Python Data Software Engineer II

J.P. Morgan; Glasgow; On-site; GBP 45,000 - 65,000; Full time

Job summary

A leading financial institution in Glasgow is looking for a Software Engineer to drive their data strategy. The role involves creating innovative software solutions and collaborating with a global team. Ideal candidates should have experience with Python, SQL, and cloud technologies. Join a culture focused on diversity and continuous improvement.

Qualifications

• Hands-on practical experience in system design and application development.
• Demonstrable experience with Python and data manipulation.
• Significant experience with statistical data analysis.

Responsibilities

• Execute software solutions and develop technical troubleshooting.
• Create secure production code while maintaining algorithms.
• Analyze data sets for continuous improvement of applications.

Skills

Python

SQL

Agile methodologies

Data manipulation libraries

NoSQL databases

Statistical data analysis

Cloud computing (AWS)

ETL processes

Team collaboration

Education

Formal training or certification in software engineering

Tools

Databricks

AWS Data Platform

Job description

We have an exciting and rewarding opportunity within the Client Onboarding & Know Your Customer technology group, to help implement our next generation data strategy and take your software engineering career to the next level.

As a member of our Software Engineering Group, you will dive head-first into creating innovative solutions that advance businesses and careers. You ’ ll join an inspiring and curious team of technologists dedicated to improving the design, analytics, development, coding, testing, deployment, and support that goes into creating high quality software and new products. You ’ ll be tasked with keeping the team and other key stakeholders up to speed on the progress of what ’ s being developed. Coming in with an understanding of the importance of end-to-end software development-such as Agile frameworks-is key. And best of all, you ’ ll be working with and sharing ideas, information, and innovation with our global team of technologists from all over the world.

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, design artifacts and documentation for complex applications while being accountable for ensuring design constraints are met by software code development.
• Gathers, analyses, 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.
• Adds to team culture of diversity, equity, inclusion, and respect.

Required qualifications, capabilities, and skills:

• Formal training or certification on software engineering concepts.
• Solid understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security.
• Hands-on practical experience in system design, application development, testing, and operational stability, particularly data pipelines for moving/transforming data.
• Demonstrable experience with Python and associated data manipulation libraries.
• Advanced SQL (e.g., joins, aggregations, tuning).
• Working understanding of NoSQL databases.
• Significant experience with statistical data analysis and ability to determine appropriate tools and data patterns to perform analysis.
• Hands-on experience in building and maintaining Big Data systems.
• Hands-on experience with cloud computing, particularly AWS.
• Experience with ETL and processing real-time data.

Preferred qualifications, capabilities, and skills:

• Hands-on experience of Databricks.
• AWS Data Platform Experience.
• Team player, comfortable working in a fast-paced environment.
• Excellent problem solving skills and ability to work with tight deadlines.
• Organization skills, be able to prioritize task based on priority level.