Harnham
Analytics Engineer

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Analytics Engineer
Up to £80,000
London/Hybrid
The Overview
This is an excellent opportunity for an Analytics Engineer to join a highly data-driven organisation where analytics is central to commercial decision-making. You'll focus on building scalable data models, improving analytics capabilities, and helping shape the foundations that enable analysts and stakeholders to make better decisions across the business.
The Company
They are a well-established, technology-led business operating at scale, with a strong focus on digital products, customer experience, and data-driven growth.
Data and analytics are heavily invested in across the organisation, creating a collaborative environment where engineering and analytics teams work closely together. With a mature analytics function and ambitious data initiatives, this is an opportunity to make a meaningful impact while working on high-value projects.
The Role
As an Analytics Engineer, you will be responsible for designing and maintaining analytical data models that support reporting, decision-making, and advanced analytics across the organisation.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Key responsibilities include:
- Building and maintaining robust data models and ELT/ETL pipelines using dbt and SQL
- Collaborating closely with Data Engineering teams to ensure data is structured and prepared for analytical use
- Supporting analysts through Looker and LookML development
- Delivering data solutions aligned to business projects and strategic initiatives
- Improving automation and processes related to analytics and AI-enabled tools
- Working with orchestration technologies and supporting wider analytics engineering initiatives
- Contributing to the scalability and reliability of the organisation's analytics foundations
Your Skills & Experience
To be successful in this Analytics Engineer role, you should have:
- Strong commercial experience building and maintaining ELT/ETL pipelines
- Advanced SQL skills and confidence working with large-scale datasets
- Hands-on experience with dbt
- Strong experience with Looker and LookML
- Experience developing analytical data models for business and analytics users
- Ability to collaborate effectively with both technical and non-technical stakeholders


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Experience with any of the following would be beneficial:
- Google Cloud Platform (GCP)
- Airflow, Cloud Composer, or similar orchestration tools
- Kafka
- Analytics-focused AI applications, conversational analytics, or chatbot context management
- Modern cloud-based data environments
What They Offer
- Salary of up to £80,000
- Performance-related bonus
- Comprehensive benefits package
- Hybrid working model with three days per week in the office
- Exposure to large-scale data and analytics projects
- Opportunities to work with modern data technologies and AI-enabled analytics solutions
- The chance to influence analytical best practices and contribute to the growth of a mature analytics function
How to Apply
If you're an Analytics Engineer with strong SQL, dbt, Looker, and LookML expertise and are looking for an opportunity to work on impactful analytics engineering projects, please apply today.
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