Snowflake Data Engineer

Tenth Revolution Group; Greater London; Hybrid; GBP 85,000 - 100,000; Full time

Job summary

A leading data solutions company is looking for a Senior Snowflake Data Engineer to join their dynamic team in Greater London. This role involves designing, building, and optimising data pipelines using Snowflake and dbt, with a focus on test-driven development and cloud technologies. The ideal candidate will have over 7 years of data engineering experience, including hands-on Snowflake and DBT expertise. A competitive salary of £85k-£100k is offered along with professional development opportunities.

Benefits

Professional development support

Collaborative, engineering-focused culture

Competitive salary and benefits package

Qualifications

• 7+ years in data engineering roles.
• 3+ years hands-on experience with Snowflake.
• 2+ years production experience with DBT (mandatory).
• Advanced SQL and strong Python programming skills.
• Experience with Git, CI/CD, and DevOps practices.

Responsibilities

• Design, develop, and optimise scalable data pipelines in Snowflake.
• Build and maintain dbt models with robust testing.
• Optimise pipelines to reduce processing time and costs.

Skills

Snowflake

DBT

SQL

Python

Git

Tools

Airflow

AWS

Azure

Job description

Senior Snowflake Data Engineer - Hybrid - £85k-£100k

About the Role

I am looking for an experienced Senior Snowflake Data Engineer to join a dynamic team working on cutting-edge data solutions. This is an exciting opportunity to design, build, and optimise high-performance data pipelines using Snowflake, dbt, and modern engineering practices. If you are passionate about data engineering, test-driven development, and cloud technologies, we'd love to hear from you.

Key Responsibilities

• Design, develop, and optimise scalable data pipelines in Snowflake.
• Build and maintain dbt models with robust testing and documentation.
• Apply test-driven development principles for data quality and schema validation.
• Optimise pipelines to reduce processing time and compute costs.
• Develop modular, reusable transformations using SQL and Python.
• Implement CI/CD pipelines and manage deployments via Git.
• Automate workflows using orchestration tools such as Airflow or dbt Cloud.
• Configure and optimise Snowflake warehouses for performance and cost efficiency.

Required Skills & Experience

• 7+ years in data engineering roles.
• 3+ years hands‑on experience with Snowflake.
• 2+ years production experience with DBT (mandatory).
• Advanced SQL and strong Python programming skills.
• Experience with Git, CI/CD, and DevOps practices.
• Familiarity with ETL/ELT tools and cloud platforms (AWS, Azure).
• Knowledge of Snowflake features such as Snowpipe, streams, tasks, and query optimisation.

Preferred Qualifications

• Snowflake certifications (SnowPro Core or Advanced).
• Experience with DBT Cloud and custom macros.
• Exposure to real-time streaming (Kafka, Kinesis).
• Familiarity with data observability tools and BI integrations (Tableau, Power BI).

On offer

• Opportunity to work with modern data technologies and large-scale architectures.
• Professional development and certification support.
• Collaborative, engineering-focused culture.
• Competitive salary and benefits package.

Interested?

Apply now with your CV highlighting your Snowflake, DBT and DevOps experience.