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

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

Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join an agile team to design and deliver innovative software solutions.
  • Company: J.P. Morgan is a global leader in financial services, serving top corporations and governments.
  • Benefits: Enjoy a diverse workplace with opportunities for growth and flexible working options.
  • Why this job: Be part of a cutting-edge tech team driving impactful solutions in investment banking.
  • Qualifications: Proficient in Python and SQL with experience in data engineering and software development.
  • Other info: Embrace a culture of diversity, equity, and inclusion while working on exciting projects.

The predicted salary is between 43200 - 72000 £ 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 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 (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 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.

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.

J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Software Engineer III - Data Engineer - Python, SQL - Senior Associate employer: J.P. MORGAN-1

At J.P. Morgan, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among our diverse teams. As a Software Engineer III in our Investment Banking division, you will have access to unparalleled growth opportunities, cutting-edge technology, and a commitment to diversity and inclusion, all while working in a globally recognised financial institution that values your contributions and supports your professional development.
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Contact Detail:

J.P. MORGAN-1 Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Software Engineer III - Data Engineer - Python, SQL - Senior 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 at JPMorgan Chase and may even lead to referrals.

✨Tip Number 3

Prepare to discuss your experience with agile methodologies and CI/CD practices during interviews. Being able to articulate how you've applied these concepts in previous roles will demonstrate your readiness for the fast-paced environment at JPMorgan Chase.

✨Tip Number 4

Showcase your problem-solving skills by preparing examples of how you've identified and resolved technical challenges in past projects. This aligns well with the responsibilities outlined in the job description and highlights your proactive approach.

We think you need these skills to ace Software Engineer III - Data Engineer - Python, SQL - Senior Associate

Proficient in Python
Advanced SQL skills
Data Engineering expertise
Experience with ETL best practices
Data modelling experience
Understanding of data lake architecture
Knowledge of data warehousing
Hands-on experience in system design
Application development skills
Testing and operational stability knowledge
Familiarity with Software Development Life Cycle (SDLC)
Agile methodologies understanding
CI/CD practices
Cloud native experience
Experience with AWS services (e.g. EC2, S3, IAM)
Familiarity with Infrastructure as Code (e.g. Terraform)
Ability to analyse and visualise large datasets
Problem-solving skills
Strong communication skills
Team collaboration in Agile/Scrum environments

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and data engineering. Include specific projects or roles where you've demonstrated your skills in these areas, especially in a corporate environment.

Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role at JPMorgan Chase. Mention how your background aligns with their focus on agile methodologies and cloud-native experience, and provide examples of how you've contributed to team culture in previous roles.

Showcase Relevant Projects: If you have worked on relevant projects, especially those involving data pipelines, ETL processes, or cloud services like AWS, be sure to include them in your application. Describe your role and the impact of your contributions.

Highlight Continuous Learning: Mention any formal training or certifications you have in software engineering or data engineering. This shows your commitment to professional development and staying updated with industry trends, which is important for a role that involves emerging technologies.

How to prepare for a job interview at J.P. MORGAN-1

✨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, focusing on how you solved complex problems and optimised data workflows.

✨Understand Agile Methodologies

Since the role involves working in an agile environment, brush up on your knowledge of CI/CD processes and application resiliency. Be ready to explain how you've applied these methodologies in past projects.

✨Demonstrate Problem-Solving Abilities

Prepare to discuss specific instances where you've identified hidden problems in data or coding hygiene. Highlight your analytical skills and how you've used insights to drive improvements in software applications.

✨Emphasise Team Culture Fit

J.P. Morgan values diversity, equity, and inclusion. Be ready to share your thoughts on how you can contribute to a positive team culture and respect for diverse perspectives within the workplace.

Software Engineer III - Data Engineer - Python, SQL - Senior Associate
J.P. MORGAN-1
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  • Software Engineer III - Data Engineer - Python, SQL - Senior Associate

    Full-Time
    43200 - 72000 £ / year (est.)
  • J

    J.P. MORGAN-1

    1000-5000
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