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 options, 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
- 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
- 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 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 comprehensive benefits package, all while promoting a culture that embraces automation and AI-driven workflows. This role not only provides significant visibility across the organisation but also empowers you to shape the future of data analytics within a supportive and forward-thinking workplace.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Analytics Engineering
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on LinkedIn. The more people you know, the better your chances of landing that Head of Analytics Engineering role.
✨Tip Number 2
Showcase your skills! Create a portfolio or a personal website where you can display your projects, achievements, and any relevant analytics work. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and leadership skills. Be ready to discuss your experience with tools like dbt and SQL, and how you've led teams in fast-paced environments. Confidence is key!
✨Tip Number 4
Apply through our website! We make it easy for you to find and apply for roles that match your skills. Plus, it shows you're genuinely interested in joining our team and contributing to our data-driven culture.
We think you need these skills to ace Head of Analytics Engineering
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 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 teams and driving best practices. We’re looking for someone who can inspire and lead a team of Analytics Engineers, so share examples of your leadership style!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. We can’t wait to hear from you!
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 cloud environments. This will show that you're not just familiar with the tech but can also lead a team effectively.
✨Showcase Leadership Experience
Prepare examples of how you've led teams in analytics engineering or data platforms. Highlight your experience as a player-coach, demonstrating your ability to mentor while still being hands-on. This is crucial for a leadership role!
✨Understand the Business Impact
Be ready to talk about how analytics can drive business decisions. Think of specific instances where your work improved data quality or influenced product development. This shows you understand the bigger picture and can partner with other teams.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You'll need to communicate with both technical and non-technical stakeholders, so being able to bridge that gap is key. Prepare some scenarios where you've successfully done this in the past.
