Senior Cloud Data Engineer – Work from Home

JR United Kingdom; United Kingdom; Remote; GBP 60,000 - 80,000; Full time

Job summary

A leading company is seeking a Senior Cloud Data Engineer to transform their cloud data infrastructure. This remote role offers the chance to design and implement robust data solutions within an agile team, focusing on data pipelines, models, and platform architecture. Ideal candidates will have extensive SQL and Python experience, along with strong skills in DBT and Snowflake. The position provides flexible hours, private medical cover, and a company pension.

Benefits

Flexible hours

Private medical cover

Company pension

Qualifications

• 4+ years of SQL experience (PostgreSQL, Oracle, or MSSQL).
• 3+ years in Python or PowerShell scripting.

Responsibilities

• Design and deploy cloud-based data platforms using Snowflake, DBT, and related tools.
• Develop performant, scalable ETL/ELT pipelines across varied data sources.

Skills

SQL

Python

API integrations

Data modelling

Automation

Tools

Snowflake

DBT

GIT

Jenkins

Job description

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Senior Cloud Data Engineer – Work from Home, remote

Client: Ocho

Location: remote, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Views: 4

Posted: 12.05.2025

Expiry Date: 26.06.2025

Job Description:

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?

• 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.