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

Jack & Jill/External ATS; Remote; GBP 70,000 - 90,000; Full time

Job summary

A dynamic e-commerce platform is seeking a Data Engineering Manager to lead a remote team of engineers in building critical data infrastructures. This position involves hands-on architecture and mentorship while developing scalable data pipelines using GCP and Databricks. Ideal candidates will have at least 4 years of data engineering experience and proven leadership in remote settings. This role offers substantial autonomy and a pathway to professional development in a fast-scaling environment.

Qualifications

• At least 4 years of hands-on data engineering experience.
• Proven ability to lead and develop remote engineering teams.
• Experience with orchestration tools like Apache Airflow.

Responsibilities

• Lead the architecture and optimization of scalable data pipelines and warehouses.
• Mentor a team of engineers, removing technical roadblocks.
• Own the technical hiring process and drive engineering excellence.

Skills

Python

SQL

DBT transformation workflows

Apache Airflow

Databricks

Job description

Data Engineering Manager

High-growth global e-commerce platform

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.

Location: Remote

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.

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.

The ideal candidate

• 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.

We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status, or disability status.