Software Engineer III - Java/Scala and AWS

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

Job summary

A global investment bank is seeking a skilled Software Engineer III in Glasgow to enhance their Markets Technology team. The successful candidate will design and deliver innovative technology products and contribute to the development of a next-gen business analytics platform. Ideal candidates will have solid coding expertise in Java, Scala, or Python, and hands-on experience with AWS services. This role promises a dynamic work environment and the opportunity to work with big data technologies.

Qualifications

• Hands-on practical experience in system design, application development, testing, and operational stability.
• Experience in developing, debugging, and maintaining code in a corporate environment.

Responsibilities

• Execute software solutions, design, and technical troubleshooting.
• Ingest data from multiple sources into a centralized data warehouse.
• Automate data extraction processes to improve efficiency.

Skills

Java

Scala

Python

Apache Spark

SQL

AWS services

Terraform

Unix/Linux

Data Structures

Algorithms

Education

Formal training in Computer Science or related field

Tools

AWS Lambda

AWS EMR

AWS Glue

DynamoDB

SQS

Redshift

Databricks

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 JPMorganChase within the Markets Technology, 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.

The Risk Central group is hiring data engineer to help us build our next generation business analytics platform. We will land financial data from various front office and product control platforms and will be the primary source of data for running business analytics. This is a great opportunity to work at the intersection of critical front office, product control facing data analytics and big data technologies. The successful candidate will be part of a high energy team and have the opportunity to participate in building out the platform

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
• 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
• Adds to team culture of diversity, opportunity, inclusion, and respect
• Ingest data from multiple firm sources into a centralized big data warehouse. Investigate and resolve data-related issues, providing support as needed.
• Automate data extraction processes to improve efficiency and reliability.
• Design and optimize database schemas for newly landed data on the platform.
• Collaborate with information modeling teams to develop firmwide logical data models.
• Act as the primary subject matter expert (SME) for data within the analytics platform.
• Establish and enforce data quality rules and controls to ensure data integrity.

Required qualifications, capabilities, and skills

• Formal training in Computer Science or related field and applied experience.
• Hands-on practical experience in system design, application development, testing, and operational stability
• Proficient in coding in Java/Scala/Python and Apache Spark, & SQL
• Experience with AWS services like Lambda, EMR, Glue, DynamoDB, SQS, Redshift. Also infrastructure management tools such as Terraform.
• Experience with Unix/Linux and shell scripting.
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Experience in data structures, algorithms with good understanding of big data
• Overall knowledge of the Software Development Life Cycle
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• 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

• Good understanding of data modelling challenges with big data.
• Good understanding of Financial data especially in front office investment banking is a major plus.
• Knowledge of Databricks is added advantage