SearchWorks
Analytics Engineer

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🚀 Senior Analytics Engineer
📍 London | Four days per week on-site
đź’Ľ High-growth technology business
I’m working with a rapidly scaling, data-led technology company that is looking to appoint a Senior Analytics Engineer to join one of its most commercially important teams.
The business operates in a complex, fast-moving environment where data underpins real-time decisions, product development and increasingly sophisticated AI-driven workflows.
This is an opportunity to take genuine ownership of the data models and foundations behind these systems, working closely with engineering, product and operational stakeholders.
What you’ll be doing:
- Designing and building foundational data models for analytics, data science and AI use cases
- Developing the data foundations that support agentic and automated workflows
- Building scalable, efficient and reliable dbt pipelines
- Improving data quality through testing, monitoring and alerting
- Translating business requirements into practical data solutions
- Helping shape analytics engineering standards as the company scales
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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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
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.
What we’re looking for:
- Five or more years’ experience across analytics engineering, data engineering, data analysis or a related position
- Advanced SQL skills, ideally including BigQuery and PostgreSQL
- Strong commercial experience using dbt
- Python skills for scripting, automation and data manipulation
- Experience with tools such as Tableau, Looker or similar
- The ability to work effectively with both technical and non-technical stakeholders
- An interest in using AI tools to improve development workflows


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Your very own career expert that helps elevate your application to the next level.
Experience with orchestration tools such as Dagster or Airflow, real-time data pipelines, machine-learning workflows or customer-facing products would be beneficial.
You’ll be joining an ambitious technical team where your work will influence live products and real-world operations.
The package includes meaningful equity, private healthcare and dental cover, enhanced parental leave, 25 days’ holiday and a range of other benefits.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
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