Company: Quant Capital
Location: London
Job Description:
Overview
As an ETL Data Developer, you will design and build scalable data pipelines and models for our risk-focused fintech platform. You’ll collaborate with risk and analytics teams to productionize data and ML workflows in a cloud-based environment. You’ll shape data flows, automate data integration, and support BI and analytics across the organization. This role combines hands-on engineering with opportunities to impact credit risk modelling and data infrastructure at scale. You’ll thrive in a fast, open, collaborative culture that rewards thoughtful technical decisions.
Pay / Benefits
- 90,000 plus benefits
- flexible work from home
Responsibilities
- Collaborate with Risk and Analytics teams to build ML risk models and large-scale data projects from inception to production
- Create high-quality datasets from raw data using modern tools
- Design and embed data models and data flows in the cloud
- Drive batch, streaming, and ML applications from design to production
- Contribute to cloud data platform design, ingestion, processing, storage, and analytics
- Contribute to CI/CD automation, infrastructure management and configuration
- Transform and clean data from multiple sources to improve quality and accessibility
- Develop architectures for data extraction and transformation for predictive modelling
- Automate repeatable data integrations and data preparation flows
- Manipulate data, fulfil ad-hoc requests, and troubleshoot issues
Key requirements
- 2:1 or above Honours degree in mathematics, computer science or comparable field
- Python
- Build ETL pipelines (e.g., Airflow)
- JavaScript
- Build and CI/CD tools
- SQL
- REST APIs development
- GIT and branching
- BI tools (Looker, Qlik, Power BI, Tableau)
- Containerisation technologies
- Google Cloud Platform (GCP) data manipulation/transfer
- Reporting, data warehousing, data science and quantitative analysis
- Data modelling and meaningful visualisations
- collaborative
- problem solving
- agile/fast-paced
- Python
- SQL
- Airflow
…
Posted: October 1st, 2026