Lead Data Engineer
Hybrid (London)£100k - £120kFull-timePosted 1w ago
About the role
Lead a small team of data engineers, hands-on design, build, and operate Ravio’s data systems behind compensation benchmarks, customer tools, and AI agents; combine technical leadership with line management to deliver platform-grade data capabilities.
Responsibilities
- Be a senior technical contributor, building and operating the pipelines, integrations, and data services behind Ravio’s product. Design clear interfaces between ingestion, transformation, and downstream applications so teams can build on trusted data without bespoke support for every change.
- Shape and deliver the data roadmap with Product, Data Science, and Insights. Prioritise improvements that deliver customer value, reduce recurring manual work, or address reliability needs, while keeping complexity and cloud costs under control.
- Build data quality, governance, and security into everyday delivery through automated checks, clear data ownership, and appropriate access controls.
- Work with engineering colleagues to integrate data systems into shared development, deployment, and monitoring practices. Use version-controlled transformations, automated tests, and repeatable deployments, reducing bespoke tooling where it adds unnecessary overhead.
- Own the reliability and day-to-day support of the team’s production data systems, improving monitoring and recovery. Build reusable ingestion patterns and self-service workflows around recurring needs, measuring their value through faster delivery, fewer failures, and less manual support.
- Use AI-assisted tools for development, testing, documentation, and investigation. Help the team use them effectively, with appropriate review of outputs and protection of customer data.
Qualifications
- 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, such as reusable ingestion patterns, clear data interfaces, or self-service tooling that other teams use successfully.
- Experience with cloud infrastructure, infrastructure as code, automated testing, and continuous integration and delivery (CI/CD).
- Practical understanding of reliable data processing, including schema changes, retries, safe reprocessing, and 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, security, and where automation adds value.
- Proven ability to mentor engineers, set team goals, and deliver value for users and the business.
- Comfortable working in a fast-paced startup environment with a bias for action.
- Excellent listening and communication skills.
Skills
Required:PythonSQLdbtCloud infrastructure
Benefits
- £100,000 - £120,000 salary
- 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
- Private healthcare cover (on a medical history disregarded basis) with AXA
- Personal worldwide travel insurance - just in case
- 6 weeks work from anywhere per year
- Income protection insurance
- 16 weeks fully paid birthing parent leave, followed by 4 weeks at 50% pay. For non-birthing parents, 8 weeks fully paid leave.
Last updated Oct 22, 2026. Interested? Apply on the company site.
About Ravio
Bring confidence to compensation
Global tech companies trust Ravio for real-time total reward benchmarking, market trends, and compensation management.
DataCompensation managementBenchmarkingTotal Rewards
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