Lead Data Engineer

About the Role

We are seeking a highly experienced Lead Data Engineer to join our team and play a crucial role in shaping our data infrastructure and strategy. As our Lead Data Engineer, you will work directly under the Head of Software while operating as a peer-level senior technical leader. You will be responsible for establishing and maintaining robust data systems, managing a diverse data team comprising both data engineers and data scientists, and ensuring seamless interoperability between hospital systems and our FHIR facade.

NB : We are looking for people working from EU, preferably France, with working rights in EU. 

Key Responsibilities

Technical Leadership

• Design, implement, and oversee scalable data architecture that supports our healthcare applications
• Establish and maintain robust ETL processes and data pipelines
• Create and enforce data quality standards and governance policies
• Lead the implementation of FHIR-based interoperability solutions for healthcare data exchange
• Design and implement tracking systems to monitor data flows and system performance
• Architect solutions that bridge hospital systems with our healthcare platform

Team Leadership

• Manage a cross-functional data team that includes both data engineers and data scientists
• Provide technical direction to data engineers on infrastructure and pipeline development
• Guide data scientists on model implementation, deployment, and integration with data systems
• Develop and mentor team members to enhance their technical capabilities across engineering and science domains
• Lead technical interviews and make hiring decisions for both engineering and science roles within the data team
• Collaborate with cross-functional teams to align data strategy with business objectives
• Work in tandem with the Head of Software to establish the data infrastructure roadmap

Analytics & Business Intelligence

• Design and implement dashboards that visualize key business metrics
• Identify and track relevant KPIs based on business context and requirements
• Translate complex data patterns into actionable business insights
• Ensure data accessibility for various stakeholders while maintaining security and compliance
• Bridge the gap between data engineering infrastructure and data science applications

Required Qualifications

Experience

• 9+ years of relevant professional experience in data engineering roles
• Proven track record of designing and implementing enterprise-level data solutions
• Experience leading small technical teams (2-5 people) that include both data engineers and data scientists
• Demonstrated experience with healthcare data systems, preferably with FHIR implementation
• Background in setting up and optimizing data pipelines and ETL processes

Technical Skills

• Expert-level proficiency in SQL and database management
• Strong knowledge of data modeling, data warehousing, and data lake architectures
• Extensive experience with ETL tools and frameworks
• Practical understanding of machine learning and deep learning concepts and their distinctions
• Working knowledge of data science workflows and model deployment processes
• Experience with healthcare interoperability standards, particularly FHIR
• Proficiency in implementing tracking systems and monitoring solutions
• Ability to create effective data visualization dashboards and reports

Knowledge in Data Science & Engineering

• Deep understanding of the differences between data engineering and data science disciplines
• Practical knowledge of machine learning algorithms, model training, and evaluation metrics
• Familiarity with deep learning frameworks and when they should be applied
• Experience in creating data pipelines that support both analytics and machine learning workflows
• Ability to guide data scientists on best practices for model deployment and production integration
• Understanding of the full data lifecycle from ingestion to insights

Leadership Skills

• Excellent communication skills with the ability to explain complex technical concepts
• Strong project management capabilities
• Experience in recruiting and building diverse technical teams with varied skill sets
• Strategic thinking with a focus on long-term scalability and maintainability
• Ability to balance the sometimes competing priorities of data engineering and data science teams

Preferred Qualifications

• Experience in the healthcare technology sector
• Experience with Unix Based systems
• Familiarity with healthcare compliance requirements (HIPAA, etc.)
• Knowledge of cloud-based data platforms (AWS, GCP)
• Experience with real-time data processing systems
• Background in implementing data science solutions in production environments

What Sets You Apart

• You have broad understanding of both data science and data engineering
• You have a proven track record of building systems that connect disparate data sources
• You can balance technical excellence with business pragmatism
• You're comfortable managing both data engineering and data science professionals
• You can effectively translate between engineering and science domains
• You're passionate about healthcare innovation and using data to improve patient outcomes

This is a unique opportunity to shape the data foundation of our growing company while working closely with senior leadership. You'll have significant autonomy to implement best practices and build systems that will drive our future success, while leading a team that spans the full spectrum from data infrastructure to advanced analytics.