Lead Data Engineer - Snowflake Pipelines and Data Quality

Curaleaf International; Greater London; Hybrid; GBP 65,000 - 100,000; Full time

Job summary

Curaleaf International is seeking a Data Engineer to own and scale its data platform. You will build reliable pipelines into Snowflake, raise data quality, and lay the foundations for analytics and AI work.

The role is hands-on, requiring prior production-pipeline experience and the ability to shape data governance in a regulated business. Our team is remote-first: fully remote in the UK or hybrid from London.

Qualifications

• Proficiency in Python and SQL to build and run production data pipelines.
• Experience with a cloud data warehouse, ideally Snowflake.
• Hands-on orchestration tool experience and CI/CD, version control and testing.
• Terraform or similar IaC, and AWS.
• Data modelling and transformation with dbt or similar.
• Experience in regulated environments such as healthcare, pharmaceuticals or financial services.
• ERP integrations (Business Central, Sage).

Responsibilities

• Design, build and run ingestion and transformation pipelines into Snowflake from ERP, pharmacy, clinic, logistics and finance systems.
• Own orchestration, monitoring and alerting for reliable pipelines.
• Build and maintain dbt models for a single source of truth.
• Measure and publish data quality and address root causes.
• Manage infrastructure as code and keep the platform secure and cost-efficient.
• Apply data access controls within approved scopes.
• Review code and set engineering standards; support data roles across units.

Skills

Python

SQL

Data pipelines

Data quality

Cloud data warehouse

Snowflake

dbt

Terraform

AWS

CI/CD

Version control

Airflow

Power BI

ERP integration

Communication

Tools

Snowflake

dbt

Terraform

AWS

CI/CD

Git

Airflow

Power BI

Job description

Curaleaf International is seeking a Data Engineer to own and scale its data platform. You will build reliable pipelines into Snowflake, raise data quality, and lay the foundations for analytics and AI work.

The role is hands-on, requiring prior production-pipeline experience and the ability to shape data governance in a regulated business. Our team is remote-first: fully remote in the UK or hybrid from London.