We are seeking a Head of Data Engineering to join our high-functioning Data & Analytics team (comprising Data Engineers, Analytical Business Partners, and Data Scientists). In this high-impact leadership role, you will take end-to-end accountability, from data ingestion to metric reporting, to deliver business-critical insights across the organisation.
Managing two Data Engineers, you will sit at the heartbeat of Numan, balancing hands-on technical contribution with strategic thought leadership. You will serve as the go-to expert for data warehouse design, data modelling best practices, and tool selection. If you are a highly communicative leader who wants to stay close to key decision-making, mentor talent, and drive commercial success, this role is for you.
Producing and communicating ambitious quarterly roadmaps, lead the Data QBR process, and establish clear OKRs for yourself and your team.
Partnering with Lead Engineers, Data Team Heads, regulatory professionals, and external partners (vendors, Google) to ensure alignment and compliance for stakeholders and patients.
Developing our agentic analytics framework to enable reliable, self-service analytics at scale.
Collaborate with the Infrastructure team to uphold robust engineering standards and operational workflows.
Manage orchestration processes for data engineering effectively.
Integrate and launch new data sources as Numan expands its offering and market footprint.
Manage relationships with key vendors to maximize value and utility across our toolset.
Continuously evaluate emerging technologies and provide recommendations on new tooling.
Ensure ETL and live reporting processes reliably deliver accurate, timely downstream KPIs.
Establish process monitoring systems so the team is "first to know" when issues arise.
Implement metric alerting to track metric shifts, data staleness, and overall data integrity.
Act as the company-wide consumption champion, promoting data literacy so every employee can leverage data effectively.
Build a culture of learning through discoverable documentation, training, helpdesk support, newsletters, and "lunch and learns."
Manage data access controls and security privileges across the entire tech stack.
Advanced SQL skills at both a production-grade and analytical level within a commercial environment.
Proven experience extracting, transforming, and loading data across disparate environments.
Hands-on experience developing data views within major BI tools (e.g., Looker, PowerBI, Tableau, MicroStrategy).
Experience leading or managing high-functioning technical talent, with a passion for helping team members reach their potential.
Deep knowledge of Data Engineering best practices and modern consumption-layer design.
Pragmatic, curious, self-driven, and commercially minded with a track record of delivering measurable impact.
Python skills
Worked with dbt previously
LookML skills
Knowledge of Software development best practices
Worked in a digital healthcare environment
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