Data Engineering Manager at High-growth global e-commerce platform at Jack & Jill/External ATS

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

01 Apr, 26

Salary

0.0

Posted On

01 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Python, SQL, DBT, Airflow, GCP, Databricks, Cloud-native, Mentorship, Technical Hiring, Distributed Processing, Apache Spark

Industry

Staffing and Recruiting

Description

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 Jack's network. The next step is to [speak to Jack](https://jackandjill.ai/jack/job-listing?utm_source=job_listing&utm_medium=job_board&utm_campaign=73ef07b8-cabd-4137-8397-31dd1890364b). Data 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, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're 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 I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate. Next steps Step 1. Visit [our website](https://jackandjill.ai/jack/job-listing?utm_source=job_listing&utm_medium=job_board&utm_campaign=73ef07b8-cabd-4137-8397-31dd1890364b). Step 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 you're 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 isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network. Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description. We appreciate this can make them look a bit suspect, but there isn't 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 we're giving his services away for free.

Responsibilities

You will lead the architecture and optimization of scalable data pipelines and warehouses while mentoring a team of engineers. Additionally, you will own the technical hiring process and drive engineering excellence across distributed data processing frameworks.