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: Competitive salary, career growth, and a diverse, inclusive culture.
- Other info: Dynamic team environment with opportunities for continuous improvement.
- Why this job: Make a real impact on business objectives while driving innovation.
- Qualifications: 3 years of experience in data engineering and strong skills in Python and SQL.
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.
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.
- 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.
- 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.
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.
Data Engineer II - Python, SQL - Senior Associate in London employer: Jpmorgan Chase & Co.
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'll have access to extensive career growth opportunities while working alongside talented professionals in a supportive environment that values diversity and inclusion. Our commitment to employee development and the chance to make a significant impact on our global operations make us a standout choice for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer II - Python, SQL - Senior Associate in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current employees at JPMorgan Chase. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those using Python and SQL. This gives you a chance to demonstrate your expertise and creativity beyond just a CV.
✨Tip Number 3
Prepare for the interview by brushing up on common data engineering scenarios. Be ready to discuss your experience with AWS, Databricks, and NoSQL databases. We want to see how you think and solve problems!
✨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 in London
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 you can contribute to our team. Share specific examples of your past work that align with the responsibilities listed in the job description.
Showcase Your Projects:If you've worked on relevant projects, don't hesitate to include them! Whether it's developing data pipelines or using AWS, we want to see how you've applied your skills in real-world scenarios.
Apply Through Our Website:For the best chance of getting noticed, apply directly through our website. This way, your application will be in the right hands, and we can easily track your progress in the hiring process.
How to prepare for a job interview at Jpmorgan Chase & Co.
✨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 is key for a Data Engineer role.
✨Understand the Company Culture
Familiarise yourself with JPMorgan Chase's values and team culture. Be ready to discuss how your personal values align with their focus on collaboration, excellence, and continuous improvement.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current projects or the technologies they use. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
