Sr. AI & Data Engineer–Trading Analytics

Shell seeks a Senior AI & Data Engineer, Trading Analytics, in Houston, TX (hybrid) to design and deliver AI driven front office analytics and GenAI/agent based solutions for trading.

Responsibilities

• Design, implement, and deploy AI driven analytics for traders and analysts, including seasonality analyses, correlation studies, regression models, forecasting, and scenario modeling over market pricing and fundamentals data
• Collaborate with traders and analysts to convert vague business questions into well defined analytical problems and practical solutions
• Present analytical outputs and AI generated insights to commercial stakeholders in a concise, actionable format
• 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 in line with platform and data governance standards
• Develop 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 harden selected use cases for production deployment
• Contribute to production ready analytics and AI solutions with testing, documentation, versioning, and basic observability
• Adhere to CI/CD and DevOps practices, including Git based workflows and automated testing
• Support governance requirements such as PII handling, data lineage, and auditability in line with Trading & Supply standards

Requirements

• Must have legal authorization to work in the US on a full-time basis for anyone other than the 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
• Strong 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

Technologies

• Databricks
• PySpark
• Spark
• SQL
• Delta Lake
• Unity Catalog
• LangGraph

Benefits

• Medical coverage
• Dental coverage
• Vision coverage
• Life Insurance
• Business Travel Accident Insurance
• Occupational Accidental Death Benefit
• Company pension plan
• 401(k) plan
• Paid vacation time (up to 6 weeks)
• Paid holidays (up to 11)
• Parental leave (16 weeks birthing; 8 weeks non-birthing)
• Short-term disability leave (up to 26 weeks at 100% or 50%)
• Long-Term Disability insurance
• Financial reimbursement for adoption, wellness, education, and personal learning expenses
• Discretionary long-term incentives

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