Aumni
Open positions
Lead AWS Cloud Engineer – Market Data Platform
Lead cloud engineer on JPMorgan Chase's Market Data Services team, building and operating AWS-based data infrastructure that distributes third-party market data across the bank, including for AI/ML initiatives. Day to day: designing, building, monitoring, and operating scalable data platforms in two-week Agile sprints with strong automation and security practices.
Lead Data Engineer
Join us as we embark on a journey of collaboration and innovation, where your unique skills and talents are valued and celebrated. At JPMorganChase, you'll help create a brighter future and make a meaningful difference…
Data Engineer III - Python, Databricks - Senior Associate
Data Engineer at JPMorgan Chase (Aumni) in London who designs and maintains secure, scalable ELT data pipelines and data models on an agile team. Day-to-day work centers on Python and Databricks workflows, SQL/NoSQL data work, AWS cloud services, data security entitlements, and CI/CD-backed testing.
Senior Lead Software and Data Engineer - Agentic Commerce
Senior Lead Engineer at JPMorganChase's Payments Technology group in London, setting technical direction and architecture for B2B agentic commerce — multi-agent systems, MLOps pipelines, and secure agent authorization. Hands-on with Python, LLM agent frameworks (LangGraph, MCP), Databricks/MLflow, and Kubernetes.
Software Engineer II - Data Engineering (Python/AWS)
Software Engineer II on JPMorganChase's Market Data Engineering team in Glasgow, designing, building, and operating secure, scalable ETL/ELT data pipelines and services on AWS (Glue, Aurora PostgreSQL, Databricks), primarily in Python, within an agile team.
Resiliency Data Products - Data Engineer Vice President
Data Engineer (VP level) on J.P. Morgan's Corporate Investment Bank Operational Resiliency team in London, building and operating production-grade data pipelines and governed data products to analyze technology recovery risk. Core stack includes SQL, Python, PostgreSQL/MySQL, MongoDB, and large-scale platforms like Spark/Hadoop.
Lead Data Platform Engineer (AWS + AI‑assisted)
Manager-level data platform role on JPMorgan Chase's Workforce Technology team in Dublin: leading data integration and scalable pipeline design on AWS, guiding AI-assisted engineering practices, and coordinating with product, integration, and QA teams in an enterprise environment.
Software Engineer III - Backend / Data Engineer - Java, Python, Databricks
Backend/data engineer (Software Engineer III) on JPMorgan Chase's Commercial & Investment Banking Emerging Markets team, based in Shoreditch, London. Day to day: designing and building secure Java/Spring Boot microservices, Python/Databricks ELT pipelines, and Kafka-driven event-driven systems on AWS within an agile team.
Senior Manager of Data Engineering
Leads teams of data engineers at JPMorgan Chase's Enterprise Platforms in Dublin, onboarding enterprise datasets onto the Palmos platform and delivering scalable, secure data pipelines with Databricks, Spark/PySpark, Python, SQL, and AWS, aligned to data mesh principles to power analytics, reporting, and AI/ML across the firm.
Lead Software Engineering - Java/Python - Risk Data Platform & Strategy
Join us and shape the future of risk technology with your expertise in data engineering and software development. You will have the opportunity to push boundaries, innovate, and make a meaningful impact on our…
Senior Data Engineer – AI Data Platforms (Python/Databricks)
JPMorganChase is seeking a Data Engineer to enhance data collection, storage, and analytics solutions across corporate tech. You will maintain critical data pipelines, collaborate with stakeholders, and support AI…
Data Engineer III - Python, Databricks, React
Join us as a Data Engineer and help drive data innovation at JPMorganChase. You will collaborate with talented colleagues to deliver impactful solutions that power AI and analytics initiatives across the firm. We value…
Lead Data Engineer - Python, Databricks
A lead data engineer role on JPMorganChase's Compute Infrastructure Platforms team in Glasgow: designing, building, and maintaining enterprise data pipelines and models with Python and Databricks, while owning data quality, backup/recovery, and access-control security for trusted analytics.
Lead Data Engineer: Python & Databricks Pipelines
Lead Data Engineer at J.P. Morgan's Glasgow office, designing, building, and maintaining scalable data pipelines and architectures that power enterprise analytics in agile teams. Core stack is Python, Databricks, and relational/NoSQL databases, with a strong focus on secure, reliable data solutions.
Senior Data Engineer — Python & Databricks
TwinThread is growing its data engineering team at JPMorgan Chase and seeks a skilled Data Engineer. In this role, you will develop ELT pipelines and workflows using Python and Databricks while ensuring data security…
Senior Data Engineer, Data Platform & Analytics
Design, build, and maintain scalable data pipelines and analytics solutions for a commercial and investment bank using Java/Spring, SQL, and Qlik Sense.
Data Engineer III
A Data Engineer III at JPMorgan Chase's Tech Risk & Controls Services team designs and delivers secure, stable, and scalable data solutions including data collection, storage, access, and analytics. The role involves developing and maintaining data pipelines using Qlik Sense, Java, Spring Boot, and SQL technologies while collaborating with software engineering teams.