{ “@context”: “http://schema.org”, “@type”: “JobPosting”, “title”: “Lead Data Engineer – Python, SQL – Team Lead – Vice President”, “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.
Company: JPMorgan Chase & Co.
Location: London
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.
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Posted: May 20th, 2026