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Salary: GBP 100,000 - 120,000 / annual
Ravio is a fast-growing European leader in compensation data and tools, helping companies get pay decisions right through real-time market data tracking and AI-powered insights. The company serves over 1,200 clients and is expanding globally.
You will lead a small team of data engineers within the Engineering organization, combining hands-on technical contribution with line management and coaching. You'll report to the VP Engineering.
HANDS-ON ENGINEERING AND DELIVERY
As a senior technical contributor, you'll design, build, and operate the data pipelines, integrations, and services powering Ravio's compensation benchmarks, customer-facing tools, and AI agents. You'll take a platform engineering approach, creating reliable, reusable capabilities that enable Engineering, Data Science, and Insights teams to build on trusted data without requiring bespoke support for every change.
You'll shape and deliver the data roadmap alongside Product, Data Science, and Insights, prioritizing improvements that deliver customer value, reduce manual work, or address reliability needs while managing complexity and cloud costs. You'll embed data quality, governance, and security into everyday delivery through automated checks, clear ownership, and appropriate access controls.
You'll integrate data systems into shared development, deployment, and monitoring practices using version-controlled transformations, automated tests, and repeatable deployments. You'll own reliability and day-to-day support of production data systems, improving monitoring and recovery, and building reusable ingestion patterns and self-service workflows. You'll leverage AI-assisted tools for development, testing, documentation, and investigation, helping the team use them effectively with appropriate verification and data protection.
TEAM MANAGEMENT AND LEADERSHIP
You'll lead delivery planning and ways of working, keeping priorities, scope, and dependencies visible. You'll participate in shared product prioritization, bringing requests from Data Science, Insights, and Operations into an agreed delivery plan. You'll partner with software engineers, product managers, and data colleagues to make timely decisions and share responsibility for outcomes.
You'll line manage and coach a small team of data engineers, providing regular feedback and supporting their technical and career development. You'll build a supportive, accountable team with shared ownership through pairing, code reviews, documentation, and operational handovers.
TECH STACK
Data Engineering: Python, SQL, dbt, dlt, Google Cloud Platform (Cloud Functions, Workflows, Cloud SQL, Cloud Storage, BigQuery, Pub/Sub, Datastream), PostgreSQL. Data Science: Python (polars, pandas, scikit), Jupyter, SQL, dbt. Infrastructure: GitHub Actions, Terraform, Artifact Registry.
REQUIREMENTS
- Six-plus years' experience in data engineering, with at least two years in a team leadership role
- Strong Python and SQL skills, with experience building and operating production data systems
- Experience with data modelling, transformation frameworks such as dbt, and workflow orchestration
- Experience applying platform engineering principles to data systems (reusable ingestion patterns, clear data interfaces, self-service tooling)
- Experience with cloud infrastructure, infrastructure as code, automated testing, and CI/CD
- Practical understanding of reliable data processing (schema changes, retries, safe reprocessing, backfills)
- Experience using monitoring and data quality checks to investigate failures and improve reliability
- Practical use of AI-assisted engineering tools with sound judgement about verification and security
- Proven ability to mentor engineers, set team goals, and deliver value for users and business
- Comfortable in fast-paced startup environments with bias for action
- Excellent listening and communication skills
- Ability to work across engineering, data science, product, and leadership teams with empathy and strong emotional intelligence
