Senior Cloud Data Engineer – Work from Home
About the Role
My client is looking for a Senior Data Engineer to help lead the transformation of their cloud data infrastructure.
This is an exciting opportunity to work within a highly autonomous team building secure, scalable, and modern data solutions that support a software ecosystem.
You’ll design and implement robust data pipelines, models, and platform architecture – enabling better decision-making, reporting, and real-time data services. The environment is agile, forward-thinking, and full of opportunities for ownership and innovation.
Key Responsibilities
- Design and deploy cloud-based data platforms using Snowflake, DBT, and related tools
- Develop performant, scalable ETL/ELT pipelines across varied data sources
- Build and maintain dimensional models using Kimball, Data Vault, or Data Mesh methodologies
- Collaborate with cross-functional teams including product, analytics, and engineering
- Ensure data quality, documentation, and lifecycle management
Ideal Candidate Profile
- 4+ years of SQL experience (PostgreSQL, Oracle, or MSSQL)
- 3+ years in Python or PowerShell scripting
- Hands-on with API integrations (REST, SOAP)
- Strong experience with DBT and Snowflake
- Confident in data modelling, automation, and testing frameworks
- Familiarity with GIT, Jenkins, and Agile environments
What’s in it for you?
- 100% remote working
- Flexible hours
- Private medical cover
- Company pension
Why Apply?
This is a standout opportunity to play a key role in building a modern data platform from the ground up, within a high-performing team.
For more information on this opportunity, connect with Neill Ferguson on LinkedIn or submit your CV via the link below.
