ETL Data Developer

As an ETL Data Developer, you will design and build scalable data pipelines and models for our risk-focused fintech platform. You’ll collaborate with risk and analytics teams to productionize data and ML workflows in a cloud-based environment. You’ll shape data flows, automate data integration, and support BI and analytics across the organization. This role combines hands-on engineering with opportunities to impact credit risk modelling and data infrastructure at scale. You’ll thrive in a fast, open, collaborative culture that rewards thoughtful technical decisions.

• 90,000 plus benefits
• flexible work from home

• Collaborate with Risk and Analytics teams to build ML risk models and large-scale data projects from inception to production
• Create high-quality datasets from raw data using modern tools
• Design and embed data models and data flows in the cloud
• Drive batch, streaming, and ML applications from design to production
• Contribute to cloud data platform design, ingestion, processing, storage, and analytics
• Contribute to CI/CD automation, infrastructure management and configuration
• Transform and clean data from multiple sources to improve quality and accessibility
• Develop architectures for data extraction and transformation for predictive modelling
• Automate repeatable data integrations and data preparation flows
• Manipulate data, fulfil ad-hoc requests, and troubleshoot issues

• 2:1 or above Honours degree in mathematics, computer science or comparable field
• Python
• Build ETL pipelines (e.g., Airflow)
• JavaScript
• Build and CI/CD tools
• SQL
• REST APIs development
• GIT and branching
• BI tools (Looker, Qlik, Power BI, Tableau)
• Containerisation technologies
• Google Cloud Platform (GCP) data manipulation/transfer
• Reporting, data warehousing, data science and quantitative analysis
• Data modelling and meaningful visualisations

• collaborative
• problem solving
• agile/fast-paced
• Python
• SQL
• Airflow