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- Tasks: Lead a team to develop a cutting-edge data platform and drive impactful projects.
- Company: Join an innovative client focused on data-driven products and solutions.
- Benefits: Enjoy a competitive salary, flexible hybrid work, and great perks like gym memberships.
- Why this job: Shape the future of data engineering in a dynamic, collaborative environment with exciting AI projects.
- Qualifications: 10+ years in data engineering, with strong leadership and Azure expertise required.
- Other info: Be part of a fast-paced, growth-oriented team making significant changes.
The predicted salary is between 72000 - 108000 £ per year.
Are you a visionary leader with a passion for data? Join our innovative client as their Head of Data Engineering , where you\’ll drive their data platform strategy, mentor top-tier engineering talent, and shape the future of their data-driven products.
What you\’ll do:
- Lead and develop a team of Tech Leads and engineering squads.
- Define and implement a robust data platform using Azure Cloud technologies.
- Collaborate with cross-functional teams to deliver high-impact, data-centric products.
- Ensure data integrity, security, and governance across the organization.
What they\’re looking for:
- 10+ years in data engineering, with 4+ years in senior leadership.
- Proven experience with Azure services (Data Factory, Synapse, Data Lake, SQL Database).
- Strong leadership, communication, and stakeholder management skills.
- Solid understanding of data architecture, modeling, and distributed systems.
- Be part of a dynamic, innovative, and collaborative team.
- Lead exciting projects that leverage AI and machine learning.
- Drive impactful change in a fast-paced, growth-oriented environment.
Benefits & Rewards
- Competitive salary + car allowance and bonus
- Flexible hybrid working model
- Pension scheme up to 8% employer contribution
- Access to various other benefits including insurance, cycle to work scheme & subsidised gym membership
Seniority level
Director
Employment type
Full-time
Job function
Information Technology and Strategy/Planning
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Head of Data Engineering employer: Levick Stanley
Contact Detail:
Levick Stanley Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Engineering
✨Tip Number 1
Make sure to showcase your leadership experience in data engineering. Highlight specific projects where you led teams and drove successful outcomes, especially those involving Azure technologies.
✨Tip Number 2
Network with professionals in the data engineering field, particularly those who have experience with Azure services. Engaging with industry peers can provide insights and potentially lead to referrals.
✨Tip Number 3
Stay updated on the latest trends in data architecture and distributed systems. Being knowledgeable about current technologies will help you stand out as a candidate who can drive innovation.
✨Tip Number 4
Prepare to discuss how you've ensured data integrity and governance in past roles. This is crucial for the position, so having concrete examples ready will demonstrate your expertise.
We think you need these skills to ace Head of Data Engineering
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly understand the responsibilities and expectations of the Head of Data Engineering position. Highlight your relevant experience in data engineering and leadership in your application.
Showcase Your Experience: Emphasize your 10+ years in data engineering and 4+ years in senior leadership roles. Provide specific examples of how you've successfully led teams and implemented data platforms, particularly using Azure technologies.
Highlight Leadership Skills: Demonstrate your strong leadership and communication skills. Mention any experience you have in mentoring engineering talent and collaborating with cross-functional teams to deliver impactful products.
Tailor Your Application: Customize your CV and cover letter to reflect the job description. Use keywords from the listing, such as 'data integrity', 'security', and 'governance', to ensure your application stands out.
How to prepare for a job interview at Levick Stanley
✨Showcase Your Leadership Experience
As a candidate for the Head of Data Engineering, it's crucial to highlight your leadership experience. Prepare specific examples of how you've successfully led teams, mentored talent, and driven projects to completion in previous roles.
✨Demonstrate Technical Proficiency
Make sure to discuss your hands-on experience with Azure services like Data Factory, Synapse, and Data Lake. Be ready to explain how you've utilized these technologies to build robust data platforms and ensure data integrity.
✨Emphasize Collaboration Skills
Since the role involves working with cross-functional teams, be prepared to share examples of how you've effectively collaborated with different departments. Highlight your communication skills and how they have helped you manage stakeholders.
✨Prepare for Future Trends
Given the focus on AI and machine learning, familiarize yourself with current trends in these areas. Be ready to discuss how you envision leveraging these technologies in data-driven products and how they can drive impactful change.
