Data Engineer, eCommerce x2

Data Engineer (BigQuery | GCP | eCommerce)

Location: Remote
Duration: Contract (12+ months, potential for extension)

Overview

We are seeking a Data Engineer with deep expertise in Google Cloud Platform (GCP), BigQuery, and SQL, along with experience supporting eCommerce data ecosystems.

This role will focus on building scalable, high-performance data pipelines and models that power analytics, customer insights, and business-critical decision-making across digital commerce platforms. The ideal candidate brings a strong engineering mindset, hands-on development experience, and a solid understanding of eCommerce data such as transactions, customer behavior, and digital interactions.

Key Responsibilities

• Design, develop, and optimize data pipelines and ELT processes using BigQuery and GCP services

• Write and tune complex, high-performance SQL queries across large-scale datasets

• Build and maintain data models to support reporting, analytics, and business intelligence

• Ingest and transform data from eCommerce platforms (orders, customers, product catalogs, clickstream data)

• Partner with product, analytics, and business teams to translate requirements into scalable data solutions

• Ensure data quality, governance, and reliability across the data ecosystem

• Optimize performance and cost efficiency within BigQuery and GCP environments

Required Qualifications

• 4+ years of experience in Data Engineering

• Strong hands-on experience with BigQuery

• Advanced proficiency in SQL (complex joins, window functions, performance tuning)

• Experience working within Google Cloud Platform (GCP)

• Experience supporting eCommerce or digital platforms (transactions, customer data, clickstream, etc.)

• Strong understanding of data modeling, ETL/ELT, and large-scale data processing

Preferred Qualifications

• Experience with Python for data processing or automation

• Familiarity with data orchestration tools (e.g., Airflow)

• Experience with streaming data or real-time processing

• Exposure to analytics tools (Looker, Tableau, etc.)

• Background in high-growth or enterprise-scale digital environments

What We're Looking For

• Strong ownership mindset with the ability to build and scale data solutions end-to-end

• Ability to work in fast-paced, data-driven environments (especially eCommerce)

• Engineers who understand both data infrastructure and business impact

• Effective communicators who can collaborate across technical and non-technical teams