Hybrid Data Engineer - Global ETL & Analytics Lead

Graham & Brown Holdings - a family of companies; Blackburn (OK); Hybrid; USD 54,000 - 65,000; Full time

Benefits offered by this job

Hybrid working

Birthday off

Pension 10%

Product discounts 60%

Free parking

Job summary

Graham & Brown Holdings - a family of companies is seeking a Data Engineer to design, build and maintain data pipelines and integrations. You will unify data from Google Analytics, Meta and other platforms with ERP systems to deliver accurate, automated insights for global reporting and decision-making.

Join a data-driven IT & Analytics team, contributing to governance, scalable architecture and cost-aware data strategies across the group. Hybrid working and a competitive package await.

Qualifications

• Demonstrated experience designing and building data pipelines.
• Strong SQL and database management skills with data modeling ability.
• Experience integrating data from digital platforms and ERP systems.
• Proficiency in Python or R for data ingestion and automation.
• Familiarity with cloud data platforms and BI tools.

Responsibilities

• Design, build and maintain ETL/ELT pipelines and data integrations.
• Unify data from Google Analytics, Meta and other channels with ERP systems.
• Automate data processing and reporting workflows for stakeholders.
• Ensure data quality, governance and cost-aware architecture.
• Document data models, schemas and integration workflows.
• Collaborate with cross-functional teams to meet business needs.

Skills

Data Engineer experience

SQL & DBMS

NetSuite ERP

ETL Tools

Python

BigQuery

Cloud platforms

Databricks

Power BI

Tools

NetSuite ERP

SSIS

Talend

dbt

Job description

Graham & Brown Holdings - a family of companies is seeking a Data Engineer to design, build and maintain data pipelines and integrations. You will unify data from Google Analytics, Meta and other platforms with ERP systems to deliver accurate, automated insights for global reporting and decision-making.

Join a data-driven IT & Analytics team, contributing to governance, scalable architecture and cost-aware data strategies across the group. Hybrid working and a competitive package await.