At a Glance
- Tasks: Build scalable data models and support analytics workflows in a collaborative environment.
- Company: Join a forward-thinking tech company focused on modern analytics solutions.
- Benefits: Enjoy competitive pay, flexible hybrid work, and opportunities for professional growth.
- Other info: Dynamic team culture with a focus on continuous learning and innovation.
- Why this job: Make a real impact by solving complex data challenges and enhancing business insights.
- Qualifications: Strong SQL skills and experience with DBT or similar frameworks required.
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.
Hybrid Analytics Engineer: Build scalable data models 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 on complex data challenges in a hybrid environment between our London and Peterborough offices. We foster a culture of continuous learning and growth, offering robust career development opportunities alongside a commitment to operational excellence and high-quality outcomes. Enjoy the benefits of a supportive team atmosphere, modern tools, and the chance to contribute to a self-serve analytics platform that empowers the entire organisation.
Contact Details:
Compare The Market Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Hybrid Analytics Engineer: Build scalable data models 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 those scalable data models and analytics solutions. This will give you an edge and demonstrate your capabilities beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and DBT knowledge. Be ready to discuss how you've tackled complex data problems and contributed to team projects. Practice makes perfect!
✨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 Hybrid Analytics Engineer: Build scalable data models in Peterborough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. 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 analytics journey!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're excited about this role and how your background aligns with our needs. Share specific examples of your work with data models or BI reporting that demonstrate your problem-solving skills and collaborative mindset.
Showcase Your Technical Skills:Don’t forget to mention your familiarity with modern engineering practices like Git and CI/CD in your application. We love seeing candidates who are not just technically proficient but also understand the importance of automation and testing in analytics.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. We can’t wait to hear from you!
How to prepare for a job interview at Compare The Market Limited
✨Know Your Data Models
Make sure you brush up on your knowledge of scalable DBT models and transformation pipelines. Be ready to discuss how you've built analytics-ready data models in the past, and think about specific examples where your work improved usability or performance.
✨Showcase Your SQL Skills
Since strong SQL skills are a must for this role, prepare to demonstrate your expertise. You might be asked to solve a problem on the spot, so practice writing queries that optimise performance and ensure data quality. Bring along examples of complex queries you've written.
✨Collaborate and Communicate
This role requires working with both technical and non-technical teams, so be ready to showcase your communication skills. Think of instances where you've successfully partnered with analysts or product teams to translate business requirements into data solutions.
✨Emphasise Continuous Improvement
Talk about your experience with automation, monitoring, and continuous improvement in analytics. Be prepared to share how you've contributed to code reviews or implemented best practices in your previous roles, as this shows your commitment to operational excellence.
