Global Data Engineer — ETL Architect & Analytics

Graham & Brown Holdings - a family of companies; Blackburn; On-site; GBP 40,000 - 49,000; Full time

Benefits offered by this job

Hybrid working – one day remote per wk

Birthday off

Discounts up to 60% on Graham & Brown

Pension scheme 10%

Free parking

Job summary

Graham & Brown Holdings - a family of companies in the UK is seeking a Data Engineer to design, build and maintain data pipelines, integrating platforms like Google Analytics, Meta, and ERP systems to deliver accurate, timely insights across the business.

You will collaborate with cross-functional teams, implement data models, ensure data quality and governance, and contribute to scalable analytics that support global reporting and cost efficiency.

Qualifications

• Proven experience designing data pipelines and integrations.
• Strong SQL and database management skills are required.
• Experience with NetSuite ERP is highly desirable.
• Proficiency with ETL/ELT tools and data platforms.

Responsibilities

• Design, build, and maintain data pipelines and integrations.
• Unify data from Google Analytics, Meta, and other channels with ERP systems.
• Automate data processing and reporting workflows for stakeholders.
• Cleanse, transform, and reconcile data to ensure quality and compliance.
• Collaborate with cross-functional teams to define data requirements.
• Create data models, schemas, and integration workflows.
• Implement monitoring and testing for data pipelines.

Skills

Strong SQL

Database management

Cross-functional collaboration

Tools

NetSuite ERP

SSIS

Talend

dbt

Google Analytics

BigQuery

Meta Ads

Azure

AWS

GCP

Databricks

PowerBI

Job description

Graham & Brown Holdings - a family of companies in the UK is seeking a Data Engineer to design, build and maintain data pipelines, integrating platforms like Google Analytics, Meta, and ERP systems to deliver accurate, timely insights across the business.

You will collaborate with cross-functional teams, implement data models, ensure data quality and governance, and contribute to scalable analytics that support global reporting and cost efficiency.