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

TN United Kingdom; London; On-site; GBP 60,000 - 90,000; Full time

Job summary

A leading company in the financial sector seeks a Software Engineer III to enhance their technology products in a secure and scalable environment. This role involves critical technology solutions in support of business objectives, requiring expertise in data engineering and software development while contributing to an inclusive team culture.

Qualifications

• Proficient advanced experience in Python and SQL.
• Experience in system design and application development.
• Knowledge of the Software Development Life Cycle.

Responsibilities

• Executes software solutions and design.
• Builds and maintains scalable data pipelines for processing.
• Contributes to software engineering communities and events.

Skills

Data Engineering

Python

SQL

Agile Methodologies

Application Resiliency

Cloud Native Experience

Education

Formal training or certification on software engineering concepts

Tools

AWS (EC2, S3, IAM, Cloudwatch)

Terraform

Job description

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Client:

Location:

London, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

68270bfb53ba

Job Views:

4

Posted:

27.05.2025

Expiry Date:

11.07.2025

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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

• 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
• Adds to team culture of diversity, equity, inclusion, and respect
• Build and maintain scalable data pipelines for batch and near real-time processing
• Optimize data workflows for performance, cost and reliability

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and proficient advanced experience in Data Engineering such as Python and SQL
• Hands-on practical experience in system design, application development, testing, and operational stability
• 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, Application Resiliency, and Security
• Practical cloud native experience
• Demonstrated knowledge of software applications and technical processes within a technical discipline (., cloud, artificial intelligence, machine learning, mobile,
• Strong Knowledge in Python and SQL
• Understanding of ETL best practices, data portioning and schema evolution
• Experience with data modelling and working with large-scale datasets and solid understanding of data lake architecture and data warehousing

Preferred qualifications, capabilities, and skills

• Experience with AWS cloud services (. EC2, S3, IAM, Cloudwatch)
• Experience with Infrastructure as code (. Terraform)