Company: Quant Capital
Location: London
Job Description:
Overview
In this role you will design and operate large-scale batch and streaming data pipelines in AWS to support near real-time insights for wealth management customers. You will work within an agile, high-profile environment to unlock data-driven decisions and enable international growth for a leading fintech client. The role combines data engineering with hands-on modeling and analysis, offering opportunities to shape platform capabilities and drive innovation. A strong emphasis on real-time data, modern engineering practices, and cross-functional collaboration provides a meaningful, impactful career path.
Pay / Benefits
- training and development package
- flexible work
- (opportunity to work with blue-chip clients)
- high-profile role
- growth in fintech
- innovative technology stack
Responsibilities
- Design, build, monitor and manage large-scale batch and streaming data pipelines in AWS
- Data analysis
- Data modelling
- Collaborate in an agile environment (2-week sprints)
- Work with real-time data focus and cloud-centric stack
Key requirements
- Experience building complex data pipelines/ETL/ELT scripts
- Python/PySpark for data pipelines
- SQL proficiency
- Knowledge of AWS components (S3, Glue, Athena, RDS)
- Experience with Data Warehouse databases (Redshift, Snowflake, BigQuery)
- Experience implementing REST APIs
- Experience with BI tools (Looker, Qlik, Power BI, Tableau)
- Modern data engineering practices
- agile mindset
- innovation-driven
- team collaboration
- Python
- PySpark
- SQL
…
Posted: October 3rd, 2026