Database Engineer

Due to continued growth, we're supporting a remote-first technology organisation operating at the intersection of data engineering and AI. They're known for building intelligent, data-driven platforms and are investing heavily in the long-term scalability, security, and performance of their data infrastructure., As a Database Engineer, you'll sit between database administration and software engineering, taking ownership of highly available data systems while developing Python-based tooling to automate, scale, and evolve the wider data platform. You'll play a key role in database performance, security, migrations, and integrations, working closely with engineering and data teams to support an AI-focused product ecosystem.

• Expert-level PostgreSQL experience, including complex queries, schema design, and performance optimisation
• Strong Python development experience, writing production-quality, maintainable code
• Experience with database backup, replication, recovery, and high-availability strategies
• Exposure to NoSQL technologies such as MongoDB
• Experience building or supporting ETL processes and REST API integrations
• Strong understanding of testing, monitoring, and alerting practices
• Clear communication skills and the ability to work effectively in a distributed team

DESIRABLE EXPERIENCE

• Cloud platforms (GCP preferred), Docker, and Kubernetes

• FastAPI, Django, or Flask within a microservices environment

• CI/CD pipelines and automated deployment workflows

• Data modelling within AI or data science contexts, PostgreSQL, Python, Database Engineering, Data Infrastructure, ETL, REST APIs, MongoDB, Cloud, GCP, Docker, Kubernetes, AI Platforms, Remote Engineering Skills

• Database Engineer

• Remote-first role within a European distributed engineering team
• Strong focus on PostgreSQL, Python, and data infrastructure automation
• Opportunity to support and scale an Educational AI platform
• Permanent position with long-term architectural ownership, * Fully remote working across the UK and Europe
• Long-term, permanent role with architectural influence
• Exposure to AI-driven data pipelines and modern tooling
• Collaborative, engineering-led culture with autonomy and ownership