Front-Office Quant Data Platform Engineer

Undisclosed; Greater London; On-site; GBP 110,000 - 180,000; Full time

Job summary

Undisclosed is hiring a Quantitative Engineer in London to own and build a greenfield data platform within the quant team. You will manage the full data lifecycle—from ingestion to serving—working closely with PMs, quants and DevOps to deliver a scalable, reliable system used by the front office for forecasting, AI, risk and pricing analytics.

The role emphasizes production-grade Python, strong SQL/PostgreSQL, data modeling, and experience with data lakehouse architectures, object storage, and

Qualifications

• Strong Python engineering, with a track record of production-grade, well-tested code.

Responsibilities

• Own the data lifecycle: ingestion, storage, versioning and serving to users and systems.
• Collaborate with PMs, quants and DevOps to build a scalable data platform.
• Develop, maintain and scale a data platform used by the front office.

Skills

Python engineering

Data platforms

SQL

PostgreSQL

Airflow

Linux

Git

CI/CD

Timeseries databases

Data Lakehouse

B-PIPE / BLPAPI

Cloud storage

Terraform

Tools

Parquet

Arrow

Polars

ClickHouse

Snowflake

Milvus

Job description

Undisclosed is hiring a Quantitative Engineer in London to own and build a greenfield data platform within the quant team. You will manage the full data lifecycle—from ingestion to serving—working closely with PMs, quants and DevOps to deliver a scalable, reliable system used by the front office for forecasting, AI, risk and pricing analytics.

The role emphasizes production-grade Python, strong SQL/PostgreSQL, data modeling, and experience with data lakehouse architectures, object storage, and