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Data engineering manager

Slough
Harnham Search & Selection
Engineering manager
Posted: 16h ago
Offer description

DATA ENGINEERING MANAGER
BRIGHTON - 1 DAY PER WEEK
£85,000

Our client is seeking a proactive and experienced Data Engineering Manager to join their fast-growing tech company. If you're passionate about AI-driven sales solutions and want to lead a talented team, this could be your next exciting opportunity.

THE TEAM:

This company has built a cutting-edge AI-driven customer interaction platform that helps their customers find exactly what they need, acting as an intelligent online assistant. Thanks to significant investment, they've grown rapidly and are now expanding into new industries. They're especially excited about their next-generation AI product, designed to transform the sales journey, making it more human-like and insightful. This new product is already live with a few existing clients and catching the attention of new clients.

THE ROLE:

You'll join their Data team, reporting directly to their Head of Data, and play a crucial role in shaping their architecture and systems. You'll lead and mentor a team of three talented Data Engineers, guiding them on projects and helping gather requirements. This is a hands-on role where you'll be actively involved in product development, supporting both their existing solutions and their cutting-edge AI platform.

YOUR SKILLS AND EXPERIENCE:

The ideal Data Engineering Manager will have:

* Proven experience in a Data Engineering role, ideally with some prior management or lead responsibility.
* A real passion for coaching and developing engineers.
* Hands-on experience with their tech stack - any cloud, Snowflake (or equivalent), Python, Airflow, Docker
* Ability to juggle multiple products and effectively gather requirements.
* Experience with real-time data products is a big plus.
* Strong communication skills and a good academic background.

HOW TO APPLY:

Ready to take the next step in your career with a leading global firm? Please register your interest by sending your CV via the Apply link on this page.

Desired Skills and Experience
Snowflake, Python, Airflow, Docker

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