Sr. AI & Data Engineer–Trading Analytics
ShellAbout the role
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What’s the role
Shell is seeking a Sr. AI & Data Engineer – Trading Analytics (also known internally as Data Engineering Lead) to join its team in Houston, TX. This role is ideal for an AI Engineer with a strong foundation in data engineering who can design and deliver AI-driven front-office analytics and GenAI/agentic solutions, collaborating closely with traders and trading analysts.
Shell Trading & Supply is one of the world’s leading energy and commodity trading organizations, operating across crude, refined products, gas, LNG, power, and environmental products. Trading sits at the heart of Shell’s energy transition, requiring rapid, data‑driven decision making under complex market conditions. Within Trading & Supply, the Crude & Products business plays a critical commercial role, operating in highly regulated, fast‑moving markets where high‑quality analytics, data engineering, and AI are key competitive differentiators. Our focus is to deliver secure, reliable, and trader‑centric digital solutions that simplify workflows, enhance insight, and drive commercial value without compromising risk, safety, or controls.
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.
Accountabilities:
Front‑Office Analytics & Insight
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
What you bring
Must have legal authorization t
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