Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Own and develop a cloud-based data platform, turning fragmented data into actionable insights.
- Company: Fast-growing VC-backed tech company in the education sector.
- Benefits: Competitive salary, fully remote work, and opportunities for professional growth.
- Other info: Be the first Analytics Engineer and influence foundational standards and practices.
- Why this job: Join at a pivotal stage and shape the future of data usage in a dynamic environment.
- Qualifications: Experience with data platforms, ELT tools, and strong analytical skills.
The predicted salary is between 65000 - 70000 £ per year.
This is an opportunity to join a fast-growing digital marketplace at a pivotal stage in its data journey. The business is investing heavily in its data platform and is looking for an Analytics Engineer to take ownership of a modern stack, bridge technical and commercial needs, and play a key role in shaping how data is used across the organisation.
The Company
They are a VC-backed technology business operating a two-sided online marketplace within the education sector. With strong growth and an expanding customer base, data has become central to improving acquisition, understanding user journeys, and delivering clearer commercial insight. The data function is still maturing, offering a rare chance to influence foundations, standards, and ways of working from an early stage.
The Role
You will be the first key Data Analytics Engineer hired in a new phase of the data team, taking ownership of an existing cloud-based data platform following a consultant handover. Working closely with analytics and senior stakeholders, you will help turn fragmented data into reliable, actionable insight.
Responsibilities include:
- Owning and developing the data platform on GCP, ensuring reliability and scalability
- Building and maintaining robust ingestion pipelines using modern ELT tools
- Designing and maintaining high-quality data models to support analytics and self-serve BI
- Partnering with BI and commercial teams to translate business needs into technical solutions
- Supporting data governance, testing, and documentation across the warehouse
- Contributing to ongoing platform improvements, including automation and AI-enabled tooling
Your Skills
(197330) Analytics Engineer employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land (197330) Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working in analytics roles. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data platforms or analytics tools. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common analytics scenarios. Think about how you’d tackle real-world problems using data. We want to see your thought process and how you can bridge technical and commercial needs.
✨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 are proactive about their job search.
We think you need these skills to ace (197330) Analytics Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Analytics Engineer role. Highlight your experience with cloud-based data platforms and any relevant tools you've used, like ELT tools or GCP.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're excited about this opportunity. Share specific examples of how you've turned fragmented data into actionable insights in the past, and how you can contribute to our data journey.
Showcase Your Technical Skills: Don’t shy away from detailing your technical expertise! Mention your experience with data models, ingestion pipelines, and any automation or AI tools you've worked with. We want to see how you can bridge the gap between technical and commercial needs.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates!
How to prepare for a job interview at Harnham
✨Know Your Tech Stack
Make sure you’re familiar with the cloud-based data platforms, especially GCP, as well as modern ELT tools. Brush up on your knowledge of data ingestion pipelines and how they work, so you can confidently discuss your experience and ideas during the interview.
✨Understand the Business Needs
Since this role involves bridging technical and commercial needs, take some time to research the company’s marketplace and its users. Be prepared to discuss how you can translate business requirements into technical solutions that drive actionable insights.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenges in previous roles, particularly around data governance and testing. Highlight your ability to contribute to platform improvements and how you’ve used automation or AI in past projects.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's data journey, their current challenges, and how they envision the role of an Analytics Engineer evolving. This shows your genuine interest and helps you assess if it’s the right fit for you.