Lead Data Engineer: Snowflake, Airflow & DBT Platform Lead

CRU; Greater London; On-site; GBP 120,000 - 180,000; Full time

Benefits offered by this job

Competitive salary

Flexible benefits

Global growth opportunities

Collaborative environment

Job summary

CRU International is seeking a Lead Data Engineer to own a business domain within its modern Snowflake, Airflow, and dbt data platform. The role blends hands-on technical leadership with team coordination to ensure stable platform operations, data quality, and timely delivery of the product roadmap.

You will shape how data products are designed, built, and improved, delivering reliable analytics for the metals, mining, and fertilizer industries.

Qualifications

• Degree-level education in a technology-focused subject such as Computer Science, Information Technology, or equivalent experience.
• 10+ years of experience in data-related roles, with the majority in data engineering.
• Strong hands-on experience with Snowflake and dbt (3+ years).

Responsibilities

• Lead a small team of data engineers responsible for a specific business domain within the data platform.
• Own the design, development, and ongoing maintenance of scalable data pipelines that support new and existing data products.
• Work closely with internal stakeholders to translate data requirements into technical solutions and communicate delivery plans.
• Ensure data quality, consistency, and reliability through testing, validation, and monitoring.
• Design and implement new pipelines using Airflow, dbt, and Snowflake.
• Contribute to cloud infrastructure on Azure with Terraform.

Skills

Team leadership

Data engineering

Communication

Education

Degree in CS/IT or equivalent

Tools

Snowflake

dbt

Azure

Airflow

Kubernetes

GitHub

Terraform

Job description

CRU International is seeking a Lead Data Engineer to own a business domain within its modern Snowflake, Airflow, and dbt data platform. The role blends hands-on technical leadership with team coordination to ensure stable platform operations, data quality, and timely delivery of the product roadmap.

You will shape how data products are designed, built, and improved, delivering reliable analytics for the metals, mining, and fertilizer industries.