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About the Role
We are seeking a talented and self-driven candidate to join and lead our Credit Principal Algo Data team within UBS Global Markets. This is a fast-paced and collaborative team responsible for the development and enhancement of our growing trading analytics platform.
Responsibilities
- Participate in the design and development of our data platform.
- Play a key role in designing and implementing the next generation of the platform, partnering closely with Algo Quant Trading, Trading, and Sales from idea generation through to production launch.
- Build and maintain strong working relationships with Algo Quant Trading, Trading, Quant, Sales, IT, and Risk partners in London and across regions.
- Maximize automation and performance to drive eTrading revenues.
- Operate in a highly agile manner, releasing to production multiple times per day.
- Deliver meaningful change through collaboration and diversity.
Requirements
- 8+ years of hands-on data engineering in production environments, with strong, idiomatic Python used for reliable, well-tested systems.
- Design and operation of large-scale ETL/ELT pipelines, including orchestration (Airflow, Prefect, or similar) and reliability patterns such as retries, backfills, and exactly-once semantics.
- Deep experience with Azure, including AKS, Helm, EventHub, observability tools (e.g. Log Analytics) and infrastructure-as-code (e.g. Terraform).
- Advanced experience operating Delta tables at scale, covering transaction semantics, schema evolution, partitioning, and compaction, alongside highly optimised analytical query execution using DuckDB or Apache Spark.
- Production-grade relational database expertise, particularly PostgreSQL (query tuning, indexing, partitioning, replication, and schema design across OLTP and analytics).
- Strong KDB experience, covering key concepts such as tp/ctp/rdb/hdb and differences between real-time vs historical queries and usage of gateways.
- Containerised data workloads using Docker and Kubernetes, with reproducible, environment-agnostic deployment of data infrastructure.
- Analytical data modelling expertise, including dimensional models or data vaults, schema evolution, slowly changing dimensions, and downstream impact analysis.
- Strong experience managing and troubleshooting environments based on visualization and data analytics technologies such as JupyterHub, PowerBI, Streamlit and Marimo.
- Batch and streaming processing proficiency, including late data handling, watermarking, backfills, and explicit throughput vs. latency trade-offs.
- Production data reliability and observability mindset, covering lineage, data quality checks, SLAs, CI/CD for data pipelines, and close collaboration with quants, risk managers, and traders to deliver trustworthy data products.
- 2+ years of experience in Java, covering react-based applications.
- Experience delivering business-facing solutions enhanced by AI and using AI assisted development (including prompt driven workflows and MCP servers) to reduce context switching and accelerate reliable delivery.
- Curiosity to explore how AI can improve how we build, deliver, and optimize workflows, with sound judgment – validating outputs and aligning with policies, risk standards, and ethical use.
- Open to applications from career returners.
Skills
- Python
- ETL/ELT pipelines
- Orchestration (Airflow, Prefect)
- Azure (AKS, Helm, EventHub, Log Analytics)
- Infrastructure-as-code (Terraform)
- Delta tables
- DuckDB
- Apache Spark
- PostgreSQL
- KDB
- Docker
- Kubernetes
- Analytical data modelling
- JupyterHub
- PowerBI
- Streamlit
- Marimo
- Batch processing
- Streaming processing
- CI/CD for data pipelines
- Java
- React
- AI
- AI assisted development
Experience Level
- 8+ years of hands-on data engineering
- 2+ years of experience in Java
About the Company
- UBS is a leading and truly global wealth manager and the leading universal bank in Switzerland.
- We also provide diversified asset management solutions and focused investment banking capabilities.
- Headquartered in Zurich, Switzerland, UBS is present in more than 50 markets around the globe.
- We know that great work is never done alone. That’s why we place collaboration at the heart of everything we do.
- We’re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us.
Equal Opportunity
- UBS is an Equal Opportunity Employer.
- We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.