Description

Struggling with unreliable pipelines, slow data delivery, or a messy data platform that's hard to scale? I help data teams fix that. I'm a Senior Data Engineer and Architect specialising in Snowflake, dbt, and AWS, designing and building cloud-native data platforms that are production-grade, cost-efficient, and built to last. What sets me apart is the ability to operate at both architecture and execution level. I don't just advise, I deliver. Typical projects include greenfield platform builds and migrations, Medallion architecture implementations, CDC pipelines, semantic layers, DataOps and CI/CD setup, and modern data stack transformations. I've reduced time-to-insight by 75%, saved organisations £70-80k annually, and delivered platforms serving 200+ users in regulated environments including UK central government.

Industry field of expertise

Languages

English
Native or bilingual

Workplace preferences

Remote only

Primarily works remotely

MetricHouse
Founder and Data Engineer
DIGITAL AND IT
March 2026 - Today (5 months)
MetricHouse designs, builds and manages end-to-end, AI-ready data platforms, from source to dashboard, for SMEs alongside consulting services.
Snowflake DBT SQL Python PowerBI
Companies House
Principal Data Engineer
PUBLIC SECTOR
April 2023 - Today (3 years and 4 months)
- Co-authored the 3-year Enterprise Data Strategy with the CDO and SLT, securing main board approval; owned the 2-year platform roadmap end-to-end, aligning milestones to organisational objectives and stakeholder requirements, eliminating scope creep through a structured backlog process.- Scaled the data engineering and analytics function from 4 to 12 in under two years, personally hiring 7+ engineers and analysts; designed progression frameworks for both manager and IC tracks and maintained zero attrition across the entire function throughout tenure.
- Architected and delivered hands-on, a Medallion Architecture with CDC ingestion into a conformed Kimball model underpinned by a complete custom integrated testing framework; established a governed semantic layer powering self-serve analytics and reducing time-to-insight by 75% across 200+ users.
- Led early AI adoption by creating a centralised natural language search interface using Cortex Search, enabling platform users to query indexed documentation on data transformations, and datasets, empowering users and reducing time-to-answer for technical queries; improved DevEx and time-to-delivery across the engineering team through adoption of agentic tools like dbt Copilot for transformation authoring and creation of semantic layer definitions used to populate the data catalog; platform features are also leveraged by the Data Science team in production LLM models.
Data Strategy Data Governance Self-Serve Analytics Snowflake DBT
Department For Education (ESFA)
Data Engineer
April 2021 - March 2023 (1 year and 11 months)
- Owned development and maintenance of apprenticeship dimensions and facts within an enterprise Kimball snowflake schema serving 150+ analysts across learner outcomes, apprenticeships, provider, and funding domains, supporting the distribution of £67bn in annual education funding to 25,000+ providers with 100% timeliness and accuracy.
- Worked across hundreds of terabytes of sensitive learner PII, grades, and qualification data for every under-18 in the English education system, building deep expertise in data quality, governance, and production reliability at scale.
- Collaborated with Data Architects on cross-functional specifications for new data products, operating above standard IC remit and building enterprise governance foundations that directly informed my later career platform leadership.
SSIS SSRS MSSQL Data Modelling Microsoft Azure