Data Scientist Fintech 50

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

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