At a Glance
- Tasks: Design and deliver innovative data solutions using Python and SQL.
- Company: Join JPMorgan Chase, a leader in the financial services industry.
- Benefits: Competitive salary, career growth, and a collaborative work culture.
- Other info: Diverse and inclusive workplace with excellent opportunities for personal development.
- Why this job: Make a real impact on business objectives while driving innovation.
- 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.
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.
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.
Data Engineer II - Python, SQL - Senior Associate in London employer: J.P. Morgan
At JPMorgan Chase, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. As a Data Engineer II, you'll not only have the chance to work with cutting-edge technologies but also enjoy ample opportunities for professional growth in a diverse and inclusive environment. Our commitment to employee development and well-being, combined with our focus on excellence, makes us a rewarding place to advance your career.
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 current employees at JPMorgan Chase on LinkedIn. A friendly message can go a long way in getting your foot in the door and showing your genuine interest in the company.
✨Tip Number 2
Prepare for those interviews! Brush up on your Python, SQL, and data engineering concepts. We recommend doing mock interviews with friends or using online platforms to get comfortable with common questions.
✨Tip Number 3
Showcase your projects! If you've worked on any relevant data pipelines or analytics solutions, make sure to highlight them during your discussions. Real-world examples can really impress hiring managers.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you’ll be able to track your application status easily!
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 Data Engineer II role. Highlight your expertise in Python, SQL, and any relevant projects you've worked on. We want to see how you can contribute to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your background aligns with our goals at JPMorgan Chase. Let us know what excites you about this opportunity!
Showcase Your Projects:If you've worked on any data pipelines or analytics solutions, be sure to mention them in your application. We love seeing real-world examples of your work, especially if they demonstrate your ability to drive innovation and collaboration.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you'll be one step closer to joining our dynamic team at JPMorgan Chase!
How to prepare for a job interview at J.P. Morgan
✨Know Your Tech Stack
Make sure you brush up on your Python, SQL, and any relevant tools like Databricks and AWS. Be ready to discuss how you've used these technologies in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled data engineering problems. Think about the workflows and ELT pipelines you've developed and be ready to explain your thought process and the impact of your solutions.
✨Understand the Business Context
Familiarise yourself with JPMorgan Chase's business objectives and how data engineering plays a role in achieving them. This will help you connect your technical skills to their needs and demonstrate that you're not just a techie but also a strategic thinker.
✨Ask Insightful Questions
Prepare thoughtful questions about the team culture, ongoing projects, and future challenges they face. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
