Lead Data Engineer

JPMorgan Chase & Co.
Bournemouth
3 days ago
Applications closed

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Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Join us as we embark on a journey of collaboration and innovation, where your unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference.


As a Lead Data Engineer at JPMorgan Chase within Corporate Technology, you are an integral part of a cutting edge team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As a core technical contributor, you are responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm’s business objectives.


Job responsibilities

  • Generates data models using firmwide tooling, statistics, and algorithms
  • Works alongside other Data Engineers and stakeholders to develop data extraction and transformation pipelines
  • Delivers data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable wayWorks with key stakeholders to understand key data requirements
  • Designs and implements data solutions, with effective access control and security
  • Designs and implements data visualisation solutions with a focus on User Experience
  • Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

  • Formal training or certification on Data Engineering concepts and proficient advanced experience
  • Self motivated and driven; capable of managing deliverables as an individual contributor
  • Experience and proficiency across the data lifecycle
  • Advanced at SQL (e.g., joins and aggregations)
  • Working understanding of Cloud platforms e.g. AWS
  • Adept at working with stakeholders to develop a cohesive business requirement that can create testable outcomes
  • Experience working with Big Data; Data Lakes, Data Warehouses, Lakehouses
  • Proficient in Databricks and Python, including concurrency and error handling
  • Experience working with ETL tools
  • Data visualisation tools

Preferred qualifications, capabilities, and skills

  • AWS, Lambdas, Terraform
  • Java
  • Front end development
  • User Experience skills
  • Snowflake, Data modelling
  • Experience working in large scale, global, highly regulated institutions


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