Python jobs in United Kingdom
Lead Data Engineer: Scale Data Pipelines & Analytics
JPMorgan Chase & Co.
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Stratasys Ltd
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The University of Edinburgh
Risk, Hedge Fund Credit Risk, Analyst, London
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Lead Data Engineer
Job summary
A major global financial services firm is seeking a Lead Data Engineer to enhance and deliver robust data solutions. The successful candidate will generate data models, develop pipelines, and ensure secure, scalable platform solutions. Proficiency in SQL and Python, as well as experience with Cloud platforms like AWS, are essential. This role emphasizes individual contribution and collaboration with stakeholders in driving data initiatives.
Qualifications
- Formal training or certification in Data Engineering concepts with advanced experience.
- Self-motivated and capable of managing deliverables as an individual contributor.
- Proficient in SQL, including joins and aggregations.
Responsibilities
- Generate data models using firmwide tooling and statistics.
- Develop data extraction and transformation pipelines.
- Deliver data platform solutions in a secure and scalable manner.
Skills
Tools
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 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
- 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
- AWS, Lambdas, Terraform
- Java
- Front end development
- User Experience skills
- Snowflake, Data modelling
- Experience working in large scale, global, highly regulated institutions
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.