Senior Analytics Engineer

Senior Analytics Engineer

Full-Time 80000 - 100000 £ / year (est.) Home office (partial)
Xcede

At a Glance

  • Tasks: Transform data into high-quality products and tackle complex modelling challenges.
  • Company: Leading financial services client with a focus on innovation.
  • Benefits: Competitive salary, bonus, hybrid work, and opportunities for mentorship.
  • Other info: No financial services background needed; just bring your passion and expertise!
  • Why this job: Shape the future of analytics and make a real impact in a dynamic environment.
  • Qualifications: Experience as a Senior Analytics Engineer and strong SQL skills.

The predicted salary is between 80000 - 100000 £ per year.

I'm partnering with a leading FS client on a Senior Analytics Engineer hire. The Analytics Engineering team's mission is to transform data into high-quality, trusted and scalable data products that empower analytics, product, finance, risk and commercial teams to make smarter decisions for customers.

This is a hands-on technical leadership role focused on raising standards, shaping technical direction and increasing modelling maturity across domains — without formal line management responsibility. You'll own and deliver the most complex modelling challenges, help define and evolve best practice for dbt, modelling, governance and cost optimisation, and act as a technical authority while mentoring and enabling others.

What you'll bring:

  • Significant experience as a Senior or Lead Analytics Engineer
  • Demonstrable experience setting technical standards or shaping modelling practices
  • Strong expertise in SQL and building production-grade, efficient dbt models
  • Experience working in modern cloud data environments
  • Strong understanding of data governance and risk considerations
  • Solid understanding of CI/CD, Git-based workflows and version-controlled deployments

Hybrid — 2 days a week in a London office. £80k–£100k base plus bonus. No financial services background required — strong engineers with the right attitude are encouraged to apply.

Senior Analytics Engineer employer: Xcede

As a Senior Analytics Engineer at our leading financial services client in London, you will thrive in a dynamic and innovative work culture that prioritises collaboration and professional growth. With competitive compensation, a hybrid working model, and opportunities to shape technical standards while mentoring others, this role offers a unique chance to make a significant impact in the analytics domain. Join us to be part of a team that values your expertise and encourages you to push the boundaries of data engineering.

Xcede

Contact Details:

Xcede Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Analytics Engineer

Tip Number 1

Network like a pro! Reach out to your connections in the industry, attend meetups, and engage on platforms like LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that Senior Analytics Engineer role.

Tip Number 2

Prepare for those technical interviews! Brush up on your SQL skills and be ready to discuss your experience with dbt models. We recommend practising common analytics scenarios and thinking through how you’d tackle complex modelling challenges — this will show your potential employer you’re the real deal.

Tip Number 3

Show off your projects! If you’ve worked on any impressive data products or modelling practices, make sure to highlight them during interviews. We love seeing tangible examples of your work, as it gives us insight into your problem-solving skills and technical expertise.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for strong engineers with the right attitude, so don’t hesitate to put yourself out there!

We think you need these skills to ace Senior Analytics Engineer

SQL
dbt
Data Modelling
Data Governance
Risk Management
CI/CD
Git-based Workflows

Some tips for your application 🫡

Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Senior Analytics Engineer role. Highlight your expertise in SQL, dbt models, and any relevant cloud data environments to catch our eye!

Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've shaped technical standards or tackled complex modelling challenges in the past.

Showcase Your Technical Skills:Don’t shy away from detailing your technical prowess! Mention your experience with CI/CD, Git workflows, and any governance practices you've implemented. We love seeing candidates who can demonstrate their hands-on experience.

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 makes the process smoother for everyone involved!

How to prepare for a job interview at Xcede

Know Your Data Inside Out

As a Senior Analytics Engineer, you’ll need to demonstrate your expertise in SQL and dbt models. Brush up on your technical skills and be ready to discuss specific projects where you've tackled complex modelling challenges. Prepare examples that showcase your ability to transform data into actionable insights.

Showcase Your Leadership Skills

Even though this role doesn’t involve formal line management, it’s crucial to highlight your experience in shaping technical standards and mentoring others. Think of instances where you’ve led initiatives or influenced best practices in analytics engineering. Be prepared to discuss how you can raise standards within the team.

Understand the Bigger Picture

This position is about empowering various teams to make smarter decisions. Familiarise yourself with how analytics impacts finance, risk, and commercial teams. During the interview, connect your technical skills to business outcomes, showing that you understand the importance of data governance and risk considerations.

Be Ready for Technical Challenges

Expect to face some hands-on technical questions or challenges during the interview. Practice coding problems related to SQL and dbt, and be ready to explain your thought process. This will not only demonstrate your technical prowess but also your problem-solving approach, which is key for this role.