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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data architecture, data pipeline design, and data governance, with a strong focus on collaboration with non-engineers and stakeholders. Proficient in SQL and Python, with hands-on experience in tools like Snowflake, dbt, and Prefect.
Highest-signal resume keywords
Advanced SQLPython ProgrammingData Pipeline DesignProduction Experience with dbtData Governance Experience
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 ArchitectureData ModelingData ObservabilityData GovernanceData Domain OwnershipAI Coding EnvironmentsCode RefactoringTest GenerationWorkflow AutomationDocumentation
Soft Skills
Excellent Communication SkillsStakeholder Engagement
Tools & Technologies
SnowflakeDbtGitHubPrefectAzure Data FactoryClaude CodeCodex
Industry Keywords
Data PipelinesData ModelsData Quality TestsUsage MonitoringPerformance Monitoring
Tech Stack
Tools & technologiesAzurePythonSnowflakeSQL
About the role
Key responsibilities & impact- Define data architecture, including data-domain boundaries, structures across business areas and data layers, and layer content from raw to staging
- Build and maintain common frameworks for business domains, including specifications, requirements templates, standards and documentation
- Design, build and maintain data pipelines and data models
- Support business domains joining Reflect, including capability assessment, support-scope agreement and boundary enforcement
- Develop a self-service approach that helps users find, understand and use data
- Establish data observability, including freshness and quality tests, usage and performance monitoring, and alert routing
- Review pull requests and documentation from team members and business-domain developers
- Own key workstreams within the 2027 roadmap
- Work hands-on with Snowflake, dbt, GitHub, Prefect and Azure Data Factory, as well as AI coding agents such as Claude Code and Codex
Requirements
What you’ll need- Advanced SQL and Python
- Production experience with dbt in a large project, including maintaining models, tests, documentation and dependencies between projects
- Experience working with non-engineers who build and ship their own data, and colleagues who write their own queries, models or reports
- Full fluency in English, spoken and written
- Excellent communication skills, with the ability to engage effectively with stakeholders
- Production experience with Prefect, including schedules, retries, backfills and analysis of failed runs (advantage)
- Experience setting data architecture (advantage)
- Experience with domain-oriented data ownership (advantage)
- Data governance experience focused on ownership roles, data-product reliability criteria, catalogue metadata and access management (advantage)
- Experience with AI coding environments such as Claude Code or Codex, including code refactoring, test generation, documentation or workflow automation (advantage)
Benefits
Comp & perks- Annual bonus
- Employee Pension Scheme, paid in full by the employer
- Well-being package: Multisport card or holiday subsidy, life insurance, lunch card and gift cards
- Private medical care, with telemedicine and rehabilitation
- Support from the Employee Foundation
- Hybrid work 3 days in the office
- Flexible working hours
- Modern office with daylight, fresh air and high-quality equipment
- Parking spaces for employees
- Massages in the office
- Referral programme
- Employee discount on VELUX products