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Backend / Data Platform Engineer

London, United Kingdom

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s listing: FullTime
From the employer’s posting
Apply at Foundational

What you’ll work on

Full posting
  • Build ingest pipelines from stations and third-party data sources

  • Design data models and storage for high-volume time-series scientific data

  • Build and maintain customer APIs and data delivery in standard formats

  • Make pipelines reliable, observable and secure, including for strict data-handling customers

From the employer’s posting
Build ingest pipelines from our stations and from third-party data sources
Design data models and storage for high-volume, time-series scientific data
Build and maintain customer APIs and data delivery in standard formats
Make pipelines reliable, observable and secure, including for customers with strict data-handling requirements

What you’ll bring

All qualifications

Core experience

  • Extensive experience building backend systems in production
  • Strong Python (or Go or Rust) and SQL
  • Experience with data pipelines, message queues and time-series storage
  • Cloud infrastructure and containers (Docker, Kubernetes)
  • Care for testing, security and documentation

Preferred experience

  • Scientific or geospatial data experience
  • Space data standards (CCSDS, CRD)
  • Streaming platforms such as Kafka
Qualification wording
Extensive experience building backend systems in production
Strong Python (or Go or Rust) and SQL
Experience with data pipelines, message queues and time-series storage
Cloud infrastructure and containers (Docker, Kubernetes)
Care for testing, security and documentation
Scientific or geospatial data
Space data standards (CCSDS, CRD)
Streaming platforms such as Kafka

Tools in this posting

  • Python
  • Rust
  • SQL
  • Docker
  • Kafka
  • Kubernetes
  • Go
Source — Tool mentions in context
- Extensive experience building backend systems in production - Strong Python (or Go or Rust) and SQL - Experience with data pipelines, message queues and time-series storage
- Experience with data pipelines, message queues and time-series storage - Cloud infrastructure and containers (Docker, Kubernetes) - Care for testing, security and documentation
- Space data standards (CCSDS, CRD) - Streaming platforms such as Kafka - A background in space situational awareness

Benefits in the posting

Full benefits wording
  • 25 Days Annual Leave + Bank Holidays
  • Enhanced Parental Leave
  • Cycle to work schemes

From the employer’s posting.

About Foundational

Foundational is building the most precise picture of Earth and orbit, using lasers fired from the ground.

In the employer’s words · Read in context

Posting record

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Status in our records
Live
First seen by us
Oct 3, 2026 · 15 days ago
Recorded sightings
13
Last seen by us
Oct 18, 2026
Employer says posted
Sep 30, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

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Job description

View original posting ↗

Backend / Data Platform Engineer

This is a future role. We're building a shortlist now and will contact you when it opens.

About us

Foundational is building the most precise picture of Earth and orbit, using lasers fired from the ground. We call it ground truth for orbit.

We design and run low-cost, autonomous satellite laser ranging stations. They measure the distance to satellites with extreme precision, day and night. Our data platform turns those measurements into tracking data and orbit products for satellite operators, space agencies and governments. We also build our own flight-proven laser retroreflector arrays, so any satellite can be tracked.

Our station network is expanding across Europe, South America, Africa and Australia. The data supports resilient navigation, Earth observation and the safe, sustainable use of space.

We're a small, fast-moving team of engineers, scientists and operators in London. We're backed by venture investors and supported by ESA, the UK Space Agency, Innovate UK and the European Innovation Council.

Position Overview

London · Full time · On-site

You'll build the platform that ingests, processes and serves our tracking data, all the way from station to customer API.

What you'll do

  • Build ingest pipelines from our stations and from third-party data sources

  • Design data models and storage for high-volume, time-series scientific data

  • Build and maintain customer APIs and data delivery in standard formats

  • Make pipelines reliable, observable and secure, including for customers with strict data-handling requirements

  • Work closely with front-end, geodesy and orbit determination engineers

What you'll bring

  • Extensive experience building backend systems in production

  • Strong Python (or Go or Rust) and SQL

  • Experience with data pipelines, message queues and time-series storage

  • Cloud infrastructure and containers (Docker, Kubernetes)

  • Care for testing, security and documentation

Nice to have

  • Scientific or geospatial data

  • Space data standards (CCSDS, CRD)

  • Streaming platforms such as Kafka

  • A background in space situational awareness

What We Offer

  • A high-impact role with real ownership at an early-stage, venture-backed spacetech company

  • EMI share options (UK employees)

  • 25 Days Annual Leave + Bank Holidays

  • Enhanced Parental Leave

  • Cycle to work schemes

  • Work alongside engineers and scientists across optics, lasers, software and astrodynamics

  • Offices in central London, with snacks, tea, coffee and regular social

We actively champion underrepresented groups and seek to bridge gaps in our workforce. If you're excited by the role but don't match every point, or you’re seeking a part time role, please apply anyway and add a note into your application. Building the best team is our priority.

Source details

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Pay

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Location & working pattern

London, United Kingdom

Position Overview London · Full time · On-site You'll build the platform that ingests, processes and serves our tracking data, all the way from station to customer API.
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