Data/AI Engineer supporting innovations in corporate travel with AWS technologies at HRS Group. Collaborating with data teams to develop AI solutions and maintain data pipelines.
About the role
- AI Engineer developing AI-driven analytics for trading at Deloitte. Focusing on scalable data pipelines and collaboration with traders for actionable insights.
Responsibilities
- Design and deliver AI-driven analytics for front-office use, including forecasting, seasonality, correlation, regression, and scenario modelling
- Build scalable, reusable data pipelines using Databricks (PySpark/Spark, Delta, Unity Catalog), optimizing performance, cost, and reliability
- Develop real-time and near real-time data solutions to support trading and reporting needs
- Translate complex trading problems into prototypes and MVPs, iterating rapidly based on feedback
- Partner closely with traders and analysts to understand requirements and communicate insights effectively
- Implement LLM and agent-based workflows (prompt engineering, orchestration, retrieval, tool usage, and guardrails)
- Perform statistical and econometric analysis on large-scale time-series datasets
- Productionize solutions with robust testing, observability, CI/CD pipelines, and documentation
- Enable reporting and data access via tools such as Power BI and similar platforms
Requirements
- Strong hands-on experience with Databricks and Spark (PySpark, SQL, Delta Lake, Unity Catalog)
- Proven data engineering expertise (data ingestion, modelling, orchestration, performance tuning)
- Solid foundation in statistics, econometrics, or data science—particularly with market time-series data
- Experience building AI/ML and LLM-based solutions (prompting, retrieval, agent workflows)
- Proficiency in Python and modern data/ML tooling (e.g., MLflow, feature stores, vector databases)
- Familiarity with CI/CD, Terraform, and production-grade engineering practices
- Excellent communication and stakeholder management skills, with the ability to work directly with front-office users
Benefits
- Hybrid model with close collaboration alongside trading teams
- Fast-paced, iterative delivery: prototype quickly, refine with users, and scale to production
- Strong focus on engineering excellence, including automated testing, governance, and operational reliability
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
AS
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