Senior Snowflake Data Engineer - Remote - £competitive

Jefferson Frank; Greater London; Remote; GBP 75,000 - 100,000; Full time

Job summary

A data solutions company is seeking a Senior Snowflake Data Engineer to join their team. The role offers the opportunity to design and optimize high-performance data pipelines, involving technologies like Snowflake and dbt. Candidates should have over 7 years in data engineering, with strong SQL and Python skills. The successful applicant will work in a collaborative environment focused on engineering best practices, alongside an attractive salary and professional development support.

Benefits

Professional development and certification 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).

Responsibilities

• Design, develop, and optimise scalable data pipelines in Snowflake.
• Build and maintain dbt models with robust testing and documentation.
• Implement CI/CD pipelines and manage deployments via Git.

Skills

Data engineering experience

Snowflake

dbt

Advanced SQL

Python programming

Git and CI/CD

ETL/ELT tools

Cloud platforms (AWS, Azure)

Tools

Snowflake

dbt

Airflow

Tableau

Power BI

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.