IT & Software

Data Lead

UBS

London · Greater London · United Kingdom

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)

Reference: WJ-747_30825583

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