Lead Data Platform Engineer

Build the foundation of data-driven transformation at Riverflex by architecting cloud-native data platforms, leading development, and guiding a team of engineers in building robust, secure, and real-time data systems.

Requirements

• Architect and maintain end-to-end data platforms across cloud environments (Azure, Databricks)
• Design and implement secure, scalable, and automated data pipelines
• Collaborate with analytics, product, and engineering teams to translate business needs into data solutions
• Own data platform reliability, performance, monitoring, and incident response
• Implement and champion best practices in data modelling, governance, testing, and documentation
• Mentor junior engineers and help shape a high-performing data engineering team
• Evaluate and integrate new technologies to improve data stack performance, scalability, and cost-efficiency
• Build reusable tooling, components, and internal frameworks for data pipeline development
• Ensure compliance with data privacy, protection, and security regulations (e.g. GDPR)

Benefits

• 25 days off per year plus closure between Christmas and New Year's
• Flexible remote work from abroad options for up to 6 weeks per year
• Learning & Development budget, including full access to Udemy courses
• Classpass membership to support well-being
• Latest tech & tools, including home office budget and professional software subscriptions
• Equity share scheme to give long-term team members ownership in Riverflex
• Annual company trips to celebrate successes together