What you’ll be doing

• Advanced Python & API Engineering
• Design, build, and maintain scalable APIs using Python (FastAPI / Flask)
• Develop and deploy containerised applications
• Integrate data and ML services across core fintech and microservices platforms
• Data Architecture & SQL Engineering
• Optimise complex SQL queries for high-performance analytics
• Design robust data models supporting reporting and predictive use cases
• Build and maintain feature stores and custom ETL pipelines
• Enrich internal datasets with external data sources for ML workloads
• Cloud, DevOps & Governance
• Manage GCP infrastructure using Terraform (IaC)
• Own CI/CD pipelines, automated deployments, and testing frameworks
• Uphold strong data governance, privacy, and ethical standards

Who we’re looking for

• You’re a seasoned data engineer who enjoys building reliable systems that scale — and you care deeply about quality, impact, and collaboration.

You’ll bring:

• A Bachelor’s degree in Computer Science, Engineering, Finance, Economics, or related field
• 5+ years’ experience in data engineering (with senior-level responsibility)
• Expert-level Python skills for APIs, automation, and backend services
• Advanced SQL and data modelling expertise (BigQuery / MySQL)
• Strong experience with Google Cloud Platform (BigQuery, Pub/Sub, Dataflow, Vertex AI)
• Hands-on CI/CD and Git-based workflows
• Experience in fintech or financial services (strong advantage)
• GCP Professional Data Engineer or ML Engineer certification (added advantage)