At a Glance
- Tasks: Own scalable data models and shape a new analytics function.
- Company: Fast-scaling, tech-driven organisation investing in data capabilities.
- Benefits: Up to £80,000 salary, generous benefits, and growth opportunities.
- Other info: Primarily remote role with a supportive team environment.
- Why this job: Make a real impact on data infrastructure and analytics solutions.
- Qualifications: Strong SQL skills, experience with dbt, and knowledge of data quality frameworks.
The predicted salary is between 48000 - 64000 £ per year.
SENIOR ANALYTICS ENGINEER
UP TO £80,000 + BENEFITS
PRIMARILY REMOTE
Looking to take ownership of scalable data models, shape a brand-new analytics function, and work with the modern data stack from day one?
THE COMPANY:
I\'m working with a fast-scaling, tech-driven organisation that\'s investing heavily in its data capabilities. As part of a wider data transformation, they\'re building out a dedicated Analytics Engineering team focused on creating scalable, trusted data infrastructure. With strong support from BI, Data Science, and Engineering teams, this function is central to how the business defines and uses data going forward.
THE ROLE:
You\'ll help lay the foundations of the analytics engineering practice-owning your area of the data model, improving data quality, and shaping how data is delivered across the business. Reporting to a highly experienced team lead, you\'ll work closely with stakeholders across Product, Engineering, and Commercial.
- Design and build reusable, high-performance data models using dbt
- Translate business logic into well-documented sources of truth
- Contribute to data quality checks, testing, and CI/CD best practices
- Partner with cross-functional teams to deliver scalable analytics solutions
- Help shape architectural decisions and improve data model governance
YOUR SKILLS AND EXPERIENCE:
A successful Analytics Engineer will bring:
- Strong SQL skills and hands-on experience with dbt (or similar tools)
- Experience designing as well as building data models
- Exposure to Snowflake and/or data pipeline tools
- Understanding of testing, CI/CD, and data quality frameworks
THE BENEFITS:
You will receive a salary dependent on experience-up to £80,000. On top of that, there\'s a generous benefits package and plenty of opportunity to grow as the team scales.
HOW TO APPLY:
Please register your interest by sending your CV to Molly Bird via the apply link on this page.
Senior Analytics Engineer in Cambridge employer: Harnham
Join a fast-scaling, tech-driven organisation that prioritises innovation and data excellence. With a strong emphasis on employee growth, you will have the opportunity to shape a brand-new analytics function while collaborating with talented teams across Product, Engineering, and Commercial. Enjoy a flexible remote work environment, a competitive salary of up to £80,000, and a comprehensive benefits package that supports your professional development in a dynamic and supportive culture.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analytics Engineer in Cambridge
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your data models and analytics projects. This gives potential employers a taste of what you can do beyond just your CV.
✨Tip Number 3
Prepare for the interview by brushing up on SQL and dbt. Be ready to discuss your past projects and how you've tackled challenges in data quality and model governance. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Senior Analytics Engineer in Cambridge
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your strong SQL skills and any hands-on experience with dbt, as these are key for us.
Showcase Your Projects:Include examples of data models you've designed or built. We love seeing how you've contributed to data quality checks and CI/CD best practices in your previous roles.
Keep It Clear and Concise:Your application should be easy to read. Use bullet points where possible and avoid jargon that might confuse us. We want to see your experience without wading through unnecessary fluff!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity.
How to prepare for a job interview at Harnham
✨Know Your Data Tools
Make sure you brush up on your SQL skills and get familiar with dbt, as these are crucial for the role. Be ready to discuss your hands-on experience with these tools and how you've used them to build data models in the past.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled data quality issues or improved data governance in previous roles. This will demonstrate your ability to contribute to the analytics engineering practice and show that you can think critically about data challenges.
✨Understand the Business Context
Research the company and its industry to understand how they use data. Be prepared to discuss how your work can impact their business decisions and how you can partner with cross-functional teams to deliver scalable analytics solutions.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data transformation journey and the role of the analytics engineering team. This shows your genuine interest in the position and helps you gauge if the company is the right fit for you.
