Searchability®
Geospatial Engineer

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Geospatial Engineer
Employer: Searchability
Location: London / Hybrid
Job Type: Permanent
Searchability is recruiting on behalf of an innovative technology business operating within the data intelligence and environmental analytics space.
You will work alongside data scientists, engineering and analysts, ensuring critical datasets are reliable, scalable and readily available for analysis and customer-facing products.
Responsibilities
- Build and maintain production pipelines for remote sensing, weather and environmental datasets
- Analyse satellite, weather and other geospatial and identify valuable new data sources
- Ensure reliable and timely delivery of large-scale geospatial
- Promote engineering best practices and provide technical guidance across the business
- Work closely with multidisciplinary data and analytical teams
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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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.
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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.
Essential Experience
- Strong commercial experience with Python
- Experience building and deploying robust production data pipelines
- Strong geospatial Python experience including tools such as Pandas, Xarray, Rasterio and GeoPandas
- Workflow orchestration experience with Airflow, Dagster or similar
- Cloud computing experience, ideally AWS
- Strong understanding of data engineering best practices, deployment and monitoring
- Experience with modern GIS tools such as QGIS
- Strong written and verbal communication skills
- Comfortable working collaboratively and delivering within short timelines
- Fluent English


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Desirable Experience
- Experience working with weather forecasting or reanalysis, remote sensing and satellite data such as MODIS, VIIRS or Sentinel-2, and environmental or agricultural production datasets would be highly advantageous.
- A university degree in Computer Science, Mathematics, Physics or a related technical discipline is also required.
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