At a Glance
- Tasks: Lead a team of Data Engineers to innovate and deliver top-notch technology solutions.
- Company: Join JPMorgan Chase, a leader in financial services with a focus on diversity and inclusion.
- Benefits: Competitive salary, career growth, and opportunities to work with cutting-edge technologies.
- Other info: Dynamic environment with a commitment to professional development and teamwork.
- Why this job: Make a real impact by leading agile teams and shaping the future of technology products.
- Qualifications: 3 years of experience in software engineering, strong skills in Python, SQL, and cloud technologies.
The predicted salary is between 80000 - 100000 £ per year.
Be an integral part of an agile team that's constantly pushing the envelope to innovate, build, enhance and deliver top-notch technology products. As a Lead Data Engineer at JPMorgan Chase within the GIB and a part of the Capital Markets Team, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities:
- Lead a Squad of Data Engineers to meet business deliveries working with Product and Design leads.
- Lead Agile ceremonies including standups, retros and technical refinements.
- Self-starter able to take the initiative and shape their own path and a pragmatic and iterative approach to achieving our long-term goals.
- Accelerate team velocity to improve time to market for business solutions.
- Provide frequent updates to senior stakeholders on progress of business deliveries.
- Use domain modelling techniques to allow us to build best in class business products.
- Structure software so that it is easy to understand, test and evolve.
- Promptly investigate and fix issues and ensure they do not resurface in the future.
- Own and deliver end-to-end, scalable, and secure solutions in the form of cloud-native microservice architecture applications, leveraging modern technologies and the best industry practices.
- Make sure our releases happen with zero downtime for our end-users.
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.
- Knowledge of modern software architecture patterns.
- Experience with modern CI/CD platforms such as Circle Ci/Jenkins.
- Experience with modern version control platforms such as GitHub/Bitbucket.
- A desire to teach others and share knowledge.
- A team player mindset where you want to coach other team members on coding practices, design principles, and implementation patterns.
- Adjusts quickly to changing priorities and conditions.
- Copes effectively with complexity and change.
- Learns technologies and patterns quickly.
- Comfortable in uncharted waters.
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, colour, 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.
Lead Data Engineer - Python, SQL - Team Lead - Vice President in London employer: Aumni
At JPMorgan Chase, we pride ourselves on fostering a dynamic and inclusive work environment where innovation thrives. As a Lead Data Engineer, you will not only lead a talented squad but also have access to extensive professional development opportunities, ensuring your growth in the fast-paced financial technology sector. Our commitment to diversity and employee well-being, combined with our agile culture, makes us an exceptional employer for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer - Python, SQL - Team Lead - Vice President in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage on platforms like LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for those interviews by practising common questions and scenarios related to data engineering. Get comfortable explaining your past projects and how they align with the role at JPMorgan Chase. Confidence is key!
✨Tip Number 3
Showcase your skills through personal projects or contributions to open-source. This not only demonstrates your technical abilities but also your passion for the field. Plus, it gives you something tangible to discuss during interviews.
✨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 love seeing candidates who are proactive about their job search.
We think you need these skills to ace Lead Data Engineer - Python, SQL - Team Lead - Vice President in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Lead Data Engineer role. Highlight your experience with Python, SQL, and any relevant cloud technologies like AWS. We want to see how you can contribute to our agile team!
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 mission at StudySmarter. Share specific examples of your past projects and how they relate to the responsibilities outlined in the job description.
Showcase Your Team Spirit:Since this role involves leading a squad, emphasise your teamwork and leadership skills. Share experiences where you've coached others or led a project, as we value collaboration and knowledge sharing at StudySmarter.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. This way, you can ensure all your details are captured correctly, and it helps us keep track of your application efficiently!
How to prepare for a job interview at Aumni
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, SQL, and AWS. Brush up on your knowledge of cloud-native microservices and CI/CD practices. Be ready to discuss how you've applied these technologies in past projects.
✨Showcase Your Leadership Skills
As a Lead Data Engineer, you'll be guiding a team. Prepare examples of how you've led Agile ceremonies or coached team members. Highlight your ability to drive team velocity and improve delivery times.
✨Be Ready for Problem-Solving Questions
Expect to tackle some technical challenges during the interview. Think through how you would approach investigating and fixing issues in data pipelines. Use real-life scenarios to demonstrate your problem-solving skills.
✨Communicate Clearly with Stakeholders
You’ll need to provide updates to senior stakeholders, so practice articulating complex technical concepts in simple terms. Prepare to discuss how you’ve effectively communicated project progress in previous roles.