Lead Data Engineer - Python, SQL - Team Lead - Vice President

Lead Data Engineer - Python, SQL - Team Lead - Vice President

Full-Time 80000 - 100000 £ / year (est.) No working from home possible
Aumni

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 opportunities, and a dynamic work environment.
  • Other info: Be part of an agile team that values collaboration and continuous learning.
  • Why this job: Make a real impact by building scalable, secure solutions using cutting-edge technologies.
  • 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 employer: Aumni

At JPMorgan Chase, we pride ourselves on fostering a dynamic and inclusive work environment where innovation thrives. As a Lead Data Engineer in our Capital Markets Team, you will not only lead a talented squad but also have access to extensive professional development opportunities, competitive benefits, and a culture that values diversity and collaboration. Join us in a location that champions cutting-edge technology and offers a supportive atmosphere for personal and career growth.

Aumni

Contact Details:

Aumni Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead Data Engineer - Python, SQL - Team Lead - Vice President

Tip Number 1

Network like a pro! Reach out to your connections in the industry, especially those at JPMorgan Chase. A friendly chat can sometimes lead to opportunities that aren’t even advertised yet.

Tip Number 2

Prepare for those interviews by brushing up on your technical skills. Make sure you can confidently discuss Python, SQL, and cloud-native architectures. We want you to shine when it comes to showcasing your expertise!

Tip Number 3

Don’t forget to highlight your leadership experience! As a Lead Data Engineer, showing that you can guide a team and lead Agile ceremonies will set you apart from the crowd. Share specific examples of how you've done this in the past.

Tip Number 4

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 take the initiative to connect directly with us.

We think you need these skills to ace Lead Data Engineer - Python, SQL - Team Lead - Vice President

Python
SQL
AWS
Databricks
NoSQL databases
Statistical Data Analysis
CI/CD platforms

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Lead Data Engineer role. Highlight your experience with Python, SQL, and any relevant cloud technologies like AWS. We want to see how your skills align with our needs!

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 you can contribute to our agile team. Let us know what excites you about working at StudySmarter.

Showcase Your Team Spirit:Since we value collaboration, share examples of how you've worked in teams before. Whether it's leading Agile ceremonies or mentoring others, we want to see your team player mindset in action!

Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the process smoother for everyone involved.

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.

Show Your Leadership Skills

As a Lead Data Engineer, you'll be guiding a squad. Prepare examples of how you've led teams or projects before. Highlight your experience with Agile ceremonies and how you’ve improved team velocity in previous roles.

Be Ready for Problem-Solving Questions

Expect to tackle some technical challenges during the interview. Think through how you would approach fixing issues in data pipelines or software architecture. Use the STAR method to structure your answers.

Demonstrate Your Team Player Mindset

JPMorgan Chase values collaboration. Share experiences where you coached others or contributed to a team’s success. Emphasise your adaptability and willingness to learn new technologies quickly.