorization to work in the US on a full-time basis for anyone other than current employer * Bachelor's degree or equivalent relevant years of experience * At least 10 years of relevant experience * Hands-on experience with Databricks and/or Spark (PySpark, SQL, Delta Lake; Unity Catalog desirable) * Proven data engineering skills, including pipeline development, data modelling, and performance optimization * Solid foundation in statistics, econometrics, or data science, with experience applying these techniques to time-series or market-style datasets * Practical experience building or contributing to LLM-based solutions, including prompt engineering and retrieval-based approaches * Familiarity with GenAI frameworks and tooling (e.g., LangGraph or similar orchestration patterns) * Experience working in collaborative engineering teams using Git and CI/CD pipelines * Strong communication skills and the ability to work directly with analysts, traders, and other business stakeholders Additional Preferred Qualifications * Exposure to commodity or financial trading environments * Understanding of market fundamentals, supply-demand dynamics, or risk concepts * Experience with MLflow, feature stores, or vector databases * Familiarity with working in regulated or risk-sensitive environments ## Description As a Sr. AI & Data Engineer in Trading Analytics, you will work directly with front-office teams to design, build, and productionize AI-driven analytics over market pricing and fundamental data. You will combine Databricks-based data engineering, statistical and econometric techniques, and modern GenAI/agentic workflows to deliver insight at speed. This is a hands-on individual contributor role with a strong bias toward practical delivery. You will operate in a high-touch, hybrid model, iterating rapidly with users on-desk, while engineering solutions to production-grade standards using modern CI/CD and governance practices. Also, this role is rapid prototyping, iterative learning, and incremental production hardening, balanced with adherence to engineering, security, and governance frameworks to maintain speed and reliability., * Design, build, and deliver AI-driven analytics for traders and analysts, including seasonality analysis, correlation studies, regression models, forecasting, and scenario modelling over market pricing and fundamentals data * Work closely with traders and analysts to translate ambiguous business questions into clear analytical problem statements and working solutions * Clearly communicate analytical outputs and AI-generated insights to commercial stakeholders in a concise and actionable manner Data Engineering & Platforms * Build and maintain scalable, reusable data pipelines on Databricks using PySpark/Spark, SQL, Delta Lake, and Unity Catalog * Support ingestion, modelling, and transformation of large-scale time-series pricing and fundamentals datasets * Optimize pipelines for performance, reliability, and cost efficiency, following platform and data governance standards AI, GenAI & Agentic Solutions * Build and enhance GenAI and agent-based solutions to support trading analytics, including: + Retrieval-Augmented Generation (RAG) + Prompt engineering + Agent orchestration using frameworks such as LangGraph + Tool calling and guardrails * Integrate LLM-based workflows with structured trading and market data to augment analysis, insight generation, and decision support * Prototype solutions quickly, gather user feedback, and help harden selected use cases for production deployment Production, Quality & Operations * Contribute to production-ready analytics and AI solutions with testing, documentation, versioning, and basic observability * Follow established CI/CD and DevOps practices, including use of Git-based workflows and automated testing * Support governance requirements such as PII handling, data lineage, and auditability in line with Trading & Supply standards ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Data Science, ML & AI in the Oil and Gas Industry at NDT Global - Dr. Katja Träumner](https://www.wearedevelopers.com/videos/1308-data-science-ml-ai-in-the-oil-and-gas-industry-at-ndt-global-dr-katja-traumner) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Best Companies in the Netherlands: Top 25 Companies in 2023 ](https://www.wearedevelopers.com/magazine/193-best-companies-in-the-netherlands-top-25-companies-in-2023) - [Software Developer Salary in The Netherlands [2023]](https://www.wearedevelopers.com/magazine/217-software-developer-salary-in-the-netherlands-2023) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)