Software Engineer III - SQL/Database Developer

J.P. Morgan; Glasgow; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading financial services firm is seeking a Software Engineer III to join their Corporate Technology team. The selected candidate will work on software solutions that drive critical business objectives, utilizing agile practices and advanced programming skills. Ideal candidates will have formal training in software engineering, experience with big data technologies, and proficiency in coding across various platforms within a collaborative environment.

Qualifications

• Experience with big data technologies and performance optimization.
• Hands-on practical experience in system design and application development.
• Knowledge of CI/CD and security practices in software development.

Responsibilities

• Execute design, development, and troubleshooting of software solutions.
• Gather and analyze data to improve software applications.
• Contribute to team culture focused on diversity, equity, and inclusion.

Skills

SQL

ETL

PL/SQL

Unix

Shell scripting

Coding in multiple languages

Agile methodologies

Education

Formal training or certification in software engineering

Tools

Databricks

Oracle

Spark

HBase

Python

AWS technologies

Terraform

Airflow

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 in the Corporate Technology team, 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.

Job responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Contributes to software engineering communities of practice and events that explore new and emerging technologies
• Participate in regular standups and code reviews
• Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and applied experience with SQL, ETL, PL/SQL programming.
• Working knowledge of big data technologies and concepts.
• Hands-on practical experience in system design, application development, testing, and operational stability.
• Working knowledge of Unix and Shell scripting.
• Experience in resolving the data processing performance issues through improvements.
• Experience in projects with large data volumes, batch processing.
• Proficient in coding in one or more languages
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Overall knowledge of the Software Development Life Cycle
• Solid understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security, Jules, Jenkins, Git/Stash
• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Preferred qualifications, capabilities, and skills

• Knowledge in Databricks, Oracle, Spark, HBase
• Knowledge in Python Programming
• Knowledge in AWS technologies, Terraform, Airflow