We're looking for a hands-on data engineer ready to grow their career. Join the ranks of top talent at one of the world's most influential companies.

As a Applied AI ML Associate Senior -Data Engineer at JPMorgan Chase within the International Private Bank (IPB) Technology Artificial Intelligence and Machine Learning (AIML) Team, you will build and maintain the data pipelines and platforms that our agentic AI and machine learning products run on. Working alongside senior engineers, you will develop data ingestion, transformation, and quality checks so the team's models and applications are fed timely, well-governed, model-ready data across international markets.

This is a Senior Associate-level role and an integral part of the IPB Tech AIML team, reporting to the AIML Team Lead.

Job Responsibilities

Builds and maintains scalable data pipelines and feature stores supporting the team's AI/ML products, from source systems through to production
Implements data quality, validation, and monitoring so downstream models and applications can trust their inputs
Structures and models data for retrieval-augmented generation, feature engineering, and analytics workloads
Partners with AI engineers to productionise data flows for agentic AI and ML use cases
Applies data access, privacy, and residency controls to firm-wide and cross-border regulatory standards
Contributes to design discussions and code reviews, growing towards greater technical ownership
Uses AI coding tools (e.g., Claude Code, GitHub Copilot) as part of day-to-day development

Required qualifications, capabilities, and skills

Formal training or certification on software or data engineering concepts and 3+ years applied experience
Proficiency in Python and SQL, and familiarity with modern software engineering practices (testing, code review, version control)
Hands-on experience building and maintaining data pipelines and ETL/ELT workflows
Exposure to distributed data processing and platforms such as Spark / Databricks
Working knowledge of cloud-native data services, containerisation, and CI/CD
Understanding of data modelling and warehousing concepts
Ability to communicate clearly with engineers, data scientists, and stakeholders
BSc in Computer Science, Data Engineering, or a related quantitative field

Preferred qualifications, capabilities, and skills

Industry-recognised data engineering certification (e.g., AWS Certified Data Engineer - Associate (DEA-C01), or similar)
Exposure to data foundations for ML / LLM workloads (feature stores, vector stores, RAG pipelines)
Exposure to financial services, particularly wealth, private banking, or asset management
Familiarity with data governance, lineage, and privacy tooling
Familiarity with JPM-internal data and AI/ML infrastructure for internal candidates

Applied AI ML Associate Senior-Data Engineer