Hybrid Cloud Data Platform Engineer (AWS & Python)

Sterlings; City Of London; Hybrid; GBP 55,000 - 75,000; Full time

Job summary

Sterlings are partnering with an AI-driven financial intelligence company to hire a Data Platform Engineer with 2–4 years of commercial experience to help build and maintain the cloud-based data platform behind the company’s products. The role combines Python development, AWS, data engineering, orchestration, DevOps and platform reliability.

You’ll work in a hybrid setup, with three days in the office (Vauxhall) and collaboration with engineering and AI teams to integrate new data sources and

Qualifications

• 2–4 years of commercial experience in data, software or platform engineering
• Hands-on AWS experience
• Experience with data pipelines or data platforms
• Good understanding of CI/CD, DevOps and Git
• Experience with Docker/other containerisation tools
• Experience with databases, ideally PostgreSQL/RDS
• Experience with workflow orchestration, ideally Airflow

Responsibilities

• Build and maintain scalable data platforms and pipelines using Python and AWS.
• Develop reliable data ingestion, processing and transformation workflows.
• Work with orchestration tools such as Airflow.
• Build and maintain cloud infrastructure, APIs and containerised services.
• Develop CI/CD pipelines using GitHub Actions and Docker.
• Work with databases and data platforms including PostgreSQL, RDS, Redshift, Glue, Iceberg and Athena.
• Implement monitoring, logging and observability using CloudWatch, Grafana and Prometheus.
• Troubleshoot production issues and improve platform reliability, performance and scalability.
• Work closely with engineering and AI teams to integrate new data sources and platform capabilities.

Skills

Data platform engineering

AWS

Data pipelines

CI/CD

Git

PostgreSQL / RDS

Airflow

Tools

Docker/containerisation

Job description

Sterlings are partnering with an AI-driven financial intelligence company to hire a Data Platform Engineer with 2–4 years of commercial experience to help build and maintain the cloud-based data platform behind the company’s products. The role combines Python development, AWS, data engineering, orchestration, DevOps and platform reliability.

You’ll work in a hybrid setup, with three days in the office (Vauxhall) and collaboration with engineering and AI teams to integrate new data sources and