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JPMorgan Senior Lead Software Engineer -Python Databricks 
United Kingdom, Scotland 
138362033

24.04.2025

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 applied experience
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Advanced in one or more programming language(s), Python is required
  • Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
  • Ability to tackle design and functionality problems independently with little to no oversight
  • Experience performing data analytics on AWS platforms
  • Experience in writing efficient SQL's, implementing complex ETL transformations on big data platform.
  • Experience in a Big Data technologies (Spark, Impala, Hive, Redshift, Kafka, etc.)
  • Experience in data quality testing; adept at writing test cases and scripts, presenting and resolving data issues
  • Experience with Databricks, Snowflake, Iceberg are required
Preferred qualifications, capabilities, and skills
  • Experience in application and data design disciplines with an emphasis on real-time processing and delivery e.g. Kafka is preferable
  • Understanding of the Commercial & Investment Bank business will be useful.
  • Proficiency across the full range of database and business intelligence tools; publishing and presenting information in an engaging way is a plus
  • Financial Services and Commercial and Investment Banking experience is a plus
  • Familiarity with NoSQL database platforms(DynamoDB, Cassandra) is a plus
  • Familiarity with relational database environment (Oracle, SQL Server, etc.) leveraging databases, tables/views, stored procedures, agent jobs, etc.