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- Tasks: Build and enhance data solutions that drive business impact and innovation.
- Company: Join JPMorgan Chase, a leader in financial services with a collaborative culture.
- Benefits: Competitive salary, growth opportunities, and a diverse, inclusive work environment.
- Why this job: Make a real difference in data engineering while developing your skills.
- Qualifications: Experience in data modeling, SQL, and understanding of data lifecycle.
- Other info: Hands-on experience with ETL pipelines and data security best practices is a plus.
The predicted salary is between 36000 - 60000 £ per year.
Are you passionate about building data solutions that make a difference? At JPMorgan Chase, you'll join a collaborative team where your creativity and unique perspective are valued. We empower you to grow your skills, contribute to meaningful projects, and shape the future of data engineering. Here, you'll find opportunities to innovate and make a lasting impact.
As a Data Engineer II in the Compute Infrastructure Platforms team, you will enhance, design, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You will execute data solutions through design, development, and technical troubleshooting of multiple components within technical products and systems. You'll gain hands-on experience and develop your skills as you grow within your role. Our team values diversity, creativity, and a culture of inclusion and respect. You'll help us drive innovation and support our mission to deliver high-quality data solutions.
Job Responsibilities:- Organize, update, and maintain data to make it actionable for business needs
- Demonstrate knowledge of data system components to determine secure access controls
- Make custom configuration changes in tools to generate products for business or customer requests
- Update logical or physical data models based on new use cases with minimal supervision
- Contribute to a team culture of diversity, opportunity, inclusion, and respect
- Experience with data modeling or compute infrastructure data concepts
- Basic knowledge of the data lifecycle and data management functions
- Advanced skills in SQL, including joins and aggregations
- Working understanding of NoSQL databases
- Experience with statistical data analysis and ability to select appropriate tools for analysis
- Basic knowledge of data system components to determine necessary controls
- Hands-on experience building or maintaining ETL/ELT pipelines, especially for large or complex datasets
- Understanding of monitoring tools such as Prometheus or Grafana, and logging frameworks for tracking data system health and performance
- Knowledge of data security best practices, including access controls, encryption, and compliance for highly confidential data
- Ability to document technical processes clearly and communicate findings or recommendations to both technical and non-technical stakeholders
If you're ready to make an impact and grow your career in a supportive, innovative environment, we invite you to join us.
Data Engineer II – Compute Infrastructure in London employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer II – Compute Infrastructure in London
✨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!
✨Tip Number 2
Prepare for the interview by brushing up on your SQL skills and data modelling concepts. We recommend practising common interview questions related to data engineering to show off your expertise.
✨Tip Number 3
Showcase your projects! If you've built any data solutions or worked on relevant projects, be ready to discuss them in detail. This is your chance to demonstrate your hands-on experience and creativity.
✨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 genuinely interested in joining the team.
We think you need these skills to ace Data Engineer II – Compute Infrastructure in London
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for data engineering shine through! We want to see how your creativity and unique perspective can contribute to our team. Share specific examples of projects or experiences that fuel your passion for building data solutions.
Tailor Your Application: Make sure to customise your application to highlight the skills and experiences that align with the job description. We’re looking for candidates who understand data lifecycle and management, so don’t hesitate to showcase your relevant expertise in SQL, NoSQL, and ETL/ELT pipelines.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and ensure your technical skills are easy to understand. Remember, you’ll be communicating with both technical and non-technical stakeholders, so practice that skill in your application!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re serious about joining our innovative team at JPMorgan Chase!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Data Inside Out
Make sure you brush up on your data modelling and compute infrastructure concepts. Be ready to discuss how you've organised, updated, and maintained data in previous roles. This will show that you understand the data lifecycle and can make actionable insights for business needs.
✨Show Off Your SQL Skills
Since advanced SQL skills are a must, prepare to demonstrate your knowledge of joins and aggregations. You might be asked to solve a problem on the spot, so practice writing queries beforehand. This will help you feel confident and showcase your technical prowess.
✨Familiarise Yourself with Tools
Get comfortable with monitoring tools like Prometheus or Grafana, as well as logging frameworks. Being able to discuss how these tools help track data system health and performance will set you apart. If you have hands-on experience, share specific examples during the interview.
✨Communicate Clearly
You’ll need to explain technical processes to both technical and non-technical stakeholders. Practice articulating your thoughts clearly and concisely. Use examples from your past experiences to illustrate your points, and don’t shy away from discussing how you’ve contributed to a culture of diversity and inclusion in your previous teams.
