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For Companies At a Glance
- Tasks: Lead and manage data teams while driving innovative data-driven products.
- Company: Join a fantastic organisation focused on Data & AI in a tech-driven environment.
- Benefits: Enjoy a hybrid work model with 4 days in the office and 1 day remote.
- Why this job: Be part of a dynamic team making an impact in the regulated tech space.
- Qualifications: Experience in managing data teams and strong programming skills in Python, Java, or Scala.
- Other info: Ideal for those passionate about data governance and security in a B2B context.
The predicted salary is between 54000 - 84000 £ per year.
Job Description
Devonshire Hayes have partnered with a fantastic organisation to help them secure a dynamic and hands-on Engineering Manager across Data & AI.
You will have experience –
– Leading, managing, building and scaling data teams in a SaaS, RegTech, or technology driven environment.
– Hands-on expertise in modern data engineering practices, cloud data platform and full data lifecycle.
– Strong programming skills would be ideal for this position, languages such as Python, Java or Scala with Data pipeline frameworks and cloud infrastructure (AWS or Azure).
– A proven track record of delivering innovative, data driven products from concept to production, ideally in a regulated industry.
– Deep understanding of data governance, security, privacy standards especially within a B2B or regulated context.
Working arrangement: 4 days in the office / 1 day from home.
Engineering Manager - Data & AI employer: Devonshire Hayes Recruitment Specialists Limited
Contact Detail:
Devonshire Hayes Recruitment Specialists Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engineering Manager - Data & AI
✨Tip Number 1
Network with professionals in the Data & AI field. Attend industry meetups, webinars, or conferences to connect with potential colleagues and leaders in the sector. This can help you gain insights into the company culture and expectations.
✨Tip Number 2
Showcase your hands-on experience by discussing relevant projects during networking conversations. Be prepared to explain how you've successfully led data teams and delivered innovative products, especially in regulated environments.
✨Tip Number 3
Familiarise yourself with the latest trends in data engineering and AI technologies. Being knowledgeable about cloud platforms like AWS or Azure and programming languages such as Python or Java will give you an edge in discussions.
✨Tip Number 4
Prepare for potential interviews by practising answers to common questions related to data governance and security standards. Understanding these concepts deeply will demonstrate your expertise and readiness for the role.
We think you need these skills to ace Engineering Manager - Data & AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in leading and managing data teams, particularly in SaaS or RegTech environments. Emphasise your hands-on expertise in modern data engineering practices and any relevant programming skills.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about the role of Engineering Manager in Data & AI. Mention specific projects where you've delivered innovative, data-driven products and how your experience aligns with the company's needs.
Showcase Technical Skills: Clearly outline your programming skills in languages like Python, Java, or Scala. Include examples of how you've used these skills in data pipeline frameworks and cloud infrastructure, such as AWS or Azure.
Highlight Regulatory Knowledge: Since the role involves working in a regulated industry, make sure to mention your understanding of data governance, security, and privacy standards. Provide examples of how you've navigated these aspects in previous roles.
How to prepare for a job interview at Devonshire Hayes Recruitment Specialists Limited
✨Showcase Your Leadership Experience
Be prepared to discuss your previous roles in leading and managing data teams. Highlight specific examples where you successfully built and scaled teams, particularly in a SaaS or RegTech environment.
✨Demonstrate Technical Proficiency
Brush up on your hands-on expertise with modern data engineering practices. Be ready to talk about your experience with cloud data platforms and the full data lifecycle, as well as your programming skills in languages like Python, Java, or Scala.
✨Discuss Innovative Product Delivery
Prepare to share examples of innovative, data-driven products you've delivered from concept to production. Focus on your experience in regulated industries and how you navigated challenges related to compliance and governance.
✨Understand Data Governance and Security
Make sure you have a solid grasp of data governance, security, and privacy standards, especially in a B2B or regulated context. Be ready to discuss how you've implemented these standards in your previous roles.
