Software Engineer III - Data Engineer - Python, SQL - Senior Associate

J.P. MORGAN; London; On-site; GBP 60,000 - 90,000; Full time

Job summary

J.P. Morgan is seeking a Software Engineer III to join their Investment Banking team in London. This role involves designing and delivering technology products, executing software solutions, and enhancing digital capabilities. Candidates should have strong skills in Python and SQL, with experience in data engineering and system design. This position offers the chance to work within an agile team and contribute to innovative projects.

Qualifications

• Advanced experience in Data Engineering using Python and SQL.
• Hands-on experience in system design and application development.
• Proficiency in coding in one or more programming languages.

Responsibilities

• Execute software solutions and troubleshoot technical issues.
• Produce architecture and design artifacts for complex applications.
• Build and maintain scalable data pipelines for processing.

Skills

Data Engineering

Python

SQL

System Design

Agile Methodologies

Education

Formal training or certification in software engineering

Tools

AWS

Terraform

Job description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorgan Chase within Investment Banking, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Transaction Development is a centralised hub that generates buyer intelligence on Mid-Cap sponsors for JPM sell-sides, by leveraging deep knowledge of Sponsor investment strategies.

In order to execute at scale, a newly created technology team is embarking on a multi-year journey to provide enhanced digital capabilities to enable Transaction Development to take full advantage of the deep client relationships we have across GB and scaling proprietary idea generation.

Job responsibilities

1. Execute software solutions, design, develop, and troubleshoot technical issues with the ability to think beyond routine approaches to build solutions or analyze problems.
2. Create secure, high-quality production code and maintain algorithms that synchronize with relevant systems.
3. Produce architecture and design artifacts for complex applications, ensuring design constraints are met through software development.
4. Gather, analyze, synthesize, and develop visualizations and reports from large, diverse data sets to improve software applications and systems.
5. Identify hidden problems and patterns in data proactively, using insights to improve coding hygiene and system architecture.
6. Contribute to software engineering communities of practice and explore emerging technologies.
7. Promote a team culture of diversity, equity, inclusion, and respect.
8. Build and maintain scalable data pipelines for batch and near real-time processing.
9. Optimize data workflows for performance, cost, and reliability.

Required qualifications, capabilities, and skills

1. Formal training or certification in software engineering concepts, with advanced experience in Data Engineering using Python and SQL.
2. Hands-on experience in system design, application development, testing, and operational stability.
3. Proficiency in coding in one or more programming languages.
4. Experience in developing, debugging, and maintaining code within a large corporate environment, utilizing modern programming and database querying languages.
5. Knowledge of the Software Development Life Cycle.
6. Understanding of agile methodologies such as CI/CD, application resiliency, and security.
7. Practical cloud-native experience.
8. Knowledge of software applications and technical processes in disciplines like cloud, AI, ML, or mobile development.
9. Strong skills in Python and SQL.
10. Understanding of ETL best practices, data partitioning, and schema evolution.
11. Experience with data modeling, large-scale datasets, data lake architecture, and data warehousing.

Preferred qualifications, capabilities, and skills

1. Experience with AWS services like EC2, S3, IAM, CloudWatch.
2. Experience with Infrastructure as Code tools such as Terraform.
3. Experience working in Agile/Scrum teams.