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.

• 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 way Works 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

• 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, Lake houses
• Proficient in Databricks and Python, including concurrency and error handling
• Experience working with ETL tools
• Data visualisation tools

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