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

Testing Site - JPMC; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

JPMorgan Chase in London, within the GIB Capital Markets Team, seeks a Lead Data Engineer to shape trusted, market-leading technology products in a secure, scalable way. You will lead a squad of data engineers, drive end-to-end data solutions, and collaborate with product and design leads to deliver value.

The role requires strong Python, SQL, AWS, Databricks, and CI/CD experience, with emphasis on data architecture and resilient platforms across the data lifecycle.

Qualifications

• Formal training or certification on software engineering concepts
• 3 years applied experience in relevant roles
• Strong working knowledge of AWS and Databricks
• Advanced SQL skills with joins and aggregations
• Experience with NoSQL databases
• Experience with statistical data analysis and data patterns
• Understanding of modern software architecture patterns
• CI/CD experience with CircleCI/Jenkins
• Version control with GitHub/Bitbucket
• Desire to coach others and work in a team
• Adaptable to changing priorities and complexity

Responsibilities

• Lead a Squad of Data Engineers to meet business deliveries with Product and Design leads
• Lead Agile ceremonies including standups, retros, and refinements
• Take initiative and shape your own path with a pragmatic, iterative approach
• Accelerate team velocity to improve time to market for business solutions
• Provide frequent updates to senior stakeholders on progress
• Use domain modeling techniques to build best-in-class products
• Structure software for ease of understanding, testing, and evolution
• Investigate and fix issues promptly to prevent recurrence
• Own end-to-end, scalable, secure cloud-native microservice architectures
• Ensure zero downtime releases for end-users

Skills

Python

SQL

NoSQL

AWS

Databricks

Data modeling

CI/CD

Git

Leadership

Agile

Communication

Education

Software engineering training

Tools

CircleCI

Jenkins

GitHub

Bitbucket

Aurora Postgres

MongoDB

Job description

Be an integral part of an agile teamthat'sconstantly pushing the envelope toinnovate, build,enhanceand deliver top-notch technology products.

Asa LeadDataEngineer at JPMorgan Chase withinthe GIB and a part of theCapital MarketsTeamyou are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, youare responsible forconducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s businessobjectives.

Job responsibilities

• Lead a Squad ofDataEngineers to meet business deliveries workingwithProduct andDesignleads.
• Lead Agile ceremonies including standups,retrosand 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 forbusinesssolutions.
• Provide frequent updates to senior stakeholders on progress of businessdeliveries.
• Use domainmodellingtechniques 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,leveragingmodern technologies and the best industry practices.
• Investigate and fix issuespromptly andensure they do not resurface in the future.
• 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 experiencewith statistical data analysis and ability to determineappropriate toolsand data patterns for analysis.
• Knowledge of modern software architecture patterns.
• Experience with a modern CI/CD platforms such Circle Ci/Jenkins.
• Experience with modern version control platform such as GitHub/Bitbucket.
• A desire to teach others and share knowledge. A team player mindset where you want you 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 practises (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.