Lead Software Engineer - Data Lake

Glasgow City
Full time
Posted
employer logo
JP Morgan
Banking, investment & finance
10,001+ employees
Compare employers
Apply on company site

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Senior Lead Software Engineer at JPMorgan Chase within the Corporate Technology, Chief Data and Analytics Office Development Team, you 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job responsibilities

  • Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
  • Develops secure and high-quality production code, and reviews and debugs code written by others
  • Drives decisions that influence the product design, application functionality, and technical operations and processes
  • Serves as a function-wide subject matter expert in one or more areas of focus
  • Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
  • Influences peers and project decision-makers to consider the use and application of leading-edge technologies
  • Adds to the team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and advanced applied experience.
  • Exposure to cloud technologies (AWS or GCP) via hands on experience or certification
  • Solid understanding of software applications and technical processes within a related technical discipline (e.g. data ingestion, data storage, data serving, APIs, etc.).
  • Hands-on experience in data lake or data warehouse and related technologies (e.g. Spark, ETL, Databricks).
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Advanced in one or more programming languages, such as Java or Python
  • Ability to tackle design and functionality problems independently with little to no oversight
  • Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field