At a Glance
- Tasks: Lead the evolution of a modern data platform and analytics capability.
- Company: Rapidly scaling tech business with a strong engineering culture.
- Benefits: Up to £140,000 salary, equity, and hybrid working model.
- Other info: Opportunity for significant visibility and career growth.
- Why this job: Make a real impact in a fast-paced, collaborative environment.
- Qualifications: Experience in leading Analytics Engineering teams and strong technical skills.
The predicted salary is between 140000 - 140000 € per year.
A rapidly scaling technology business is looking for a Head of Analytics Engineering to lead the evolution of its modern data platform and analytics capability. Operating in a highly data-intensive environment, the company is investing heavily in the systems, tooling, and infrastructure that support real-time operational and commercial decision-making. This is a key leadership hire with significant visibility across the business. You’ll take ownership of the analytics engineering function, overseeing the development of scalable transformation frameworks, semantic modelling, and data products used across product, operations, and leadership teams. The role will combine technical strategy, platform direction, and people leadership. The environment is fast-paced and highly collaborative, with a strong engineering culture and a genuine appetite for leveraging automation and AI-driven workflows to improve how data is consumed across the organisation.
Responsibilities
- Define and execute the roadmap for the analytics engineering and data modelling function
- Lead and mentor a team of experienced Analytics Engineers
- Drive best practices across data modelling, testing, governance, and observability
- Partner closely with software engineering and product teams to improve upstream data quality
- Build scalable self-serve analytics capabilities for business users
- Support the evolution of real-time and event-driven data architecture
- Ensure the platform is robust enough to support advanced analytics and AI use cases
- Act as a senior stakeholder across technology and business functions
Ideal Background
- Experience leading Analytics Engineering or Data Platform teams in modern cloud environments
- Strong hands-on knowledge of tools such as dbt, SQL, and modern warehouse technologies
- Comfortable operating as a player-coach in highly technical teams
- Strong understanding of scalable data architecture and data quality principles
- Experience working in high-growth or product-led businesses
- Excellent communication skills with both technical and non-technical stakeholders
Package
- Up to £140,000 base salary
- Equity/options
- Hybrid working model with 4 days per week in the London office
- Comprehensive benefits package
Head of Analytics Engineering in London employer: Xcede
Join a rapidly scaling technology business in London as the Head of Analytics Engineering, where you'll lead a dynamic team in a fast-paced, collaborative environment. With a strong focus on employee growth and innovation, the company offers a competitive salary, equity options, and a hybrid working model that promotes work-life balance. Embrace the opportunity to shape the future of data analytics while enjoying a culture that values automation and AI-driven solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Analytics Engineering in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for those interviews! Research the company, understand their data platform, and be ready to discuss how your experience aligns with their needs. We want you to shine, so practice common interview questions and have your own questions ready to show your interest.
✨Tip Number 3
Showcase your skills! If you’ve worked on relevant projects, create a portfolio or case studies to demonstrate your expertise in analytics engineering. We love seeing real-world applications of your skills, so don’t hold back!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. We’re always on the lookout for talented individuals like you, so don’t hesitate to hit that apply button!
We think you need these skills to ace Head of Analytics Engineering in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Head of Analytics Engineering. Highlight your experience with analytics engineering, data platforms, and any relevant tools like dbt and SQL. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about leading analytics engineering teams and how you can contribute to our fast-paced environment. Let us know what excites you about the role and our company.
Showcase Your Leadership Skills:Since this is a leadership position, make sure to highlight your experience in mentoring and guiding teams. Share specific examples of how you've driven best practices and improved data quality in previous roles. We love seeing strong leaders in action!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our company culture and values!
How to prepare for a job interview at Xcede
✨Know Your Data Tools
Make sure you brush up on your knowledge of tools like dbt and SQL. Be ready to discuss how you've used these in past roles, especially in leading analytics engineering teams. This will show that you’re not just familiar with the tools but can also leverage them effectively.
✨Showcase Leadership Experience
Prepare examples that highlight your experience in mentoring and leading teams. Think about specific instances where you drove best practices or improved team performance. This is crucial since the role involves significant people leadership.
✨Understand the Business Impact
Be ready to discuss how analytics engineering can drive business decisions. Think about how you can articulate the value of data products and self-serve analytics capabilities to non-technical stakeholders. This will demonstrate your ability to bridge the gap between tech and business.
✨Emphasise Collaboration Skills
Since the environment is highly collaborative, prepare to talk about your experiences working closely with software engineering and product teams. Highlight any successful projects where cross-functional collaboration led to improved data quality or analytics outcomes.
