We help companies get compensation right.

What we get paid at work has a massive impact on our lives, and it’s one of the biggest factors in hiring and retaining talent - and yet so many companies struggle to get it right. They simply have no choice but to rely on poor data and unsophisticated tools for their pay decisions. That’s why we created Ravio.

We help many of the world’s most innovative and ambitious companies build stronger teams and reach their goals through better compensation. Our real-time data platform brings compensation into the modern age, tracking the market across all compensation types from salary to equity and benefits. We’re passionate about ensuring everyone is paid what they deserve, no matter their background or circumstances. We believe that when compensation is done right, everyone wins.

Ravio is growing fast, which means you can too. We’ve established ourselves as the European leader in our space serving more than 1,200 clients, and now have our sights set on becoming the global go to place for compensation data and tools for managing compensation.

Joining a startup and scaling it into a global product is one of the most challenging and rewarding experiences a career can offer. If that sounds exciting to you, you’re in the right place.

The Role

We’re looking for a Head of Data to lead Ravio’s data function and team - spanning Data Engineering, Analytics, and Data Science - as we aim to scale from European leader to global category-defining platform.

Ravio is a data company, and you’ll lead the Data function. As Head of Data, you will define and execute the technical strategy that ensures our data platform is scalable, trusted, secure, and innovative.

This is both a strategic and hands-on leadership role. You’ll set direction, grow and manage a high-performing team, and remain close enough to the technical detail to maintain a high bar for quality and velocity.

What You’ll Do

Own the Data Vision & Strategy

Define and execute Ravio’s data roadmap across engineering, science, governance, and analytics
Ensure our data platform scales to support thousands of additional customers globally
Align data initiatives directly with product strategy and company objectives

Build & Lead a World-Class Data Team

Hire, mentor, and develop exceptional Data Engineers, Analysts, and Data Scientists
Create a high-performance culture that balances ambition with accountability and trust
Establish clear standards for technical excellence, documentation, testing, and CI/CD
Act as a thought partner to founders and senior leadership

Architect for Scale

Oversee the evolution of our data infrastructure on GCP
Ensure pipelines are robust, observable, cost-efficient, and production-grade
Drive improvements in pipeline reliability, testing, deployment workflows, and monitoring
Lead architectural decisions for new product areas and 0→1 data initiatives

Ensure Data Quality, Governance & Security

Define company-wide best practices for data governance and compliance
Maintain the highest standards for data quality, validation, and lineage
Own security and privacy practices for sensitive compensation data

Cross-Functional Leadership

Partner closely with Product, Engineering, Customer Success, Operations, and Commercial teams
Translate complex data challenges into business outcomes
Enable better decision-making across the company through analytics and insight

What We’re Looking For

Experience

8–12+ years in data roles, including significant leadership experience
Proven track record scaling data platforms in high-growth environments
Experience leading and hiring high-performing technical teams
Deep experience with production pipelines
Strong background in modern data stack architecture

Technical Expertise

Strong programming skills (Python preferred)
Experience with GCP (BigQuery, Cloud Storage, Cloud Functions, Workflows, CloudSQL)
Familiarity with DBT, Terraform
Experience designing scalable data models and pipelines
Proven experience of running ML pipelines in production

Leadership & Mindset

Comfortable operating in ambiguity and moving from 0→1
Bias for action with strong technical judgment
Excellent communicator across technical and non-technical stakeholders
High emotional intelligence and empathy
Motivated by building teams and systems that operate at high velocity

Our Tech Stack

Data Engineering

Python
GCP (Cloud Functions, Workflows, CloudSQL, Cloud Storage, BigQuery)
DBT

Data Science

Python (polars, scikit-learn, …)

CI/CD & Infrastructure

GitHub Actions
Terraform

Data at Ravio in 2026

This is a critical leadership role at a company where data is the heart of the product and the value provided to customers.

You’ll help us scale our existing pipelines to support thousands of new customers, while architecting new systems to power entirely new product categories. Some areas require scaling mature systems; others require true 0→1 innovation.

You’ll work alongside accomplished, ambitious teammates who hold themselves - and each other - to a high standard.

Why Join Ravio?

Shape the future of compensation globally
Own and define the data strategy of a category-defining company
Lead and grow a world-class data team
Blend executive-level strategy with meaningful technical depth
Remote-friendly culture with high ownership and autonomy
Work on a mission that helps people get paid fairly and competitively

Compensation & Benefits

£120,000 - £170,000
Company ownership (everyone gets a meaningful equity stake in Ravio)
37 days paid time off (25 days holiday + 4 wellness days + 8 public holidays)
Up to 6% pension matching scheme
£60 a month wellness allowance (Invest in your physical wellbeing, on us)
£500 per year Learning and Development budget
Private healthcare cover (on a medical history disregarded basis) with AXA
Personal worldwide travel insurance - just in case
Income protection insurance (for full peace of mind in case you cannot work because of sickness or disability)
16 weeks fully paid birthing parent leave, followed by 4 weeks at 50% pay. For non-birthing parents, we offer 8 weeks fully paid leave

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