Data Engineer III

Testing Site - JPMC; Lower Blandford St Mary; On-site; GBP 60,000 - 90,000; Full time

Job summary

JPMorgan Chase’s Cash Management team is seeking a Data Engineer III to design, build, and maintain scalable data pipelines powering predictive models and liquidity insights. You will work with data scientists and business stakeholders to move data securely, ensure quality, and deliver actionable findings across systems, using Python, SQL, Spark and Airflow.

This role emphasizes independence in a fast-paced environment and strong communication to document processes and share knowledge across

Qualifications

• Proven experience in designing and building data pipelines (ETL/ELT) using Python, SQL, Spark and Airflow.
• Strong analytical skills to interpret complex data and deliver business value.
• Experience integrating data from multiple sources and systems.
• Familiarity with cloud data platforms and big data technologies.

Responsibilities

• Design, implement, and maintain scalable data pipelines for collecting, transforming, and delivering data across systems.
• Ensure data quality, reliability, and timeliness throughout the pipeline.
• Develop solutions for securely and efficiently moving data between internal and external systems.
• Work with both structured and unstructured data sources.
• Analyze large datasets to extract actionable insights and present findings in a business-friendly format.
• Collaborate with data scientists and business stakeholders to identify opportunities for impactful analysis.
• Provide clean, well-structured data to support predictive models and algorithms for cash forecasting and fund movement.
• Work closely with product, engineering, and business teams to understand requirements and deliver solutions.
• Document processes and share knowledge with team members.

Skills

ETL/ELT pipelines

Python

SQL

Spark

Airflow

Cloud platforms

Data analysis

Communication

Tools

AWS

Azure

GCP

Job description

Our Cash Management team ensures the bank has the right money in the right place at the right time. We leverage advanced algorithms to predict cash flows and proactively move funds, optimizing liquidity and supporting critical business operations.

As a Data Engineer III at JPMorgan Chase as a part of the Cash Management team, you will be responsible for designing, building, and maintaining robust data pipelines that power our predictive algorithms and business insights.

Job Responsibilities

• Design, implement, and maintain scalable data pipelines for collecting, transforming, and delivering data across systems
• Ensure data quality, reliability, and timeliness throughout the pipeline
• Develop solutions for securely and efficiently moving data between internal and external systems
• Work with both structured and unstructured data sources
• Analyze large datasets to extract actionable insights and present findings in a business-friendly format
• Collaborate with data scientists and business stakeholders to identify opportunities for impactful analysis
• Provide clean, well-structured data to support predictive models and algorithms for cash forecasting and fund movement
• Work closely with product, engineering, and business teams to understand requirements and deliver solutions
• Document processes and share knowledge with team members

Required qualifications, capabilities and skills

• Proven experience in designing and building data pipelines (ETL/ELT) using modern technologies (e.g., Python, SQL, Spark, Airflow, etc.).
• Strong analytical skills with the ability to interpret complex data and deliver business value.
• Experience integrating data from multiple sources and systems.
• Familiarity with cloud data platforms (e.g., AWS, Azure, GCP) and big data technologies.
• Ability to work independently and collaboratively in a fast-paced environment.
• Excellent communication and documentation skills.

Preferred Qualifications

• Awareness or experience with financial concepts, especially in banking or cash management.
• Experience supporting predictive analytics or machine learning workflows.
• Knowledge of data governance, security, and compliance in financial services.