Ravio is a SaaS compensation benchmarking tool aggregating anonymized HRIS, ATS and cap-table data via API to provide real-time pay, equity and benefits comparisons, banding, and pay-equity analytics.
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 Senior Data Engineer to drive the ongoing development of our data platform, - Be a senior technical contributor in our data engineering team, building and maintaining Ravio’s data pipelines and infrastructure - the core of our business. - Shape and implement the data roadmap, improving pipeline structure, robustness, testing, and continuous development as well as helping oversee the team’s cloud infrastructure. - Ensure data quality, governance, and security best practices are followed. - Partner with fellow engineers, product managers and the broader team to make quick, collaborative decisions that drive business outcomes while maintaining technical excellence. - Foster team culture in the Data team, making it a positive, ambitious, accountable and fun environment where people enjoy doing their best work. What We’re Looking For - 6+ years of experience in Data Engineering, with a proven track record of designing and building modern Data Warehouse and Lakehouse architectures. - Strong programming skills in Python (preferred), Go, or Scala. - Expert-level SQL and a deep understanding of relational and non-relational database architectures. - Infrastructure as Code (IaC): Hands-on experience provisioning and managing cloud infrastructure using Terraform and managing cloud logging/observability. - Production Operations: Experience operating production data systems, setting up CI/CD pipelines, and maintaining high reliability. - AI/ML Experience (Plus): Exposure to building data pipelines for AI workloads or integrating AI-based tools/services is a strong plus. - Startup Mindset: Comfortable working in a fast-paced environment with a strong bias for action and ownership. - Communication: Excellent listener and communicator who can collaborate effectively across technical and non-technical teams. Regardless of experience you, - Naturally speak the language of engineers and data scientists, and are also very comfortable talking with people of other disciplines across the business including product, customer success, operations and founders. - Have strong social and emotional intelligence, empathy, and an ability to put yourself in the shoes of others - Take satisfaction in smooth execution of challenging problems and seeing a talented team operating at a high velocity Our Tech Stack; Data Engineering - Languages: Python, SQL - Cloud Platform: GCP (BigQuery, Cloud Functions, Workflows, CloudSQL (Postgres DB), Cloud Storage) - Ingestion & ETL: dlt, DuckDB - Transformation: dbt - Orchestration: Temporal, GCP Workflows Data Science - Core Languages: Python - Analytics Tools: Polars, scikit-learn Infrastructure & Platform Operations - Containerization: Kubernetes - IaC & CI/CD: Terraform, GitHub Actions - Observability: Datadog Data Engineering at Ravio in 2026 This is a key data engineering role at a company where data is at the very heart of our mission and product. We have technical co-founders who know first hand the importance of creating space and focus for engineering teams to do their best work. You’ll be responsible for playing a critical part in our challenge to scale our existing pipelines to thousands of new customers, while continuing to build new pipelines and infrastructure to support new product areas. We’re at an exciting stage that involves 0-to-1 engineering in some areas, and engineering for scale in others. To pull this off you’ll be working alongside many accomplished and world class teammates, who are energised by the work they do and have a high bar for themselves and their colleagues WHY JOIN RAVIO? - Opportunity to be a critical team member in a high-growth startup. - Blend of IC work and leadership, giving you both hands-on impact and career growth. - Remote-friendly, flexible work culture with a high degree of ownership. - Work on meaningful problems that help people get paid fairly and competitively in their careers. COMPENSATION & BENEFITS - £80,000 - £110,000 - 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