At a Glance
- Tasks: Solve complex data problems and build scalable analytics solutions.
- Company: Join a forward-thinking tech company with a collaborative spirit.
- Benefits: Enjoy a competitive salary, hybrid work, and opportunities for growth.
- Other info: Dynamic environment with a focus on continuous improvement and learning.
- Why this job: Make a real impact by enhancing data accessibility across the business.
- Qualifications: Strong SQL skills and experience with DBT or similar frameworks.
The predicted salary is between 50000 - 65000 £ per year.
We’d love you to be part of our journey: We’re looking for an Analytics Engineer who wants to grow their individual contributor career by solving complex data problems and contributing to the foundations of a modern, self-serve analytics platform. This role is ideal for someone who enjoys working collaboratively, building reusable and scalable data models, and making data more accessible across the business. You will also take on cross-domain technical ownership and contribute to technical strategy and standards across the organisation.
Some of the great things you’ll do:
- Develop and maintain scalable DBT models, transformation pipelines, and analytics workflows.
- Build and support BI reporting and dashboards using modern visualisation tools.
- Partner with analysts, product teams, and engineers to understand business requirements and translate them into robust data solutions.
- Contribute to the design and optimisation of analytics-ready data models with a focus on usability, performance, and maintainability.
- Implement and maintain data quality checks, testing, and documentation to improve trust in analytics outputs.
- Support operational excellence across the analytics stack through automation, monitoring, and continuous improvement.
- Participate in code reviews, knowledge sharing, and team-wide engineering practices.
- Contribute to analytics engineering standards, documentation, and best practices.
- Support platform initiatives including migrations, model refactoring, governance improvements, and technical debt reduction.
- Collaborate effectively across technical and non-technical teams to deliver high-quality outcomes.
What we’d like to see from you:
- Strong SQL skills and experience working with DBT or similar transformation frameworks.
- Experience building analytics-ready data models and reporting solutions.
- Understanding of data modelling principles, testing, and query optimisation.
- Familiarity with modern engineering practices such as Git, CI/CD, and automated testing.
- Strong problem-solving skills and attention to detail.
- Ability to communicate effectively with both technical and business stakeholders.
- A collaborative mindset and willingness to learn and grow in a fast-moving environment.
Nice to have:
- Experience with Databricks, Spark, or Airflow.
- Exposure to cloud data platforms and modern data architectures.
- Experience supporting data platform migrations or modernisation initiatives.
- Familiarity with observability, monitoring, or data reliability practices.
Analytics Engineer in Peterborough employer: Compare The Market Limited
Join a forward-thinking company that values collaboration and innovation, where as an Analytics Engineer, you will have the opportunity to work in a hybrid environment in either London or Peterborough. We offer a supportive work culture that encourages professional growth through continuous learning and development, alongside competitive benefits that enhance your work-life balance. Be part of a team that is dedicated to building a modern analytics platform, making data accessible and impactful across the organisation.
Contact Details:
Compare The Market Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer in Peterborough
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best work, especially any DBT models or analytics dashboards you've built. This gives you a chance to demonstrate your expertise and makes you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and data modelling principles. Be ready to discuss how you've tackled complex data problems in the past and how you can contribute to our analytics platform's success.
✨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, it shows you're genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Analytics Engineer in Peterborough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Analytics Engineer role. Highlight your SQL skills, experience with DBT, and any relevant projects you've worked on. We want to see how you can contribute to our data solutions!
Craft a Compelling Cover Letter:Your cover letter is your chance to show us your personality and passion for analytics. Share why you're excited about this role and how your collaborative mindset aligns with our team culture. Let us know how you can help us build a modern analytics platform!
Showcase Your Problem-Solving Skills:In your application, include examples of how you've tackled complex data problems in the past. We love candidates who can think critically and come up with innovative solutions, so don't hold back on sharing your successes!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy to do!
How to prepare for a job interview at Compare The Market Limited
✨Know Your SQL Inside Out
As an Analytics Engineer, strong SQL skills are a must. Brush up on your SQL queries and be ready to demonstrate your ability to manipulate data effectively. Prepare to discuss specific examples of how you've used SQL in past projects.
✨Showcase Your Data Modelling Skills
Be prepared to talk about your experience with building analytics-ready data models. Think of a few examples where you’ve designed or optimised data models, and be ready to explain the principles behind your decisions.
✨Familiarise Yourself with DBT and Modern Tools
Since this role involves working with DBT and other modern transformation frameworks, make sure you understand their functionalities. If you have experience with tools like Databricks or Spark, be ready to share how you’ve used them in your work.
✨Communicate Clearly with Stakeholders
This position requires collaboration with both technical and non-technical teams. Practice explaining complex data concepts in simple terms, and prepare to discuss how you’ve successfully communicated with different stakeholders in previous roles.
