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- Tasks: Lead a team of Data Engineers and shape architecture for AI-driven solutions.
- Company: Join a fast-growing tech company revolutionising customer interactions with AI.
- Benefits: Enjoy flexible work with one day in the office and competitive salary.
- Why this job: Be part of an innovative team transforming sales with cutting-edge technology.
- Qualifications: Experience in Data Engineering, management skills, and proficiency in relevant tech stack required.
- Other info: Opportunity to mentor and develop talent in a dynamic environment.
The predicted salary is between 51000 - 85000 £ per year.
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.
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Manager (Brighton)
✨Tip Number 1
Familiarise yourself with the company's AI-driven customer interaction platform. Understanding their product will not only help you in interviews but also demonstrate your genuine interest in their work.
✨Tip Number 2
Highlight your leadership experience in data engineering roles. Be prepared to discuss specific examples of how you've successfully managed teams and projects, as this is crucial for the Data Engineering Manager position.
✨Tip Number 3
Brush up on the tech stack mentioned in the job description, especially Snowflake, Python, and Airflow. Being able to speak confidently about these technologies will set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your approach to gathering requirements and managing multiple products. This role requires strong organisational skills, so showcasing your ability to juggle tasks effectively will be beneficial.
We think you need these skills to ace Data Engineering Manager (Brighton)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Data Engineering, especially any management or leadership roles. Emphasise your hands-on experience with relevant technologies like Python, Snowflake, and Docker.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI-driven solutions and your ability to lead a team. Mention specific projects where you've successfully gathered requirements and mentored engineers.
Highlight Relevant Skills: In your application, clearly outline your skills related to real-time data products and your communication abilities. These are key attributes the company is looking for in a candidate.
Follow Application Instructions: Ensure you apply through the provided link on the job posting. Double-check that all required documents are included and that your application is free of errors before submission.
How to prepare for a job interview at Harnham
✨Showcase Your Leadership Skills
As a Data Engineering Manager, you'll be leading a team. Be prepared to discuss your previous management experiences and how you've successfully coached and developed engineers in the past.
✨Demonstrate Technical Proficiency
Familiarise yourself with the tech stack mentioned in the job description, including cloud technologies, Snowflake, Python, Airflow, and Docker. Be ready to discuss your hands-on experience with these tools and how you've applied them in real-world scenarios.
✨Prepare for Scenario-Based Questions
Expect questions that assess your ability to juggle multiple products and gather requirements effectively. Think of examples from your past where you successfully managed competing priorities and delivered results.
✨Communicate Clearly and Confidently
Strong communication skills are essential for this role. Practice articulating your thoughts clearly and confidently, especially when discussing complex technical concepts or your vision for the team's future.
