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Confidential company

Job listing

RemoteNot Disclosed

Data Engineering Manager at High-growth global e-commerce platform

Are you a technical leader ready to shape the future of a high-growth e-commerce platform? We are looking for a Data Engineering Manager to lead a talented remote team of four, overseeing mission-critical data architecture and scalable pipelines. With a modern stack featuring GCP, Databricks, and DBT, this role offers the rare chance to be the first management hire in a high-standards engineering department boasting zero turnover. If you balance hands-on technical expertise with a passion for mentoring engineers, this is your opportunity to drive innovation in search, payments, and AI systems while working fully remotely with a supportive, global team.

Overview

Role overview

As the first engineering management hire, you will lead a remote team of four engineers building mission-critical data systems. You will balance hands-on technical architecture with mentorship, driving the development of scalable pipelines and data lakes using GCP and Databricks to power data-driven decisions for an international brand with zero team turnover.

Company

About the company

High-growth global e-commerce platform

Responsibilities

What you will do

  • Lead the architecture and optimization of scalable data pipelines and warehouses using Airflow, DBT, and GCP.
  • Mentor a team of engineers, removing technical roadblocks while maintaining high code quality across payments and core systems.
  • Own the technical hiring process and drive engineering excellence across distributed data processing frameworks like Databricks.

Candidate profile

Who this is a fit for

  • At least 4 years of hands-on data engineering experience with expertise in Python, SQL, and DBT transformation workflows.
  • Proven ability to lead and develop remote engineering teams while maintaining deep technical credibility in cloud-native environments.
  • Experience with orchestration tools like Apache Airflow and familiarity with distributed processing frameworks such as Apache Spark.

What makes it remarkable

Why this role is remarkable

  • Rare opportunity to be the first manager hire in a lean, high-standards engineering department with zero turnover.
  • Lead the transition toward cutting-edge data architecture including AI integrations and advanced cloud-native transformation.
  • Enjoy a stable yet fast-scaling environment offering significant autonomy and professional development toward cloud certifications.

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