Software Engineer II - Data Engineer, Python, SQL - Associate

TN United Kingdom; London; On-site; GBP 50,000 - 80,000; Full time

Job summary

A leading company in investment banking is seeking a Software Engineer II specializing in Data Engineering to enhance digital capabilities. The role involves developing secure software solutions, maintaining data systems, and working with large-scale datasets. Candidates should be proficient in Python and SQL, with proven experience in agile methodologies and cloud platforms.

Qualifications

• Advanced experience in Data Engineering, including Python and SQL.
• Practical experience in system design and application development.
• Knowledge of ETL best practices and data lake architecture.

Responsibilities

• Execute software solutions and develop technical troubleshooting.
• Build and maintain scalable data pipelines for processing.
• Create architecture artifacts while ensuring design constraints are met.

Skills

Python

SQL

Agile methodologies

Data Engineering

Cloud native experience

Education

Formal training in software engineering

Tools

AWS

Terraform

Job description

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Software Engineer II - Data Engineer, Python, SQL - Associate, London

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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:

3d973c802036

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 II 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 a 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)