BIAL-X_
As of 1 November 2026, BIAL-X has 12 open roles (0 new in 30 days), its data & ai team is hiring most, and its postings name SQL, Python and Apache Spark as the tools the team works in.
As of 1 November 2026 · refreshed daily · counts move as websites, DNS and career sites are re-read.
- Headquarters
- Limonest, Auvergne-Rhône-Alpes, France
- Employees
- 51-200 employees (linkedin)
- Sells to
- social housing landlords, it, data and business teams, it and data teams
- Certifications on site
- Site languages
- FR
- Career system
- Wttj
BIAL-X in one screen
Read from bial-x.com: what the company does, the customers it names, the buyers we can actually see, and the companies that sell the same thing.
BIAL-X is a data and AI consulting firm that helps IT, data and business teams turn data into a decision-making lever. Its expertise spans business intelligence, big data, cloud computing, data science and AI, and technology training, delivered through product suites such as BialBOX and CityScore. It notably supports social housing landlords in managing and transforming their data.
Named on the site: social housing landlords, it, data and business teams, it and data teams.
Nearest companies by what they do, sell and whom they serve, 51+ employees. 598 scored.
What BIAL-X says it runs
Tools named in the company's own postings as the team's systems, with the sentence that says so. What the website and DNS show is listed separately.
• Bon niveau en SQL, Spark, Python• Bon niveau en SQL, Spark, Python• Niveau avancé en Python, Spark et SQL• Expérience : 3 ans en data engineering, dont une année sur Databricks.• Connaissance des outils de développement continue et d’industrialisation : CI/CD, IaC, GitHub, Azure DevOps.• Connaissance des outils de développement continue et d’industrialisation : CI/CD, IaC, GitHub, Azure DevOps.• Connaissance des outils de développement continu et d’industrialisation : CI/CD, Terraform, GitHub, Azure DevOpsVous avez également de bonnes connaissances pratiques dans plusieurs des librairies et technologies suivantes : Databricks, MLflow, Azure Data Factory, Kubernetes, Docker, Pytest, Git, Flask, Streamlit.Vous avez également de bonnes connaissances pratiques dans plusieurs des librairies et technologies suivantes : Databricks, MLflow, Azure Data Factory, Kubernetes, Docker, Pytest, Git, Flask, Streamlit.Vous contribuerez activement au centre d’expertise qui vous permettra de développer votre cœur de compétences, mais également de vous ouvrir sur d’autres domaines (Azure, DataFactory, Databricks, Snowflake,…)• Expérience : minimum 3 ans en data engineering, dont au moins une expérience significative sur la plateforme Fabric.• Connaissance d’une base de données (SQL Server, Snowflake,..)· Connaissance d’un langage de programmation lié à l’analyse avancée : Python, PysparkVous contribuerez activement au centre d’expertise qui vous permettra de développer votre cœur de compétences, mais également de vous ouvrir sur d’autres domaines (Azure, DataFactory, Databricks, Snowflake,…)Vendors whose code loads on bial-x.com or whose records sit in its DNS. Page plumbing (libraries, fonts, consent banners) is left out.
12 open roles, 12 opened in 90 days
Read hourly from the company's career system. Open roles and new roles in the last 30 days, by team. Companies hiring data & ai in France →
| open · new 30 d | |
|---|---|
| Data & AI | 12 · 0 |
What is changing, read from the postings
Intents are events the employer states about itself, each with the sentence and the posting it came from.
No change signals read in the current postings.
Sales, marketing and IT leaders by function. Add BIAL-X to a monitor and get a webhook when a role opens, a tool appears or a signal is read.
Free plan: 1,000 records, no card. The first 20 are above; e-mails are verified at the mail server when you open them.
Companies like BIAL-X
Nearest by what they do, what they sell and whom they sell to, 51+ employees. 6 of 598 scored.
From the company's own website
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
BIAL-X (Limonest, France, 51-200 employees) has 12 open roles, 0 new in 30 days, and names 14 tools in its postings. (Breaknorm, 1 November 2026, https://breaknorm.co/company/bial-x.com)
Read from the source, not self-reported
Every number on this page can be traced to a page we crawled or a posting we read. Full methodology →
- ProfileBuilt from bial-x.com: summary, offerings, customers, certifications and contact points are extracted from its pages, with a confidence score per field.
- HiringRead hourly from the company's Wttj career site; reposts collapse into one record.
- Tech stackTools the employer's own text names as the team's systems, with the quote; website scripts counted separately.
- HeadcountLinkedIn where known, otherwise estimated from the site.
BIAL-X: questions
Does BIAL-X use SQL?
Yes, by the company's own words: 12 postings name it, first seen 2026-09-04, in the data & ai team.
Is BIAL-X hiring?
12 open roles as of 1 November 2026, 0 opened in the last 30 days and 0 closed. The largest team hiring is data & ai.
Where does this profile come from?
From bial-x.com itself: we crawled it on 2026-08-07, built the profile on 2026-08-16, and read its career site (Wttj) hourly since. Headcount is from LinkedIn.
Who should I write to at BIAL-X?
The people are behind the login: decision makers by function, verified at the mail server when you open them. 1 public role addresses from the site are there too.
Get this company your way
The same data as a search, over MCP and the API, as bulk files, or pushed to you as it changes.
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