Hybrid Data Engineer: Build Global Data Pipelines

Graham Brown & Co Ltd; United States; Hybrid; USD 58,000 - 71,000; Full time

Benefits offered by this job

Bonus potential

Hybrid working

Birthday off

Product discounts

Pension plan

Parental leave

Parking & company vehicle

Job summary

Graham & Brown is seeking a skilled Data Engineer to design, build, and maintain data pipelines and integrations. You will unify data from Google Analytics, Meta, and other channels, ensuring automated, insightful delivery for global reporting and decision-making.

The role emphasizes governance, analytics enablement, and scalable architecture across the business. The team collaborates across functions to define data models, monitor pipelines, and optimise costs while enabling real-time insights

Qualifications

• Proven data engineering experience designing and maintaining pipelines.
• Strong SQL and database management skills with ERP integration.
• Hands-on with ETL/ELT tools: SSIS, Talend, dbt; Python or R scripting.
• Experience ingesting data from Google Analytics, Meta and digital platforms.
• Familiarity with cloud platforms: Azure, AWS, or GCP; governance awareness.

Responsibilities

• Develop, maintain, and optimise ETL/ELT pipelines for NetSuite.
• Integrate external data sources (GA, Meta) with ERP and systems.
• Automate data processing and reporting workflows for stakeholders.
• Cleanse, transform, reconcile data; ensure quality and compliance.
• Collaborate to align data models with business needs and requirements.
• Build data models, schemas, and integration workflows; document them.
• Implement monitoring and testing for data pipelines; troubleshoot issues.
• Contribute to long-term data strategy and scalable architecture.
• Manage data costs and ROI; support global reporting and analytics.

Skills

SQL

Database management

Python

R

ETL/ELT

BigQuery

Analytics platforms

Tools

NetSuite ERP

SSIS

Talend

dbt

Databricks

Power BI

Job description

Graham & Brown is seeking a skilled Data Engineer to design, build, and maintain data pipelines and integrations. You will unify data from Google Analytics, Meta, and other channels, ensuring automated, insightful delivery for global reporting and decision-making.

The role emphasizes governance, analytics enablement, and scalable architecture across the business. The team collaborates across functions to define data models, monitor pipelines, and optimise costs while enabling real-time insights