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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data engineering with a strong focus on building and operating production data systems, implementing data quality and governance, and leading a team of engineers. Proficient in Python, SQL, and cloud infrastructure, with a commitment to delivering value through effective collaboration and mentorship.
Highest-signal resume keywords
Data Engineering LeadershipPython ProgrammingSQL ProficiencyCloud Infrastructure ExperienceData Quality Implementation
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EngineeringProduction Data SystemsData ModellingWorkflow OrchestrationInfrastructure as CodeAutomated TestingCI/CDReliable Data ProcessingMonitoringData Quality Checks
Soft Skills
Excellent CommunicationMentoringTeam LeadershipCollaborationListening Skills
Tools & Technologies
AI-Assisted Engineering ToolsDbtVersion ControlAutomated TestsSelf-Service Workflows
Industry Keywords
Data GovernanceData OwnershipCloud Costs ManagementFast-Paced Startup EnvironmentUK Work Eligibility
Tech Stack
Tools & technologiesCloudPythonSQL
About the role
Key responsibilities & impact- Lead a small team of data engineers within the Engineering team
- Design, build, and operate data systems behind compensation benchmarks, customer-facing tools, and AI agents
- Build and operate production pipelines, integrations, and data services
- Design clear interfaces between ingestion, transformation, and downstream applications
- Shape and deliver the data roadmap with Product, Data Science, and Insights
- Prioritise improvements for customer value, reduced manual work, and reliability while controlling complexity and cloud costs
- Implement data quality, governance, security, automated checks, data ownership, and access controls
- Integrate data systems into shared development, deployment, and monitoring practices
- Use version-controlled transformations, automated tests, and repeatable deployments
- Own reliability and day-to-day support of production data systems
- Improve monitoring and recovery, and build reusable ingestion patterns and self-service workflows
- Use AI-assisted tools for development, testing, documentation, and investigation
- Lead delivery planning and ways of working, keeping priorities, scope, and dependencies visible
- Participate in shared product prioritisation
- Partner with software engineers, product managers, and data colleagues on delivery decisions
- Line manage and coach a small team of data engineers
- Provide feedback and support technical and career development
- Build a supportive, accountable team through pairing, code reviews, documentation, and operational handovers
- Report to the VP Engineering
Requirements
What you’ll need- Six-plus years’ experience in data engineering, with at least two years in a team leadership role
- Strong Python and SQL skills
- Experience building and operating production data systems
- Experience with data modelling, dbt, and workflow orchestration
- Experience applying platform engineering principles to data systems
- Experience with cloud infrastructure, infrastructure as code, automated testing, and CI/CD
- Understanding of reliable data processing, including schema changes, retries, safe reprocessing, and backfills
- Experience using monitoring and data quality checks
- Practical use of AI-assisted engineering tools, with judgement about verification, security, and automation
- Ability to mentor engineers, set team goals, and deliver value for users and the business
- Comfortable working in a fast-paced startup environment
- Excellent listening and communication skills
- Comfortable working with Product, Customer Success, Operations, founders, engineers, and data scientists
- Right to work in the UK
- Ability to commute to the London, Camden office three times a week
Benefits
Comp & perks- 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
- Income protection insurance
- 16 weeks fully paid birthing parent leave, followed by 4 weeks at 50% pay
- 8 weeks fully paid leave for non-birthing parents
- Remote-friendly, flexible work culture with a high degree of ownership
- Opportunity for career growth in a high-growth startup
- Meaningful work helping people get paid fairly and competitively
