Data Engineer Python SQL AWS - FinTech
Client Server
Overview
As a Data Engineer, you will design and maintain a scalable AWS-based data platform that supports finance-focused data pipelines and ingestion workflows. You’ll work within a data-focused team to evolve the data architecture, optimise PostgreSQL and time-series environments, and ensure data quality and governance at scale. Your day-to-day involves building pipelines, onboarding new data sources, and collaborating with platform engineers to deliver reliable, high-performance data services. This role offers hands-on work in a fintech context with a clear impact on data-driven research and decision making.
Pay / Benefits- salary to 85k + bonus
- 3 weeks remote work per year? (office 3 days, 2 remote)
- 25 days holiday, rising to 30
- Pension 9% (employer 5%, employee 4%)
- Healthcare for you and family
- Cycle to Work scheme
- Design and maintain data pipelines, ingestion frameworks, and processing workflows
- Migrate existing datasets into a unified data architecture
- Collaborate with Data Platform Engineer on platform design, data modelling, and database optimisation
- Onboard new data sources and optimise PostgreSQL and time-series databases
- Improve data quality, governance, and platform reliability, performance, and scalability
- Experience as a Data Engineer in financial data or FinTech environments
- Strong SQL and Python coding skills
- AWS experience including Data Lakes and S3
- Experience building and supporting large-scale data pipelines
- Experience with PostgreSQL
- Experience with time-series data (TimescaleDB or similar)
- Experience with orchestration platforms such as Dagster or Airflow
- Collaborative with good communication skills
- collaborative
- good communication
- team-oriented
- SQL
- Python
- AWS (Data Lakes, S3)
Reference: WJ-747_31225092 · Posted 04 Nov 2026, 10:39 PM