Senior Front Office Data and Analytics Engineer
Company: Networking People (UK) Limited
Location: Shoreditch, East London (E1), EC2A 4HJ
Contract Type: Permanent
Salary: £150,000 – £200,000 per annum + corporate benefits + bonus
Overview
Networking People (UK) Limited is seeking a Senior Front Office Data and Analytics Engineer to work directly with Front Office investment and trading teams.
You’ll design, build, and support data and analytics infrastructure powering research, trading, and portfolio decision-making.
This is a hands-on, high-impact role at the core of the Front Office. The ideal candidate will take ownership of the full project lifecycle — from design to production — in a fast-paced and collaborative environment.
Key Responsibilities
- Collaborate with portfolio managers, analysts, and traders to understand data and research needs.
- Design, implement, and maintain real-time and batch data pipelines across internal and external data sources.
- Manage and optimise AWS-based data workflows, including containerised environments using Docker.
- Ingest, transform, and serve large-scale financial datasets across multiple asset classes using Python, Snowflake, and NoSQL databases (e.g., MongoDB).
- Ensure high standards of data quality, integrity, and availability across the front office stack.
Essential Skills and Experience
- Minimum of 5+ years’ experience as a Front Office Engineer (buy-side, sell-side, or trading environment).
- Deep expertise in Python and strong software engineering practices (version control, testing, CI/CD).
- Proven experience building robust, cloud-native data pipelines (preferably AWS).
- Hands-on experience with Docker and container-based deployments.
- Proficiency with Snowflake and NoSQL databases (especially MongoDB).
- Sound understanding of financial markets and instruments, particularly Fixed Income (credit, rates, equities, or options experience also considered).
- Familiarity with Bloomberg, Refinitiv, or similar market data providers.
- Experience with orchestration tools like Airflow or Prefect is an advantage.
- Experience creating internal tools or dashboards with Dash, Streamlit, or other data visualisation platforms is desirable.
Locations
- London (City)
- Switzerland (for candidates eligible to work there)
How to Apply
If you are an experienced data and analytics engineer with strong financial markets exposure and want to make an impact in a front-office environment, this role could be your next big move.
