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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 hands-on tech stack knowledge 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.
Data Engineering Manager (Brighton) employer: Harnham
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 show your genuine interest in their mission and how you can contribute.
✨Tip Number 2
Network with current or former employees on platforms like LinkedIn. They can provide insights into the company culture and expectations, which can be invaluable during your interview process.
✨Tip Number 3
Prepare to discuss your hands-on experience with relevant technologies such as Snowflake, Python, and Docker. Be ready to share specific examples of how you've used these tools in previous roles to lead projects or mentor team members.
✨Tip Number 4
Highlight your leadership style and coaching philosophy during discussions. Since the role involves mentoring a team, demonstrating your ability to develop others will set you apart from other candidates.
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 relevant experience in Data Engineering and any management roles you've held. Emphasise your hands-on skills with technologies like Python, Snowflake, and Docker, as well as your ability to lead a team.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI-driven solutions and your experience in coaching engineers. Mention specific projects where you've successfully gathered requirements and led teams to success.
Highlight Relevant Skills: In your application, clearly outline your technical skills and experience with real-time data products. This will demonstrate your capability to handle the responsibilities of the role effectively.
Follow Application Instructions: Ensure you submit your application through the Apply link provided in the job posting. Double-check that all documents are included and formatted correctly before hitting send.
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.
