Remote Senior Data Engineer (GCP, AI-Ready Pipelines)

twentysix; Brooklyn; On-site; GBP 44,000 - 67,000; Full time

Job summary

Huge is seeking a Senior Data Engineer to design and develop scalable data architectures on GCP, building pipelines with BigQuery, Dataflow, and Dataform. You will collaborate with stakeholders to translate requirements into reliable data products and explore AI-driven enhancements to data workflows.

The role emphasizes data quality, governance, and performance, with a focus on GA4/GTM integrations and modern analytics ecosystems.

Qualifications

• 5+ years of experience in Data Engineering, with a strong focus on GCP and cloud-based data solutions.
• Advanced hands-on experience with BigQuery, Dataflow, Dataform, Cloud Storage, and other core GCP data services.
• Strong knowledge of data warehousing, data modeling, ETL/ELT pipelines, and scalable data architectures.
• Strong proficiency in SQL and Python for data processing, automation, and pipeline development.
• Experience with GA4 and GTM, particularly for data collection, tracking, and analytics integrations.
• Exposure to AI / Agentic Engineering and the ability to apply AI-driven solutions to data engineering workflows.
• Strong understanding of data quality, governance, performance optimization, and scalable pipeline design.
• GCP certification is highly preferred; Claude Engineer certification or a similar relevant AI certification is a plus.
• Strong English communication skills (B2/Upper-Intermediate or higher).
• Ability to collaborate effectively with technical and business stakeholders and translate business requirements into reliable data solutions.
• Comfortable working in fast-paced, cross-functional environments.

Responsibilities

• Design and develop scalable data architectures and cloud-based data solutions using GCP.
• Build and maintain data pipelines using BigQuery, Dataflow, Dataform, Cloud Storage, and other GCP data services.
• Develop data warehousing, data modeling, and ETL/ELT solutions.
• Use SQL and Python for data processing, automation, and pipeline development.
• Implement and support GA4 and GTM integrations for data collection, tracking, and analytics.
• Ensure data quality, governance, performance, and reliability across data solutions.
• Explore and integrate AI-driven and agentic solutions into data engineering workflows.
• Collaborate with technical and business stakeholders to translate requirements into scalable data solutions.
• Contribute to a fast-paced, cross-functional environment and continuously improve engineering practices.

Skills

GCP

BigQuery

Dataflow

Dataform

SQL

Python

GA4

GTM

Data modeling

ETL/ELT

AI / Agentic Engineering

Data governance

English communication

Education

Engineering degree

Tools

BigQuery

Dataflow

Dataform

Cloud Storage

GA4

GTM

Job description

Huge is seeking a Senior Data Engineer to design and develop scalable data architectures on GCP, building pipelines with BigQuery, Dataflow, and Dataform. You will collaborate with stakeholders to translate requirements into reliable data products and explore AI-driven enhancements to data workflows.

The role emphasizes data quality, governance, and performance, with a focus on GA4/GTM integrations and modern analytics ecosystems.