AI-Ready Data Engineer – Azure ETL & Analytics

Fourth; Macclesfield; Hybrid; GBP 65,000 - 90,000; Full time

Benefits offered by this job

Holidays 25+ with birthday off

Hybrid working

Laptop and equipment

Healthcare expense claims

Certifications support

Annual meet ups

Pension and life insurance

Cycle to work

On-demand pay

Job summary

Fourth is seeking a Data Engineer to design, build, and maintain data pipelines and models on an Azure-based cloud platform. You will collaborate with analytics engineers and business stakeholders to deliver data products for FP&A, Commercial, Product, and AI teams.

The role emphasizes AI-native, scalable data infrastructure, governance, testing, and cost optimization within a collaborative, hybrid environment.

Qualifications

• 3+ years in data engineering or closely related role.
• Bachelor’s degree in Computer Science, Data Engineering, or a related field.

Responsibilities

• Build, maintain, and optimise scalable ETL/ELT pipelines on Azure Data Cloud Platform.
• Develop and refine data models to support BI reporting and ML/AI use cases.
• Write efficient T-SQL and PySpark code following team standards.
• Contribute to data governance, testing, and CI/CD pipelines.

Skills

T-SQL

PySpark

Python

Azure

Git

CI/CD

English

Education

Bachelor’s degree in Computer Science or related field

Tools

Azure Data Factory

Microsoft Fabric

SSMS

Azure Storage Explorer

Git

Job description

Fourth is seeking a Data Engineer to design, build, and maintain data pipelines and models on an Azure-based cloud platform. You will collaborate with analytics engineers and business stakeholders to deliver data products for FP&A, Commercial, Product, and AI teams.

The role emphasizes AI-native, scalable data infrastructure, governance, testing, and cost optimization within a collaborative, hybrid environment.