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- Tasks: Lead the development of secure and scalable data solutions while collaborating with a dynamic team.
- Company: Join JPMorganChase, a leader in innovation and collaboration.
- Benefits: Competitive salary, diverse culture, and opportunities for professional growth.
- Why this job: Make a meaningful impact by enhancing data solutions in a fast-paced environment.
- Qualifications: Five years of experience with databases and cloud platforms required.
- Other info: Be part of a culture that values diversity, inclusion, and respect.
The predicted salary is between 36000 - 60000 £ per year.
Join us as we embark on a journey of collaboration and innovation, where your unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference. As a Lead Data Engineer at JPMorganChase within the Compute Infrastructure Platforms organisation you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As a core technical contributor, you are responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities:
- Generates data models for their team using firmwide tooling, statistics, and contextual analysis.
- Delivers data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable way.
- Implements database back-up, recovery, and archiving strategy.
- Evaluates and reports on access control processes to determine effectiveness of data asset security with minimal supervision.
- Adds to team culture of diversity, opportunity, inclusion, and respect.
Required qualifications, capabilities, and skills:
- Five years of relevant working experience with both relational and NoSQL databases.
- Experience and proficiency across the data lifecycle.
- Experience with database back-up, recovery, and archiving strategy.
- Experience architecting and managing data solutions on major cloud platforms (AWS, Azure, Google Cloud).
- Demonstrated ability to implement and oversee data governance frameworks, including regulatory compliance.
- Hands-on experience designing, building, and optimizing complex ETL/ELT pipelines for large-scale, distributed data systems.
Preferred qualifications, capabilities, and skills:
- Proven track record in database performance optimization, including query tuning, indexing strategies, and resource management for both relational and NoSQL systems.
- Experience leading technical teams, mentoring junior engineers, and fostering collaborative, inclusive environments.
- Ability to work closely with business stakeholders, data scientists, and software engineers to deliver integrated data solutions.
- Strong skills in documenting data models, architecture decisions, and operational procedures for knowledge sharing and compliance.
- Familiarity with CI/CD pipelines, automated testing frameworks, and monitoring tools relevant to data engineering.
- Familiarity with modern enterprise level compute infrastructure including virtualised and cloud solutions.
- Familiarity with Databricks, Parquet, Iceberg and, or other high volume solutions.
Lead Data Engineer – Compute Data Platform in Glasgow employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer – Compute Data Platform in Glasgow
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for those interviews by practising common questions and showcasing your experience with data pipelines and cloud platforms. We recommend doing mock interviews with friends or using online resources to boost your confidence and refine your answers.
✨Tip Number 3
Showcase your skills through personal projects or contributions to open-source. This is a great way to demonstrate your hands-on experience with ETL/ELT pipelines and database management. We love seeing real-world applications of your expertise!
✨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, we’re always looking for passionate individuals who want to make a difference in the data engineering space.
We think you need these skills to ace Lead Data Engineer – Compute Data Platform in Glasgow
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with both relational and NoSQL databases. We want to see how you've tackled data challenges in the past, so don’t hold back on those impressive projects!
Tailor Your Application: Take a moment to customise your application for the Lead Data Engineer role. Use keywords from the job description to show us you understand what we're looking for and how you fit into our team.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to read and get straight to the heart of your experience and skills.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity with StudySmarter!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Data Inside Out
Make sure you’re well-versed in both relational and NoSQL databases. Brush up on your experience with data lifecycle management and be ready to discuss specific projects where you’ve implemented database back-up and recovery strategies.
✨Showcase Your Cloud Expertise
Since the role involves architecting data solutions on major cloud platforms, be prepared to talk about your hands-on experience with AWS, Azure, or Google Cloud. Highlight any specific challenges you faced and how you overcame them.
✨Demonstrate Leadership Skills
As a Lead Data Engineer, you’ll need to show that you can lead technical teams and mentor junior engineers. Share examples of how you’ve fostered a collaborative environment and contributed to team culture in previous roles.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions, especially around ETL/ELT pipelines and database performance optimisation. Brush up on query tuning and indexing strategies, and be ready to explain your thought process clearly.
