Data Engineer

Overview

We’re on the lookout for a Data Engineer to help us drive growth by turning messy eCommerce data into clean, actionable insights and scalable dashboards!

The Challenge

As our eCommerce business continues to grow, so does the complexity and volume of our data. We’re looking for a Data Engineer who can take ownership of building and maintaining our data infrastructure—ensuring our dashboards are automated, scalable, and delivering insights we can trust. This role is critical to help us unlock smarter decision-making across marketing, sales, and operations.

Day In the Life of a Data Engineer at GT Ecom
-Build and optimize data pipelines to collect, process, and store data from platforms like Shopify, Google Ads, Meta, Klaviyo, and other marketing/sales tools.
-Design and maintain our data warehouse architecture (BigQuery, Snowflake, or similar).
-Collaborate with analysts, marketers, and developers to ensure data is accessible, clean, and trustworthy.
-Implement data quality checks, automated alerts, and ETL/ELT pipelines.
-Integrate third-party APIs and automate data reporting processes.
-Enable scalable dashboards and support self-service analytics using tools like Looker, Tableau, or Power BI.

Early Success Milestones for this role
-You improved existing dashboards and built new, more advanced dashboards that enabled better decision-making.
-You automated data flows, eliminated manual reporting, and helped the team act faster on clean and accurate data.
-You helped structure our data foundation for long-term scalability and team-wide accessibility.

Your Team When You Join Us
You’ll report directly to our COO and collaborate closely with our marketing, tech, and analytics teams to support data-driven decisions across the business.

We would love to hear from you if…
-You have previous experience in similar role
-You have strong experience in data analytics and business intelligence in a fast-paced environment.
-You are proficient in SQL and cloud data warehouses (e.g., BigQuery, Redshift, Snowflake).
-You are skilled in Python for building ETL pipelines and automation.
-You are familiarity with eCommerce data sources like Shopify, GA4, Meta Ads, Google Ads, and Klaviyo.
-You are experienced with data orchestration tools such as Airflow, dbt, or similar is a strong plus.
-You are proactive—you enjoy improving systems before they're broken and making sense of messy data.

Couple of the notes about the role
-This is not a salaried position. This is an Independent Contractor role.
-You must be able to commit at least 8 hours per day, 40 hours per week. Schedule is negotiable.
-We require everybody in the team to use Hubstaff to track hours worked.

Job Type: Full-time

Pay: ₹1,280.00 - ₹1,780.00 per hour

Expected hours: 40 per week

Application Question(s):

• What is your expected hourly rate in Euros?

Work Location: Remote