At a Glance
- Tasks: Design and deliver innovative data solutions using Python and SQL.
- Company: Join J.P. Morgan, a global leader in financial services.
- Benefits: Career growth, diverse culture, and opportunities to make an impact.
- Other info: Collaborative environment focused on excellence and continuous improvement.
- Why this job: Shape the future of data engineering and drive success across the firm.
- Qualifications: 3 years of experience in data engineering with strong Python and SQL skills.
The predicted salary is between 55000 - 65000 € per year.
Are you ready to shape the future of data engineering at JPMorgan Chase? Join a dynamic team where your unique skills will help build innovative solutions and contribute to a winning culture. You’ll have opportunities for career growth, collaborate with talented professionals, and make a real impact on our business objectives. Your expertise will empower our teams and drive success across the firm.
About the Role
As a Data Engineer III in our agile team, you will design and deliver reliable data collection, storage, access, and analytics solutions that are secure, stable, and scalable. You will develop, test, and maintain essential data pipelines and architectures, supporting various business functions to achieve the firm’s goals. Working with us, you will use your skills to drive innovation and help shape our team culture. Together, we focus on excellence, collaboration, and continuous improvement.
Job Responsibilities
- Develop workflows and ELT pipelines using Python and Databricks.
- Support review of controls to ensure sufficient protection of enterprise data.
- Implement data security using entitlements frameworks.
- Update logical or physical data models based on new use cases.
- Use SQL frequently and understand NoSQL databases.
Required Qualifications, Capabilities, And Skills
- Formal training or certification on software engineering concepts and 3 years applied experience.
- Good working knowledge of AWS, Databricks, and Python.
- Experience across the data lifecycle.
- Advanced at SQL, including joins and aggregations.
- Working understanding of NoSQL databases.
- Significant experience with statistical data analysis and ability to determine appropriate tools and data patterns for analysis.
- Utilize AWS Cloud Services for developing, deploying, and managing applications at scale.
- Good understanding and working knowledge of software development lifecycle tools used for configuration management, CI/CD pipelines, unit testing, regression testing, and performance testing.
Preferred Qualifications, Capabilities, And Skills
- Familiarity with the Standardized data layer practices (Medallion architecture).
- Exposure to Aurora Postgres and MongoDB.
- Skills in designing efficient data models including normalization, denormalization, and schema design and an understanding around relational and star schemas.
About Us
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.
About the Team
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.
Data Engineer II - Python, SQL - Senior Associate employer: JPMorganChase
At J.P. Morgan, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration. As a Data Engineer II, you will have access to extensive career growth opportunities, work alongside talented professionals, and contribute to impactful projects that drive our business forward. Our commitment to diversity and inclusion ensures a supportive environment where every employee can thrive and make a meaningful difference.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer II - Python, SQL - Senior Associate
✨Tip Number 1
Network like a pro! Reach out to current employees at JPMorgan Chase on LinkedIn or through mutual connections. A friendly chat can give you insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Since you'll be working with Python, SQL, and data pipelines, practice coding challenges and review common data engineering scenarios. We want you to shine!
✨Tip Number 3
Showcase your projects! If you've worked on relevant data engineering projects, make sure to discuss them during interviews. Highlight how you used AWS, Databricks, or any other tools mentioned in the job description.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're serious about joining our team at JPMorgan Chase.
We think you need these skills to ace Data Engineer II - Python, SQL - Senior Associate
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your expertise in Python, SQL, and data engineering to show us you’re the right fit for the role.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re passionate about data engineering and how your background aligns with our team’s goals. Be genuine and let your personality shine through!
Showcase Your Projects:If you’ve worked on relevant projects, don’t hesitate to mention them! We love seeing real examples of your work, especially if they involve data pipelines or analytics solutions.
Apply Through Our Website:For the best chance of success, make sure to apply directly through our website. It’s the easiest way for us to review your application and get you one step closer to joining our team!
How to prepare for a job interview at JPMorganChase
✨Know Your Tech Stack
Make sure you’re well-versed in Python, SQL, and any relevant tools like Databricks and AWS. Brush up on your knowledge of ELT pipelines and data models, as these will likely come up during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you tackled them. Use examples that highlight your ability to design and deliver reliable data solutions, as this aligns with what they’re looking for.
✨Understand the Company Culture
Familiarise yourself with JPMorgan Chase’s values and their focus on collaboration and continuous improvement. Be ready to share how you can contribute to their winning culture and drive innovation within the team.
✨Ask Insightful Questions
Prepare thoughtful questions about the role, team dynamics, and future projects. This shows your genuine interest in the position and helps you gauge if the company is the right fit for you.
