Wave Group
Analytics Engineer

How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Job Title: Senior Analytics Engineer
💰 Salary: up to £100k (strong mid/senior)
🔥 Equity: up to 170% (!!!) - insanely generous 🥵
70% guaranteed upon joining
up to 100% additional allotment based on performance
📍 Location: Shoreditch (4 office days/week)
Benefits:
- Private healthcare & dental cover
- Enhanced parental leave
- Office lunches
📦 Industry: Logistics
👥 Team: ~110
💸 Funding: ~$45m (Series A)
🛂 VISA sponsorship available if needed
This company is hands-down the hottest logistics scale up in Europe, taking the industry by storm and growing at an astronomical pace.
Every parcel that moves through their network generates thousands of data points. Those data points feed forecasts, optimisation models, and an increasingly autonomous AI marketplace. The Analytics Engineer in this role owns the foundations that make all of it possible, sitting within the company's biggest and most data-rich squad.
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.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
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.
See breakdownIt searches the market for you
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.
If you want to be at the heart of something genuinely transformative, this might be for you.
What you'll be doing:
- Designing the data foundations that power real-time operational decisions
- Building core data models that power analytics, data science and autonomous AI workflows
- Owning the data inputs that drive key AI decision systems
- Driving data quality through testing, monitoring and alerting
- Shaping analytics engineering practices as the business scales


Get help with your application
Your very own career expert that helps elevate your application to the next level.
Must have requirements:
- 5+ years in analytics engineering, data engineering or a similar role
- Strong SQL (BigQuery, PostgreSQL)
- Extensive dbt experience
- Experience with data visualisation tools
- Python proficiency for automation and data manipulation
- Clear communicator who can translate between technical and non-technical stakeholders
Bonus points for:
- Experience with orchestration tools (Dagster / Airflow)
- Real-time pipeline experience
- Familiarity with ML workflows and feature engineering
“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.”
Jessica, London
Skills
Location