Data Engineering Lead (Hybrid)
Posted
Summary
Technically leads HSBC's Wholesale Data & Analytics team in Sheffield: capturing requirements from business stakeholders, mentoring engineers, and owning end-to-end delivery of data warehouse and big data solutions using Spark, Hadoop, Scala, and Python with CI/CD tooling like Git, Jenkins, and Ansible.
Overview
In this role you will technically lead the Wholesale Data & Analytics team, align data solutions with business needs, and drive end-to-end delivery from analysis to production. You will work with cross-functional stakeholders, mentor engineers, and promote robust testing and modern engineering practices. The role offers visibility, impact, and opportunities for professional growth within a major global bank.
Pay / Benefits- competitive benefits package
- Lead the team and liaise with business stakeholders to capture requirements before design and development
- Hands-on coding and mentorship, providing technical SME guidance
- Design understanding of applications and own changes to meet new requirements per standards
- scout and adopt new technologies and accessibility considerations
- Guide developers in implementing best-of-breed solutions using established patterns
- Ensure automated testing is in place before user acceptance testing
- Drive continual service improvement and plan sunset of services when needed
- Own end-to-end delivery from analysis through to production release and support
- Experience implementing data processes for a Data Warehouse and production systems
- Strong experience with Big Data technologies (Hadoop / Spark)
- Programming in Scala and Python
- Strong delivery engineering tooling: Git/GitHub, Jenkins, Ansible, JIRA
- Strong understanding of Agile methodologies (Scrum/Kanban) and modern engineering practices (CI/CD, automated testing)
- Open to different points of view
- Stakeholder collaboration
- Team collaboration and mentoring
- Hadoop
- Spark
- Scala