Head of Data Engineering

The Role:

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.

You'll be:

• Owning and refining the long-term Data Engineering Strategy, aligning it with company objectives and modern technology advances.

• 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.

You'll have:

• 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.

It's a bonus if you have:

• Python skills

• Worked with dbt previously

• LookML skills

• Knowledge of Software development best practices

• Worked in a digital healthcare environment