Data Lead

Overview

In this role you lead the Rates Principal Algo Data team within UBS Global Markets to advance the trading analytics platform. You will drive AI-enabled data solutions and ensure robust, production-grade data infrastructure to support automated trading. You collaborate cross-functionally with quants, risk managers and traders to deliver trustworthy data products that boost e-Trading revenues. This is a fast-paced, agile environment that values collaboration and continuous improvement. You will shape how analytics and AI accelerate delivery and performance.

Pay / Benefits

• flexible working options
• inclusive culture
• disability inclusion and accommodations in recruitment

Responsibilities

• Lead design, development and enhancement of the trading analytics platform in a fast-paced, collaborative team
• Drive automation and performance improvements to support e-Trading revenues
• Deliver production-grade data pipelines with reliable scheduling, retries, backfills and exactly-once semantics
• Operate and optimize large-scale Delta tables, with analytics-focused query execution
• Ensure data reliability and observability, including lineage, quality checks, SLAs and CI/CD for data pipelines
• Collaborate with quants, risk managers and traders to translate requirements into trustworthy data products
• Implement AI-enabled data solutions and AI-assisted development to accelerate delivery
• Manage and troubleshoot data infrastructure using containerized workloads (Docker/Kubernetes)
• Oversee batch and streaming processing with attention to latency vs. throughput trade-offs
• Provide guidance on data modelling (dimensional models, data vaults) and downstream impact analysis

Key requirements

• 8+ years of hands-on data engineering in production environments
• Strong Python experience for reliable, well-tested systems
• Extensive experience building ETL/ELT pipelines with orchestration (Airflow, Prefect)
• Azure expertise including AKS, Helm, EventHub; observability tools and Terraform for IaC
• Advanced Delta tables knowledge: transaction semantics, schema evolution, partitioning, compaction
• PostgreSQL expertise: tuning, indexing, partitioning, replication, schema design
• Strong KDB experience: tp/ctp/rdb/hdb, real-time vs historical queries
• Docker and Kubernetes for containerized data workloads
• Analytical data modeling (dimensional models, data vaults) and SCDs
• Experience with JupyterHub, PowerBI, Streamlit, Marimo; BI/Data visualization
• Batch and streaming processing, late data handling, watermarking, backfills
• Production data reliability mindset: lineage, data quality checks, SLAs, CI/CD for data pipelines
• 2+ years of Java experience including React-based applications
• Experience delivering AI-enhanced business solutions and AI-assisted development
• Curiosity about applying AI to improve workflows with sound judgment

• collaboration
• curiosity
• sound judgment
• Python in production
• Airflow/Prefect (ETL orchestration)
• Azure (AKS, Helm, EventHub)

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