Senior Data Engineer | Snowflake | Airflow | dbt | Python | This role is for builders

About

🚀 Join a fast-moving, investor-backed AI company redefining how enterprise brands understand and activate consumer demand. You'll own the data infrastructure that powers an AI platform trusted by household-name clients across sport, finance, and consumer - built by an exceptionally high-talent-bar team with serious backing and serious ambition.

This isn't a slides-and-stakeholders role. It's hands-on, high-ownership data engineering at a company scaling fast with the runway to match.

Very Important Notes

• This role is for builders - if you're more comfortable presenting than building, this isn't for you
• 5 days onsite NYC
• You'll own a large-scale, proprietary data asset - scale matters, fragility doesn't
• Startup experience is a hard requirement, not a preference

Must-Haves

• Strong hands-on Snowflake experience at multi-terabyte scale
• Proven delivery of fast, resilient data pipelines and orchestration systems
• Proficiency with Airflow, dbt, and/or SQLMesh
• Python backend skills applied to data engineering workflows
• True IC mentality - design, build, ship, own
• Startup or VC-backed environment experience (or equivalent high-bar company)
• AWS infrastructure exposure

Bonus Experience

• Experience enabling AI or agentic access layers - AI retrieval and query interfaces, structured data orchestration
• Exposure to key business systems of record in sales and marketing
• Background in ML feature pipelines or data science workflows
• Degree from a top CS programme

Hands-On Experience With

• Snowflake and modern data warehouse architecture
• Pipeline orchestration - Airflow, dbt, SQLMesh
• Large-scale data integration and transformation
• AWS infrastructure
• Analytics engineering and data modelling

What You'll Be Doing

Pipeline & Platform Ownership

• Own analytics engineering and data modelling across a Snowflake-powered warehouse
• Build and scale integrations with key business systems as the data footprint grows
• Develop fast, resilient pipelines that underpin the core AI platform

AI Infrastructure

• Enable AI retrieval and query interfaces that make intelligent, real-time decisioning possible
• Build the data foundation that powers the platform's most advanced capabilities

Scale & Scope

• Work across a large-scale, proprietary data asset - this is serious infrastructure
• Expand your scope over time, with a clear path to leading the Data Engineering function as the organisation grows

What They're Looking For

• A true IC - hands on keys, not directing from a distance
• 4-8 years of experience building and scaling data infrastructure
• Scrappy, pragmatic, and obsessed with reliability and performance
• Someone who wants to grow with a company, not just execute a brief

If you've got the Snowflake chops, the startup scars, and the IC mentality to own data infrastructure at scale - get in touch for a fast response.