At a Glance
- Tasks: Lead the design of scalable analytics solutions and drive high-impact initiatives.
- Company: Join a forward-thinking company that values innovation and collaboration.
- Benefits: Enjoy hybrid work, competitive salary, and opportunities for professional growth.
- Other info: Be part of a culture that champions inclusion, collaboration, and continuous improvement.
- Why this job: Make a real impact by shaping data solutions that empower decision-making.
- Qualifications: Advanced SQL skills and experience with DBT and modern analytics practices.
The predicted salary is between 60000 - 80000 £ per year.
We're looking for a Senior Analytics Engineer to lead the design and evolution of scalable analytics solutions that power a modern, self‑serve analytics platform. This role is ideal for someone who enjoys solving complex technical challenges, influencing engineering direction, and driving high standards across analytics engineering practices. You will provide technical leadership across domains, shape scalable data foundations, and partner closely with Product, Analytics, Technology, and Data Platform teams to deliver trusted, high‑impact data solutions at scale.
Some of the great things you'll do:
- Lead and deliver complex, high‑impact analytics engineering initiatives across multiple teams or product areas.
- Own the architecture and evolution of key data models, transformation pipelines, and analytics workflows.
- Design scalable, performant, and maintainable analytics solutions aligned to business priorities and engineering standards.
- Shape technical direction in partnership with Data Platform and Technology leadership, contributing to architecture and roadmap discussions.
- Drive improvements in data quality, observability, resilience, and operational excellence across the analytics stack.
- Reduce technical debt and improve developer experience through better tooling, automation, standards, and engineering practices.
- Mentor and support engineers across the team through technical guidance, coaching, feedback, and knowledge sharing.
- Collaborate closely with Product, Analytics, Engineering, and business stakeholders to align on outcomes and reduce delivery risk.
- Build and support reporting and BI solutions that enable scalable decision‑making across the organisation.
- Champion analytics engineering best practices including testing, documentation, CI/CD, and code review.
- Lead or contribute to platform initiatives such as migrations, governance improvements, model refactoring, and platform modernisation.
- Represent Analytics Engineering in technical forums and cross‑functional strategy discussions.
- Foster a culture of inclusion, collaboration, accountability, and continuous improvement.
What we'd like to see from you:
- Advanced SQL and strong hands‑on experience with DBT and modern analytics engineering practices.
- Proven experience designing scalable, analytics‑ready data models and transformation frameworks.
- Strong understanding of data modelling, performance optimisation, testing, and data reliability practices.
- Experience delivering reporting and BI solutions from discovery through to production adoption.
- Comfortable operating in modern engineering environments using Git, CI/CD, automation, and infrastructure‑aware development practices.
- Ability to lead technical initiatives and influence engineering direction across teams.
- Strong stakeholder management, communication, and collaboration skills.
- A pragmatic, outcome‑focused mindset with a passion for building reusable and trusted data solutions.
Nice to have:
- Experience with Databricks, Spark, Airflow, or distributed data processing technologies.
- Experience supporting enterprise data platform migrations or modernisation programmes.
- Familiarity with observability tooling, data governance, and data platform operations.
- Experience mentoring engineers or contributing to team capability uplift initiatives.
Senior Analytics Engineer: Architect Scalable Data employer: Compare the Market
Join a forward-thinking company that values innovation and collaboration, where as a Senior Analytics Engineer, you will play a pivotal role in shaping scalable data solutions within a hybrid work environment in London or Peterborough. Our inclusive culture fosters continuous improvement and professional growth, offering you the opportunity to lead impactful projects while mentoring fellow engineers. With a focus on high standards and cutting-edge technology, we empower our employees to drive meaningful change and achieve their career aspirations.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analytics Engineer: Architect Scalable Data
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even casual coffee chats. Building relationships can open doors to opportunities that aren’t even advertised.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those involving scalable data solutions. This will give potential employers a taste of what you can bring to the table.
✨Ace the Interview
Prepare for technical interviews by brushing up on SQL, DBT, and analytics engineering practices. Practice common interview questions and be ready to discuss how you've tackled complex challenges in the past.
✨Apply Through Our Website
When you find a role that excites you, apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Senior Analytics Engineer: Architect Scalable Data
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 advanced SQL skills, experience with DBT, and any relevant projects that showcase your ability to design scalable data models.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about analytics engineering. Share specific examples of how you've led technical initiatives or improved data quality in previous roles. This is your chance to show your personality and enthusiasm!
Showcase Your Technical Skills:In your application, don't shy away from detailing your hands-on experience with modern engineering practices like CI/CD and automation. We want to see how you’ve applied these skills in real-world scenarios, so be specific!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at Compare the Market
✨Know Your Tech Inside Out
Make sure you brush up on your SQL skills and get comfortable with DBT. Be ready to discuss how you've designed scalable data models and transformation frameworks in the past. The more specific examples you can provide, the better!
✨Showcase Your Leadership Skills
This role is all about influencing engineering direction and leading initiatives. Prepare to share instances where you've taken charge of a project or mentored others. Highlight your ability to collaborate with cross-functional teams and drive improvements.
✨Understand the Business Impact
Be prepared to talk about how your analytics solutions have made a difference in previous roles. Think about how you've aligned technical work with business priorities and how your contributions have led to high-impact outcomes.
✨Emphasise Continuous Improvement
This position values a culture of accountability and improvement. Share your experiences with implementing best practices like CI/CD, testing, and documentation. Discuss how you've reduced technical debt and improved developer experience in your past projects.
