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

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profile Job Location:

London - UK

profile Monthly Salary: Not Disclosed
Posted on: 15 hours ago
Vacancies: 1 Vacancy

Job Summary

This is a job that Jill our AI Recruiter is recruiting for on behalf of one of our customers.

She will pick the best candidates from Jacks network.

The next step is to speak to Jack( Engineering Manager at High-growth global e-commerce platform

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.

Who are Jack & Jill

Ok Ill go first. Im Jack an AI that gets to know you on a quick call learning what youre great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up supporting you with applications interview prep and moral support.

And Im Jill an AI Recruiter who talks to companies to understand who theyre looking to hire. Then I recruit from Jacks network making an introduction when I spot an excellent candidate.

Next steps

Step 1. Visit our website( 2. Click Talk to Jack.

Step 3. Talk to Jack so he can understand your experience and ambitions.

Step 4. Jack will make sure Jill (the AI agent working for the company) considers you for this role.

Step 5. If Jill thinks youre a great fit and her client wants to meet you they will make the introduction.

Step 6. If not Jack will find you excellent alternatives. All for free.

We never post fake jobs

This isnt a trick. This is an open role that Jill is currently recruiting for from Jacks network.

Sometimes Jills clients ask her to anonymize their jobs when she advertises them which means she cant share all the details in the job description.

We appreciate this can make them look a bit suspect but there isnt much we can do about it.

Give Jack a spin! You could land this role. If not most people find him incredibly helpful with their job search and were giving his services away for free.


Required Experience:

Manager

This is a job that Jill our AI Recruiter is recruiting for on behalf of one of our customers.She will pick the best candidates from Jacks network.The next step is to speak to Jack( Engineering Manager at High-growth global e-commerce platformHigh-growth global e-commerce platformAs the first enginee...
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Key Skills

  • Digital Marketing
  • Marketing
  • Google Analytics
  • Growing Experience
  • Conversion Optimization
  • Google AdWords
  • Hybris
  • Magento
  • Account Management
  • SEO
  • E-Commerce
  • Analytics

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Jack helps candidates find the perfect job and Jill helps companies find the perfect candidate.

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