Cloud Data Engineer — Build a Modern Data Platform

Pleiad Group; City Of London; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Flexible/hybrid working

Job summary

Pleiad Group is seeking an experienced Data Engineer to design, build, and maintain scalable cloud-based data platforms that support reporting, insight, and decision-making. You will work with analytics, engineering, and business teams to deliver trusted, well-modelled data.

You will develop ELT pipelines, implement data models, and optimise Snowflake structures while leveraging Kubernetes, Terraform, and CI/CD practices in a hybrid work setting across the UK.

Qualifications

• Extensive experience with dbt and Snowflake in commercial settings.
• Strong Python and SQL skills for data processing and pipeline development.
• Hands-on use of Microsoft Azure services in data platform projects.
• Experience with Fivetran or similar managed data integration tools.
• Kubernetes and containerised workloads in production.
• Git-based development workflows and code reviews.
• Experience designing automated CI/CD pipelines for data platforms.
• Knowledge of dimensional modelling using Kimball methods.
• Experience with Data Vault models and governance concepts.

Responsibilities

• Build and maintain reliable ELT pipelines using Fivetran, Snowflake, and dbt.
• Develop reusable, tested data models following Kimball and Data Vault principles.
• Write high-quality Python code for data processing, automation, and integration.
• Design and optimize Snowflake data structures, queries, and workloads.
• Deploy and operate containerised data services using Kubernetes on Microsoft Azure.
• Create and maintain CI/CD pipelines for data transformations and platform components.
• Manage source control, branching, pull requests, and code reviews using Git.
• Implement automated data-quality tests, monitoring, and alerting.
• Collaborate with analysts, data scientists, software engineers, and stakeholders to translate requirements into robust data solutions.
• Maintain technical documentation and promote engineering best practices.

Skills

dbt

Snowflake

Python

SQL

Microsoft Azure

Fivetran

Kubernetes

Git

CI/CD

Kimball modelling

Data Vault

Data governance

Tools

Terraform

Azure DevOps

GitHub Actions

Job description

Pleiad Group is seeking an experienced Data Engineer to design, build, and maintain scalable cloud-based data platforms that support reporting, insight, and decision-making. You will work with analytics, engineering, and business teams to deliver trusted, well-modelled data.

You will develop ELT pipelines, implement data models, and optimise Snowflake structures while leveraging Kubernetes, Terraform, and CI/CD practices in a hybrid work setting across the UK.