Data Engineer III- Python & AWS

Location: GLASGOW, LANARKSHIRE, United Kingdom

Job Family: Software Engineering

About the Role

JPMorgan Chase & Co. is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. We operate in more than 60 countries, creating innovative solutions that support the world's most important markets and help millions of people achieve their financial goals. In the International Private Bank (IPB), we provide personalized wealth management services to high-net-worth clients across the globe. As part of our ongoing Platform Modernisation initiative, we are seeking a talented Data Engineer III to join our Data Engineering team in Glasgow, Lanarkshire, United Kingdom. This role is pivotal in transforming legacy systems into a modern, cloud-native platform that enhances client experiences and operational efficiency in private banking. In this position, you will leverage your expertise in Python and AWS to design and implement robust data pipelines that handle complex financial datasets, including client portfolios, transaction histories, and market analytics. You will work closely with software engineers, data scientists, and business leaders to ensure seamless data flow across the IPB ecosystem, adhering to strict compliance standards such as those set by the FCA and global privacy regulations. Your contributions will directly impact our ability to deliver real-time insights and personalized services to international clients, driving innovation in wealth management. The ideal candidate thrives in a collaborative, agile environment and is passionate about using technology to solve real-world financial challenges. At JPMorgan Chase, we value diversity, inclusion, and continuous learning, offering opportunities to grow your career in one of the world's most respected financial institutions. Join us to be at the forefront of platform modernization and make a meaningful difference in the lives of our clients.

Key Responsibilities

• Design, build, and maintain scalable data pipelines using Python and AWS services to support the IPB Platform Modernisation project
• Collaborate with cross-functional teams including data scientists, analysts, and business stakeholders to define data requirements for private banking applications
• Implement ETL processes to ingest, transform, and store financial data securely in compliance with regulatory standards
• Optimize data workflows for performance and cost-efficiency on AWS cloud infrastructure
• Develop and deploy machine learning models or data processing scripts to enhance client insights in international private banking
• Ensure data quality, integrity, and security while handling sensitive financial information
• Participate in code reviews, testing, and debugging to maintain high standards of software reliability
• Contribute to agile ceremonies, including sprint planning and retrospectives, to drive project delivery
• Monitor and troubleshoot data engineering systems to minimize downtime in production environments
• Stay updated on emerging technologies and recommend innovations to improve the IPB platform

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field
• Minimum of 5 years of professional experience in data engineering or software development
• Proficiency in Python programming with experience in data processing libraries such as Pandas and NumPy
• Hands-on experience with AWS cloud services including EC2, S3, Lambda, and Glue
• Strong understanding of data pipelines, ETL processes, and relational databases like SQL Server or PostgreSQL
• Experience working in agile environments with version control systems like Git
• Ability to obtain necessary regulatory clearances for financial services roles

Preferred Qualifications

• Advanced degree (Master's or PhD) in a quantitative field
• Experience in the financial services industry, particularly in private banking or wealth management
• Familiarity with big data technologies such as Apache Spark or Kafka
• Certifications in AWS (e.g., AWS Certified Data Analytics - Specialty) or Python
• Prior involvement in platform modernization projects involving legacy system migration

Required Skills

• Python programming expertise
• AWS cloud architecture and services
• Data pipeline development
• ETL tools and processes
• SQL and database management
• Agile methodologies
• Version control with Git
• Problem-solving and analytical thinking
• Collaboration and communication skills
• Attention to detail for data accuracy
• Knowledge of financial regulations (e.g., GDPR, SOX)
• Big data handling with Spark or similar
• Scripting for automation
• Time management in fast-paced environments
• Adaptability to evolving project needs

Benefits

• Competitive base salary and performance-based annual bonuses
• Comprehensive health, dental, and vision insurance coverage
• Generous retirement savings plan with company matching contributions
• Paid time off including vacation, sick days, and parental leave
• Professional development opportunities with access to training and certifications
• Employee stock purchase plan and financial wellness programs
• Flexible hybrid work arrangements and wellness stipends
• Global mobility support for career growth within JP Morgan Chase

JP Morgan Chase is an equal opportunity employer.