Data Engineering Lead

3 days ago

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Neko Health

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Healthcare Insurance • Wellness

Neko Health is a healthcare company offering advanced body scans and health check services in the United Kingdom and Sweden. They focus on providing comprehensive health evaluations using cutting-edge technology, allowing clients to receive instant results and detailed consultations with doctors. Their services include monitoring body measurements, blood vessels, heart rhythm, diabetes factors, and skin mapping. Neko Health emphasizes preventive healthcare and annual check-ups to help clients track changes and improve their health over time. The company aims to revolutionize healthcare by making thorough health checks accessible and emphasizing prevention over treatment.

11 - 50 employees

Founded 2018

⚕️ Healthcare Insurance

🧘 Wellness

💰 Series A on 2023-07

📋 Description

• Own Neko’s Data Engineering strategy, ensuring long-term leadership in preventive health. • Drive innovation in data engineering technologies and practices. • Own data engineering and systems for large-scale data ingestion, including multi-regional needs and storage & data modeling. • Establish ways of working and common tooling for efficient communication and alignment within the organization. • Build a platform supporting responsible AI — fairness, privacy, explainability, and compliance (EU MDR, FDA, HIPAA, GDPR). • Support growth, well-being, and performance within the team. Foster a positive and collaborative work culture.

🎯 Requirements

• 5+ years in Data Engineering leadership, with proven track record of scaling data systems from startup to large and international scale. • Experience building scalable data infrastructure (data platforms) and data governance frameworks for multi-region, sensitive data environments. • Strong software design, SQL, and Python skills. • Ability to inspire and grow a world-class team. • Strategic leader with both hands-on credibility and organizational influence. • Adept at delivering impact working in circumstances with large uncertainty and in discovery-driven phases. • Experience leading Data Engineering in a global, mission-driven company. • Experience with sensitive data, ideally health data, and compliance. • Experience with GPU workloads in Databricks.

🏖️ Benefits

• Flexible workplace that focuses on work/life balance • Bi-weekly engineering demos to share progress and innovation