Lead Data Engineer - Python, Pyspark & AWS

Lead Data Engineer – Python, PySpark & AWS

Join to apply for the Lead Data Engineer – Python, PySpark & AWS role at JPMorgan

Chase.

We invite you to shape the future of payments technology and regulatory reporting. You will work with cutting‑edge cloud platforms and data engineering tools, making a real impact on our business and your career growth. We value your expertise, encourage your ideas, and foster a culture of innovation and collaboration. At JPMorgan Chase we support diversity, inclusion, and continuous learning.

As a Lead Data Engineer in the Payments Technology Regulatory Reporting team, you will design and deliver secure, scalable cloud technology products. You will collaborate with agile teams to create solutions that support business objectives and drive continuous improvement. Your work will span multiple technical areas, enabling you to contribute to team and firm‑wide goals. You will help foster a culture of inclusion, respect, and opportunity while advancing your skills.

• Execute software solutions, design, development, and technical troubleshooting.
• Create secure, high‑quality production code and maintain efficient algorithms.
• Produce architecture and design artifacts for complex applications.
• Gather, analyze, and synthesize data to develop visualizations and reporting.
• Identify hidden problems and patterns in data to drive system improvements.
• Work individually or as part of a distributed team to deliver projects on time.
• Contribute to software engineering communities and explore emerging technologies.
• Promote a team culture of diversity, inclusion, and respect.

• Hands‑on experience in system design, application development, testing, and operational stability.
• Proficiency in Python, PySpark, Databricks, or similar data engineering platforms.
• Experience with both relational and No
  
  SQL databases.
• Knowledge across the data lifecycle.
• Ability to develop, debug, and maintain code in large corporate environments.
• Understanding of the Software Development Life Cycle.
• Familiarity with agile methodologies, including CI/CD, application resiliency, and security.
• Demonstrated knowledge of software applications and technical processes within disciplines such as cloud, AI, machine learning, or mobile.

• Exposure to cloud technologies including Databricks, AWS MSK, EC2, EKS, S3, RDS, and Lambdas.
• Experience with payment domain streaming systems.
• Familiarity with payment regulatory reporting.

We offer a competitive total rewards package, including base salary, commission‑based pay, discretionary incentive compensation, and a range of benefits such as comprehensive health care coverage, on‑site health and wellness centers, retirement savings, backup childcare, tuition reimbursement, mental health support, financial coaching, and more.

We recognize that our people are our strength and that diverse talents directly contribute to our success. We are an equal‑opportunity employer and do not discriminate on the basis of any protected attribute. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, and mental health or physical disability needs.

• Not Applicable

• Full‑time

• Information Technology

• Glasgow, Scotland, United Kingdom
• Erskine, Scotland, United Kingdom
• Renfrew, Scotland, United Kingdom