Senior Staff - IT Data Engineering and Analytics

About the role

Connecting clients to markets – and talent to opportunity As a team member, you'll benefit from our unique blend of digital platforms, comprehensive clearing and execution services, personalized high-touch support, and deep industry expertise. Elevate your career with us and make a significant impact in the world of global finance.

What you'll do

• AI is a core part of how you work: you use it to analyse sources, draft mappings, generate and test code
• The role suits an engineer who enjoys a live problem, a demanding stakeholder and a fast pace
• Build: design and build batch and streaming pipelines on Databricks (PySpark, SQL, Delta Lake, Unity Catalog
• Operate: own production reliability for what you build (CI/CD, alerting, incident response, root-cause analysis)
• Communicate: give crisp written and verbal updates to business and technology leaders, record decisions in Confluence and Jira, and reset expectations early when scope

What you need

• 6–9 years in data science & ai
• Analytics
• SQL
• Python
• Databricks
• Spark
• Kafka
• B.Sc or B.Tech or B.E. or BCA

Good to have

• LLMs
• Power BI
• Unity
• Azure
• Microsoft Dynamics
• Capital markets