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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates advanced skills in SQL, Snowflake, and dbt to design and build high-impact data models while ensuring data quality and performance. Capable of translating complex healthcare domains into scalable analytics blueprints and driving self-serve analytics adoption across teams.
Highest-signal resume keywords
Analytics EngineeringSQLSnowflakeDbtData Modelling
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLSnowflakeDbtDimensional ModellingStar SchemasData VaultCloud EnvironmentsData GovernanceAI ToolsData Ingestion
Soft Skills
MentoringCollaborationCommunication
Tools & Technologies
FivetranGitCI/CDAzure
Industry Keywords
HealthcareHealth TechData QualityAutomated TestingSelf-Serve Analytics
Tech Stack
Tools & technologiesAzureCloudPythonSQLVault
About the role
Key responsibilities & impact- Own and evolve the presentation layer of the Snowflake data warehouse
- Model complex healthcare and health tech domains end-to-end using dbt
- Design and build high-impact data models using advanced methodologies
- Translate operational domains into scalable analytics blueprints
- Partner with BI and Analytics teams to understand requirements and deliver production-grade models
- Improve data model performance and Snowflake warehouse design
- Prioritise compute efficiency, scalability, and a seamless end-user experience
- Establish and scale standards for data quality, automated testing, and dbt documentation
- Champion self-serve analytics and empower non-technical colleagues through BI tools
- Mentor teammates and share advanced modelling knowledge
- Contribute through code reviews, sprint planning, and open collaboration
- Support strategic data initiatives and data infrastructure automation
- Collaborate across engineering teams on scalable solutions
Requirements
What you’ll need- Strong, proven experience as an Analytics Engineer within a modern data team
- Advanced skills in SQL, Snowflake, and dbt (Core or Cloud)
- Hands-on data modelling expertise, including Dimensional Modelling, Star Schemas, Data Vault, or OBT
- Ability to translate complex real-world domains into clean, scalable analytics blueprints
- Experience with cloud environments, specifically Azure
- Knowledge of software engineering best practices including Git and CI/CD
- Knowledge of data governance frameworks, including PII management and secure data access
- Experience driving self-serve analytics adoption across cross-functional teams
- Ability to communicate complex technical architecture clearly to analysts and senior leadership
- Active use of AI tools to automate routine tasks and integrate AI into workflows
- Experience with data ingestion tools such as Fivetran or custom Python pipelines is a bonus
- Must work in the UK; visa sponsorship requirement is assessed as part of the application
Benefits
Comp & perks- Share options up to £30,000
- Flexible healthcare cover
- Pension options
- Life insurance
- Hybrid flexible working with core hours of 10am–4pm
- 28 days of holiday plus bank holidays
- Up to 4 weeks to work from anywhere per year
- Enhanced parental leave
- Fertility support
- Parental loss support
- Free healthy breakfasts, snacks, and lunches
- Dog-friendly Shoreditch office