Data Software Engineer II

JPMorgan Chase & Co.; Glasgow; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading global financial services firm is seeking a Data Software Engineer II to join their agile Corporate Technology team in Glasgow. This role involves designing, developing, and troubleshooting secure, scalable software solutions. Candidates should have hands-on experience with modern programming languages and data engineering concepts, along with a solid understanding of Software Development Life Cycle practices. The position emphasizes collaboration in a diverse team culture while facilitating personal career growth.

Qualifications

• Hands-on experience in application development and operational stability.
• Experience in code development and debugging in a corporate environment.
• Understanding of the Software Development Life Cycle.

Responsibilities

• Execute software solutions and application development.
• Write secure and high-quality code in at least one programming language.
• Analyze large data sets to aid decision-making in application development.

Skills

Secure coding

Data analysis

Troubleshooting

Agile methodologies

System design

Education

Formal training in data engineering

Certification on data engineering concepts

Tools

Java

Python

Tableau

AWS

Job description

You’re ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you.

As a Data Software Engineer II at JPMorgan Chase within Corporate Technology, you will be part of an agile team dedicated to enhancing, designing, and delivering the software components of the firm’s cutting‑edge technology products in a secure, stable, and scalable manner. As a developing member of the software engineering team, you will implement software solutions through the design, development, and technical troubleshooting of various components within a technical product, application, or system, while acquiring the skills and experience necessary to advance in your role.

Job responsibilities

• Executes standard software solutions, design, development, and technical troubleshooting
• Writes secure and high‑quality code using the syntax of at least one programming language with limited guidance
• Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
• Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
• Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity
• Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision‑making in service of secure, stable application development
• Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems
• Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on data engineering concepts and expanding applied experience
• Hands‑on practical experience in system design, application development, testing, and operational stability
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Demonstrable ability to code in one or more languages
• Experience across the whole Software Development Life Cycle
• Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security
• Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence etc.)

Preferred qualifications, capabilities, and skills

• Proven experience using Java, Python
• Familiarity with modern front‑end technologies
• Familiarity with reporting technologies - tableau, alteryx
• Exposure to cloud technologies - AWS, Databricks
• Exposure to data engineering concepts and experience using big data technologies - Hadoop, hive, hdfs etc.