Data Engineer
Join the Future of AI-Driven Debt Resolution. We are an innovative, AI-powered debt solutions company transforming how consumers and businesses manage and resolve debt. By combining advanced machine learning, intelligent automation, and ethical data practices, we're redefining financial recovery with smarter, fairer outcomes.
As we scale, we're looking for Python Data Engineers to help design, build, and optimise the data infrastructure that powers our AI-driven platform.
The Role:
* Design and maintain scalable data pipelines supporting AI/ML models
* Build robust ETL/ELT workflows using Python
* Develop and manage data integrations from multiple structured and unstructured sources
* Work closely with Data Scientists, ML Engineers, and Product teams
* Optimise data storage solutions for performance, security, and compliance
* Ensure data quality, governance, and regulatory adherence (financial services experience a plus)
What We're Looking For:
* Strong Python experience (Pandas, NumPy, PySpark or similar)
* Experience building production-grade data pipelines
* Solid SQL knowledge and database optimisation skills
* Experience with cloud platforms (AWS, Azure, or GCP)
* Familiarity with orchestration tools (Airflow, Prefect, etc.)
* Understanding of data warehousing concepts
Desirable:
* Experience in fintech, credit risk, or debt recovery
* Exposure to ML pipelines and model deployment
* Knowledge of Docker / Kubernetes
* Experience with real-time data processing
* Experience using AI tools - Claude Code, Cursor etc
The role is 2 days a week in London and 3 days from home. Please apply for immediate consideration.