Senior Snowflake Data Engineer - Remote - £competitive

Tenth Revolution Group; City Of London; Remote; GBP 70,000 - 90,000; Full time

Job summary

A leading technology solutions provider is seeking an experienced Senior Snowflake Data Engineer to join their team. The role involves designing, building, and optimising high-performance data pipelines using Snowflake and dbt. Candidates should have over 7 years of experience in data engineering, with significant proficiency in Snowflake and dbt. The position offers a competitive salary, professional development opportunities, and a collaborative work culture. This is a remote role based in the UK.

Benefits

Professional development and certification support

Collaborative 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.
• Familiarity with ETL/ELT tools and cloud platforms (AWS, Azure).
• Knowledge of Snowflake features such as Snowpipe, streams, and tasks.

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.
• Optimise pipelines to reduce processing time and compute costs.
• Develop modular transformations using SQL and Python.
• Implement CI/CD pipelines and manage deployments via Git.
• Automate workflows using orchestration tools.

Skills

Data engineering

Snowflake

dbt

SQL

Python

Git

CI/CD

DevOps practices

ETL/ELT tools

Cloud platforms (AWS, Azure)

Job description

Senior Snowflake Data Engineer - Remote - competitive

About the Role

We are 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).

What We 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.