Engineering - Data Engineer - Vice President - London

Requirements

• Bachelor’s or master’s degree in a relevant discipline, or equivalent practical experience, with evidence of strong quantitative skills or data engineering expertise
• Strong hands-on programming experience in Python or Java
• Good working knowledge of SQL, including troubleshooting, optimization, and data analysis
• Ability to learn new tools, internal platforms, and delivery workflows quickly
• Familiarity with software engineering fundamentals, including version control, testing, release discipline, and CI/CD practices

Key Responsibilities

• Build, enhance, and support batch and streaming data pipelines on the Lakehouse and AI data platform
• Refactor or modernize existing data flows to improve reliability, performance, and maintainability
• Develop raw, refined, and curated datasets that support analytics, reporting, and AI use cases
• Implement controls to validate data completeness, accuracy, and consistency
• Work closely with engineers, platform teams, and data consumers to deliver agreed outcomes

Skills and Experience

Required

• Stronger ownership of technical design across multiple datasets or pipeline domains
• Experience guiding implementation standards, code quality, and engineering practices within a team
• Ability to lead delivery for a workstream, manage dependencies, and support less experienced engineers
• Understanding of temporal data modeling, schema design, and data compatibility considerations
• Experience building or supporting production data pipelines in a collaborative engineering environment

Perks and Benefits

• Commitment to fostering and advancing diversity and inclusion
• Training and development opportunities
• Firmwide networks and mindfulness programs
• Benefits, wellness, and personal finance offerings