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Software Engineer III – Python / Databricks

JPMorgan Chase
Glasgow, GBR
Full-time
Mid
Onsite
Discovered 1 weeks ago
PythonDatabricksSQLNoSQLFederated Data LakeMedallion architecture
Free

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PythonDatabricksSQL
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Job responsibilities

  • Develop workflows and extract, load, and transform pipelines using Python and Databricks to support scalable and reliable data solutions
  • Support the review of controls to ensure sufficient protection of enterprise data across the data lifecycle
  • Implement data security using entitlements frameworks to safeguard sensitive information
  • Update logical and physical data models based on evolving business use cases and requirements
  • Apply SQL expertise — including complex joins and aggregations — and leverage working knowledge of NoSQL databases to support diverse data access patterns
  • Apply reuse-first, AI-assisted practices to strengthen software development lifecycle quality routines for data pipelines (e.g., test generation and control validation), ensuring traceability, auditability, and alignment to resiliency and security expectations
  • Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and proficient applied experience
  • Good working knowledge of cloud-based data services (especially Glue jobs and Federated Data Lake), unified analytics platforms, and Python
  • Experience across the data lifecycle, including ingestion, transformation, storage, and access patterns
  • Advanced proficiency in SQL, including joins and aggregations, with a working understanding of NoSQL databases
  • Significant experience with statistical data analysis and the ability to determine appropriate tools and data patterns for analysis
  • Experience utilizing cloud services for developing, deploying, and managing applications at scale
  • Good understanding and working knowledge of software development lifecycle tools used for configuration management, continuous integration and delivery pipelines, unit testing, regression testing, and performance testing
  • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs
  • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations

Preferred qualifications, capabilities, and skills

  • Familiarity with standardized data layer practices such as Medallion architecture
  • Exposure to relational database platforms and cloud data warehousing solutions
  • Curiosity and foundational understanding of generative AI, large language models, and AI/ML solutions
  • Skills in designing efficient data models, including normalization, denormalization, and schema design, with an understanding of relational and star schemas

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