BWI

BWI - which stands for Blue Water Intelligence, was established in June 2022 in Toulouse, France. BWI clients like to see us as their basin digitization company. BWI specializes in the monitoring of inland surface water reserves around the globe. BWI brings together in-situ data, spaceborne observations and machine learning to feed and empower hydrological and hydrodynamical models, and provide clients with data and insights on their points of interest. A provider of online subscription-based services, BWI aims to make scalable - across space and time - hydrological forecasts to address climate change induced water stress. Improvements in the prediction of water availability, water quality, floods, and droughts at local and regional scales will help the population and businesses build climate resilience, as well as enable scientists to understand the water cycle deeper.

bwi.earth

BWI

bwi.earth

HQFR

Team Size34

Open Jobs3

Total Funding-

Latest FundraiseUnknown

TL;DR

Founded: June 2022

Headquarters: Toulouse, France

Core product: Subscription access to 'virtual stations' for river flow, water level, and freshwater metrics

Employees (approx.): 34

Company Overview

Problem Domain

Monitoring and forecasting of inland surface water (river flows, water levels, continental freshwater metrics) to address climate-change-induced water stress and improve climate resilience.

Founded

2022

Industry

Environmental Services

Funding Track Record

Capital increase (January 2024)- January 2024

Capital increase reduced founder Hemeria Invest to a minority shareholder holding less than 10%.

Investor Signal

“Founded by Hemeria Invest; Hemeria Invest held majority ownership from creation until January 2024 when it became a minority (<10%)”

Founders

What we do

TL;DR

Company Overview

Funding Track Record

Founders

What we do

BWI

bwi.earth

BWI

bwi.earth

HQFR

Team Size34

Open Jobs3

Total Funding-

Latest FundraiseUnknown

TL;DR

Founded: June 2022

Headquarters: Toulouse, France

Core product: Subscription access to 'virtual stations' for river flow, water level, and freshwater metrics

Employees (approx.): 34

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Company Overview

Problem Domain

Monitoring and forecasting of inland surface water (river flows, water levels, continental freshwater metrics) to address climate-change-induced water stress and improve climate resilience.

Founded

2022

Industry

Environmental Services

Funding Track Record

Capital increase (January 2024)- January 2024

Capital increase reduced founder Hemeria Invest to a minority shareholder holding less than 10%.

Investor Signal

“Founded by Hemeria Invest; Hemeria Invest held majority ownership from creation until January 2024 when it became a minority (<10%)”

Founders

What we do

Related Companies

Company	HQ	Industry	Total Funding
leakmited	🇫🇷FR	Data and AnalyticsDeepTechHardwareInformation TechnologySoftwareSustainability	-
Hydrosat	🇺🇸Washington, US	Agriculture and FarmingDeepTechInformation TechnologySoftware	$96M
Harmattan AI	🇫🇷Paris, FR	DeepTechManufacturing	-
Winside Technology	🇫🇷Paris, FR	Data and AnalyticsDeepTechInformation TechnologyInternet ServicesProfessional ServicesSoftware	-
Open Cosmos	🇬🇧Harwell, GB	Data and AnalyticsDeepTech	$63M

Join the Team

Data Engineer

On-SiteParis, Île-de-, FR

On-Site • Paris, Île-de-, FR

Big Data Engineer - Pipelines

Location: Paris or Toulouse

Salary: €60,000 - 75,000

Our mission:

Only 1% of freshwater on earth is usable for humanity’s needs and climate change is exacerbating both water scarcity and water hazards – such as floods, droughts, and water pollution.

BWI is an impact startup on a mission to use data and machine learning to provide governments and companies with river flow forecast services in order to help better adapt to the impact of climate change on water management and availability. BWI subscribers benefit from near real-time hydrological forecasts based on dozens of data sources – such as space sensors, weather radars, and other ground sensors.

Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.

Technical Writer

Part-timeRotterdam, NL

Part-time • Rotterdam, NL

Frontend Developer

Part-timeNovi Sad, RS

Part-time • Novi Sad, RS

Backend Developer

Full-timeBelgrade, RS

Full-time • Belgrade, RS

Frontend Developer

InternshipAustin, US

Internship • Austin, US

Product Designer

InternshipManchester, GB

Internship • Manchester, GB

Machine Learning Engineer

ContractCambridge, GB

Contract • Cambridge, GB

After recently securing a major new contract, we’re now looking for 3 x Big Data Engineers to join our engineering team in either our Paris or Toulouse offices.

Working as part of either our satellite or water simulation team, you will be responsible for building and operating data ingestion and processing pipelines for terabytes of weather and hydrological data.

You’ll be focused on ensuring scalable, reproducible and production-grade delivery of model inputs and outputs.

Responsibilities:

Implement ingestion (batch/streaming), ELT/ETL steps, and data publishing workflows.
Handle scientific formats (netCDF, GRIB2) and columnar storage (Parquet); optimize I/O and algorithms.
Design storage with eventual‑consistency patterns (atomic publishes, manifests, versioned paths) and a metadata catalog.
Partition and parallelize workloads for distributed compute; compact small files and tune for cost/performance.
Build and run containerized services and orchestrated workflows; ensure observability, retries, idempotency, and runbooks.
Collaborate with scientists to define data models and validation rules.

Top paradigms & architectural patterns required:

ELT-first with ETL where needed; streaming/micro-batch for low-latency sources
Data lake + metadata catalogue (object storage), data model design for cataloguing
Partitioned columnar storage & distributed data-parallel processing
Idempotent, restartable workflows with orchestration
Versioned datasets, atomic publish patterns, and catalogue as source of truth
Observability-driven ops and infra-as-code

Essential tools & technologies:

Python (xarray, netCDF4, pyarrow), PySpark or Dask
S3-compatible object storage; Parquet format
PostgreSQL / PostGIS
Kubernetes + Docker for deployment
AWS (S3, EKS, EC2) or equivalent cloud; Terraform for IaC

3+ years relevant experience building/operating large data pipelines
Strong software engineering in Python with testing and CI/CD
Practical experience with partitioning, and parallelism
Computer science education
Understanding of architectural patterns in storing & processing large volumes of data
Humility & eagerness to accept both: full hands-on coding position or technical leadership depending on circumstances
Clear communication, teamwork, and analytical problem-solving

Hydrology, meteorology, remote-sensing or space-ground-segment experience
STAC, GeoTIFF, PostGIS, Numba/Cython performance tuning
Understanding of low-level subject (memory management, HTTP, S3 implementation)
Willingness to develop managerial skills

Dynamic, fast paced start-up, working on an important problem for humanity.
Multicultural Team - With team members from various countries like France, Poland, India, Lebanon and Morocco, you will be exposed to a multicultural work environment.
Offices in Central Paris and Toulouse
Diverse Domains - work across software engineering, hydrology, climate and satellite.
Hybrid working w/ 4 days in office and 1 day remote.