Data Engineer, Inarix
€55-75k
Crop analysis platform
Be an early applicant
Crop analysis platform
21-100 employees
Be an early applicant
€55-75k
21-100 employees
Company mission
To help farmers better determine the quality and value of their crops, making for a more efficient food supply system.
Role
Who you are
- 2+ years of experience as a Data Engineer or similar position
- Working experience with Python (Pandas, NumPy & common libraries)
- Working experience with SQL
- Working experience with any cloud platform (AWS, GCP, or Azure)
- Git, Github, or alternatives
- Docker, docker-compose
- English (good written and spoken English)
- Autonomous, Proactive, Team-player, Good communication
Desirable
- Experience with PostgreSQL, BigQuery
- Experience with ETL pipelines (dbt, dagster, argo-workflow, airflow, or any other)
- Experience with no-SQL databases (Elasticsearch, MongoDB, or any other)
- Worked on an ML-oriented data platform
What the job involves
- As a data engineer, you will be in charge of the heart of Inarix: making our models run in a heartbeat and data flowing everywhere
- You'll quickly become a key contributor to our data platform which is used both by our customers and by our research and development team
- This means improving constantly the current platform as well as expanding it with the latest technologies, by benchmarking, prototyping, and shipping new bricks in production
- Currently based on a combination of Python, PostgreSQL, dbt, Dagster, Qdrant, and cloud services (AWS & GCP)
- You'll have the opportunity to expand and transform these services to support our ambitious growth plan
- Collect large datasets continuously from various sources, filter, sort, process, store, and redirect data into our training pipelines, R&D experiments, and analytics solutions. Importantly, we expect to leverage AI-agent pipelines to ingest messy data locked in documents and images
- Support data access to our R&D team by contributing to our ETL processes (APIs, dbt, PostgreSQL) and our core library in python
- Improve and extend our data model, including the addition of new crop quality criteria and traceability data
- Expand our data monitoring and data-quality control using pipelines, models, dashboards, alerts, tracing products, etc
- Contribute to our data ingestion, transformation, and access layers
- Contribute to data modeling for new projects & products
- Contribute to expanding our data platform capability (data warehousing, lineage, monitoring)
- Interact with our R&D team about the usage of the data platform and how to continuously improve it
Application process
- The whole process is comprised of 4 interviews + a technical test
Our take
Meeting the demands of our rapidly growing global population is an increasingly intricate task, with the adverse impact of climate change on crop yields, disruption in the supply chain due to geopolitical issues, frequent occurrences of extreme weather events, and the ever-increasing inflationary pressure. These issues have made it even more critical for producers to be able to get the most out of their crops.
Inarix, established in 2018, is a crop analysis platform powered by artificial intelligence. By leveraging the capabilities of smartphones, users can capture photographs of crops and upload them to obtain real-time crop qualification results. The data generated by Inarix enables users to make well-informed decisions regarding crop values and quality, allowing for timely and appropriate action to be taken when needed.
Currently, Inarix works with cereal producers in France, offering them the capability to analyse and assess the quality of their primary crops, barley and soft wheat. With recent funding, the company is now poised to further advance its technology and expand its crop analysis services to include corn, soybeans, and coffee within the coming year. With its achievements in France, Inarix is also actively pursuing integration into the US markets to broaden its global presence.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (1 round)
Feb 2023
$3.5m
SEED
Total funding: $3.5m
Company HQ
Saint-Georges, Paris, France
Leadership
Pierre Chapelle
(CEO)Graduated from Arts et Métiers ParisTech with a Masters degree in Engineering. Previously worked as a Business Analyst at L'Oréal, as a Project Cost Controller at AREVA, a Transaction Advisor at EY and as the CFO and Deputy CEO at Spectralys Innovation.
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