Smartpoint Tech Stack

Data and AI consulting firm covering architecture, pipelines, and ML deployment

IT Services and IT Consulting Paris, Île-de-France 201–500 employees Founded 2006 Self-Owned

Smartpoint is a French consulting firm built around end-to-end data and AI delivery. The tech stack reveals a mature, production-focused operation: Java, Python, Scala, and Spark for heavy lifting; Databricks and Azure Data Factory for orchestration; TensorFlow and PyTorch for model work; Collibra for governance. Active hiring is concentrated in data roles (21 open), with senior engineers dominant—a profile that matches their project focus on migrating clients toward datalakehouse architectures, industrializing DataOps/MLOps, and integrating generative AI into products.

Tech Stack 121 technologies

Core StackJava React AWS JavaScript Spring Databricks Apache Spark Python Scala Hadoop PostgreSQL Bitbucket Ansible Cassandra TensorFlow PyTorch scikit-learn Azure Data Factory Azure Functions Azure DevOps Power BI Android HTML5 SQL Temenos T24 R Azure Data Lake Azure SQL Database Azure Analysis Services Azure Fabric+91 more

What Smartpoint Is Building

◆Challenges

Performance requirements
Industrializing data processes
Migrating legacy data to collibra
Implementing data governance workflows
Scaling data and ai projects
Data security and compliance
Data swamp
Reducing number of technologies
Excessive data storage
High-volume data processing

▲Active Projects

Integrating generative ai
Developing data pipelines
Designing durable data architectures
Migration of existing content to collibra
Industrializing dataops and mlops
Test repository construction
Test strategy development
Collibra implementation for it department
Developing ai/ml models for complex problems
Integrating ai/ml solutions into products

Hiring Activity

Decelerating35 roles · 6 in 30d

Department

Data

Engineering

Sales

Ops

Support

Seniority

Senior

Mid

Lead

Junior

Notable leadership hires: Tech lead, Team Lead

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About Smartpoint

Smartpoint, founded in 2006, operates as a data and AI consulting firm with 350 consultants delivering architecture design, pipeline industrialization, and AI deployment across mid-market and enterprise clients. The firm covers five core practices: data platform architecture and modernization (datalakehouse, data mesh, event-driven designs); data engineering and XOps (pipeline automation, CI/CD, observability); AI and generative AI (LLM deployment, copilots, model training); business intelligence (modernized datamarts, real-time dashboards); and data governance (Collibra catalogs, lineage, compliance). Headquartered in Paris with offices in Tunis and Casablanca, Smartpoint is ISO 27001/27701 certified and holds Gold Ecovadis status. Hiring remains active but decelerating, concentrated in senior data and engineering roles, with expansion in France and Portugal.

HeadquartersParis, Île-de-France

Company Size201–500 employees

Founded2006

Hiring MarketsFrance, Portugal

Frequently Asked Questions

What tech stack does Smartpoint use?

Smartpoint uses Java, Python, Scala, and Spark for core processing; Databricks and Azure Data Factory for orchestration; TensorFlow and PyTorch for ML; PostgreSQL, Azure SQL Database, and Cassandra for storage; Collibra for governance; Power BI for analytics; and Azure DevOps for CI/CD.

What is Smartpoint working on?

Smartpoint is focused on generative AI integration, designing durable data architectures, migrating clients to Collibra for governance, industrializing DataOps/MLOps, developing AI/ML models, and reducing technology sprawl through platform consolidation.