Data Engineering

Transform your data into performance drivers

Our experts design and optimize reliable, scalable data pipelines, tailored to your specific needs, and easily integrated with your existing systems to turn your data into a strategic asset and maximize its value.

Data Engineering

The leaders choose us

Rely on our expertise to turn your data into a strategic asset

We help you design robust architectures and optimize pipelines to guarantee reliable, high-performance data flows. Whether you're just starting out or at an advanced stage, we maximize the value of your data to accelerate the success of your Data projects.

Our expertise

We design ingestion and transformation pipelines for processing massive volumes of data (several million per day). Our skills cover Data Transformation (ETL/ELT pipelines), Batch (Apache Spark...), Streaming (Google Dataflow, Apache Beam / Flink...) and Event (Apache Kafka... ) processing, as well as the orchestration andautomation of complexworkflows using technologies such as Apache Airflow / Dagster.

Examples of technologies used

Our expertise

We centralize and migrate your data into reliable, secure and scalable storage spaces to build your Single Source of Truth (SSoT). Our solutions cover Data Warehouse (Google BigQuery, AWS Redshift) and Data Lake House architectures (on Cloud solutions such as Databricks, or on-premises with a Minio / Dremio / Apache Iceberg stack, for example).

Examples of technologies used

Our expertise

We optimize and deploy your Data infrastructures continuously and automatically (Infrastructure as Code with "Terraform") on your own servers or on the main Cloud Providers (GCP, AWS, Azure, OVH, Outscale...). Your architectures are scalable, secure and fully monitored (metrics/dashboard, alerting, logging, tracing) with a Prometheus / Grafana stack to make your operations more reliable.

Examples of technologies used

Our expertise

We industrialize your AI projects with ML Ops Cloud platforms (AWS Sagemaker / Azure ML / Vertex AI) or on-premise with ZenML, consolidating your pipelines from end to end: from experimentation withexperiment tracking solutions to production deployment, integrating model serving / versioning and orchestrating your training pipelines (with Airflow, for example). Your data is stored, secured and versioned in specialized feature stores for live or batch interrogation.

Examples of technologies used

Our expertise

We offer complete analytics solutions, from processing/storage in OLAP databases ( e.g. Google BigQuery, Apache Druid ) to the integration of data visualization solutions (e.g. Apache Superset, Tableau). Our expertise transforms your data into actionable insights via advanced visualization and reporting tools.

Examples of technologies used

Our expertise

We strengthen the governance, traceability (Data Lineage, Data Monitoring) and security of your data, ensuring its compliance (Data Compliance) and quality throughout its lifecycle. We can help you structure your organization around your data needs, with Data Mesh-type organizations.

Our expertise

We design ingestion and transformation pipelines for processing massive volumes of data (several million per day). Our skills cover Data Transformation (ETL/ELT pipelines), Batch (Apache Spark...), Streaming (Google Dataflow, Apache Beam / Flink...) and Event (Apache Kafka... ) processing, as well as the orchestration andautomation of complexworkflows using technologies such as Apache Airflow / Dagster.

Examples of technologies used

Our expertise

We centralize and migrate your data into reliable, secure and scalable storage spaces to build your Single Source of Truth (SSoT). Our solutions cover Data Warehouse (Google BigQuery, AWS Redshift) and Data Lake House architectures (on Cloud solutions such as Databricks, or on-premises with a Minio / Dremio / Apache Iceberg stack, for example).

Examples of technologies used

Our expertise

We optimize and deploy your Data infrastructures continuously and automatically (Infrastructure as Code with "Terraform") on your own servers or on the main Cloud Providers (GCP, AWS, Azure, OVH, Outscale...). Your architectures are scalable, secure and fully monitored (metrics/dashboard, alerting, logging, tracing) with a Prometheus / Grafana stack to make your operations more reliable.

Examples of technologies used

Our expertise

We industrialize your AI projects with ML Ops Cloud platforms (AWS Sagemaker / Azure ML / Vertex AI) or on-premise with ZenML, consolidating your pipelines from end to end: from experimentation withexperiment tracking solutions to production deployment, integrating model serving / versioning and orchestrating your training pipelines (with Airflow, for example). Your data is stored, secured and versioned in specialized feature stores for live or batch interrogation.

Examples of technologies used

Our expertise

We offer complete analytics solutions, from processing/storage in OLAP databases ( e.g. Google BigQuery, Apache Druid ) to the integration of data visualization solutions (e.g. Apache Superset, Tableau). Our expertise transforms your data into actionable insights via advanced visualization and reporting tools.

Examples of technologies used

Our expertise

We strengthen the governance, traceability (Data Lineage, Data Monitoring) and security of your data, ensuring its compliance (Data Compliance) and quality throughout its lifecycle. We can help you structure your organization around your data needs, with Data Mesh-type organizations.

A state-of-the-art team

Over the years, we've built up an elite team dedicated to the success of your projects. The ingredients of this success? Selective recruitment, a policy of building troop loyalty and a fulfilling, intellectually stimulating environment (#1 in the HappyAtWork 2024 label).

expertsin Data Engineeringamong the best on the market

Data Engineer

Data Architect

Data Ops

ML Engineer

LLM/MLOps Engineer

Technical excellence

Our engineers, who come from the best French and European educational establishments, have mastered the state of the art in all areas of AI technology, and are recognized in the ecosystem as top-level experts.

Multidisciplinary expertise

Our 100+ experts cover all the skills needed to design and industrialize your AI projects: Data Science, Data Engineering, DataOps, MLOps, Software Engineering...

Speed and business vision

Our teams' high level of technical expertise translates into a speed that our customers notice and measure, enhanced by a rapid understanding of business challenges, and even sector specialization for certain profiles.

Maker DNA, commitment and advice

That's how our customers describe us: pleasant, committed personalities working alongside in-house teams, who like to roll up their sleeves to find elegant solutions to complex problems.

Unique skills repository and tracking

We have developed in-house the most advanced skills tracking platform on the market: 40+ technological headings, 130+ LLMs & GenAI hard skills, soft-skills families, management tools...

Hundreds of projects to our credit

Our experience has been forged through the deployment of hundreds of pure Data Engineering projects, or projects combining the disciplines of Data Engineering with those of Software Engineering and Data Science, whether large-scale custom projects for our customers or our own products.

Hundreds of custom projects...

60+

key account customers

100+

large-scale projects

400+

Innovative MVPs developed

...and state-of-the-art products...

Callbots

SearchBots

Chatbots

...deployed on a large scale

100M+

hundreds of millions of conversations handled by our bots / year

***

100M+

hundreds of millions of documents processed by our solutions / year

*** 

10M+

tens of millions ofend-users of our solutions

A legitimacy on the customer side

Randstad

How did Randstad centralize its data with a Data Mart to improve quality and optimize its business processes?

Find out how Randstad centralized its data with a Data Mart, improving information quality and optimizing its ...
How GEOPOST set up a bespoke, scalable Datalakehouse to boost AI applications?

How GEOPOST set up a bespoke, scalable Datalakehouse to boost AI applications?

Find out how Geopost modernized its data infrastructure by implementing a scalable Datalakehouse and Kafka pipelines to ...
How has MAIF equipped itself with optimal MLOps infrastructures to scale up its AI projects?

How has MAIF equipped itself with optimal MLOps infrastructures to scale up its AI projects?

Find out how MAIF successfully industrialized its AI solutions with MLOps and LLM Ops practices, optimizing ...

An ecosystem of qualified partners

The quality of our solutions is recognized by a whole ecosystem of specialists who are now our partners in the academic, scientific, technical,integration and distribution fields.

What customers say about us

Our intervention modalities

Turnkey project - La Factory

Entrust us with the design and realization of your project from A to Z: from R&D and prototyping to scaling up and deployment of the solution in your business.

👨‍💻 Extended Team - Resources

Our talents reinforce your teams for one or more projects. We select the most qualified profiles in both hard and soft skills, so that we can collaborate and deliver in harmony.

Expert tech consulting

A specially selected expert will support you in your technological choices and the resolution of your tech issues: modeling, technological choices, architecture, deployment...

An expert, friendly and committed team, that's something you don't find on the streets...