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For Companies At a Glance
- Tasks: Join an agile team to design and deliver innovative software solutions.
- Company: Be part of JPMorgan Chase, a leader in investment banking and technology.
- Benefits: Enjoy competitive pay, remote work options, and a vibrant company culture.
- Why this job: Work on impactful projects that enhance digital capabilities and client relationships.
- Qualifications: Proficient in Python and SQL with experience in data engineering and software development.
- Other info: Contribute to a diverse and inclusive team while exploring new technologies.
The predicted salary is between 36000 - 60000 £ per year.
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 (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
- 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 (e.g. EC2, S3, IAM, Cloudwatch)
- Experience with Infrastructure as code (e.g. Terraform)
- Experience working in Agile/Scrum teams
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Software Engineer II - Data Engineer, Python, SQL - Associate employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer II - Data Engineer, Python, SQL - Associate
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Python, SQL, and AWS services. Having hands-on experience or projects that showcase your skills in these areas can set you apart from other candidates.
✨Tip Number 2
Engage with online communities or forums related to data engineering and software development. Networking with professionals in the field can provide insights into the company culture and may even lead to referrals.
✨Tip Number 3
Prepare for technical interviews by practising coding challenges and system design problems. Websites like LeetCode or HackerRank can help you sharpen your problem-solving skills, which are crucial for this role.
✨Tip Number 4
Showcase your understanding of agile methodologies and CI/CD practices during any discussions or interviews. Being able to articulate how you've applied these concepts in past projects will demonstrate your readiness for the role.
We think you need these skills to ace Software Engineer II - Data Engineer, Python, SQL - Associate
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and data engineering. Use specific examples from your past work that demonstrate your ability to design and deliver technology solutions.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role at JPMorgan Chase. Mention how your skills align with their needs, particularly in software development and agile methodologies.
Showcase Relevant Projects: Include any relevant projects or experiences that showcase your ability to work with large datasets, cloud services, and data pipelines. Highlight your problem-solving skills and any innovative solutions you've implemented.
Prepare for Technical Questions: Anticipate technical questions related to Python, SQL, and data engineering during the interview process. Brush up on your knowledge of ETL best practices and be ready to discuss your experience with cloud services like AWS.
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and SQL in detail. Bring examples of projects where you've implemented these technologies, especially in data engineering contexts. This will demonstrate your hands-on experience and understanding of the required skills.
✨Understand Agile Methodologies
Since the role involves working in an agile team, make sure you can articulate your understanding of agile methodologies like CI/CD. Be ready to share how you've applied these principles in past projects to enhance collaboration and efficiency.
✨Demonstrate Problem-Solving Abilities
Prepare to discuss specific instances where you've identified hidden problems in data or coding practices. Highlight how you approached these challenges and the solutions you implemented, showcasing your analytical thinking and technical troubleshooting skills.
✨Cultural Fit and Team Dynamics
JPMorgan Chase values diversity, equity, and inclusion. Be ready to talk about how you contribute to a positive team culture. Share experiences that reflect your ability to work collaboratively and respect diverse perspectives within a team setting.