EXPERTISE

Data Engineering

Is your data siloed, unreliable, or unusable? We build and strengthen your data foundations—including your architecture, pipelines, and governance—so your teams can finally rely on high-quality data.

The finding

Without a solid data foundation, all your analytics and AI projects are built on sand. Poor data quality, fragile pipelines, and silos between systems: these issues hold back the entire organization and delay value creation. This is precisely where our Data Engineering Practice comes in.

Our support

Our experts work closely with your teams to understand your challenges before proposing solutions. We support you throughout the entire process: from auditing your existing data assets to deploying your data pipelines and ensuring long-term governance.

What we solve

Is your data scattered across disparate systems that are difficult to consolidate?

We consolidate your data sources and build a data architecture tailored to your needs.

Are your pipelines fragile, manual, or not very scalable?

We manufacture them on an industrial scale and automate the process to ensure reliability and performance.

Is the quality of your data insufficient to support your reporting and AI projects?

We implement governance and quality control processes that enable you to turn it into a reliable asset

Our expertise

Data architecture

Ingestion & orchestration

Processing & Modeling

Governance & Data Quality

DataOps & CI/CD data

Cloud data platforms

Our professions

Data Engineer

Data Architect

Analytics Engineer

DataOps

Examples of assignments

How we work

We always start by gaining a deep understanding of your context before making any recommendations. There is no one-size-fits-all solution: every data architecture is tailored to your specific requirements, your tech stack, and your product goals.
Our Data Engineers work closely with all your Product, Design, Development, Data Analysis, and Data Science teams to ensure that data is never siloed but rather a shared asset that supports your products and business decisions.

Do you have a project in Data Engineering?

APPROACH 1

Staffing

A consultant who works closely with your data teams to provide targeted expertise and support your technical and organizational goals.

APPROACH 2

Consulting & Auditing

Support from one or more experts on a strategic or operational issue: an audit of your architecture, defining your data targets, and structuring your governance.

APPROACH 3

Customized workshop / training

A customized workshop lasting from half a day to three days to solve a data-related problem, define your target architecture, or educate your teams on best practices.

They give us trust

BPCE
Radio France
France tv
Tarkett
SNCF Connect
Pathé
Engie
BNP Paribas
Samsung
Marionnaud
Groupama
Maisons du monde
Renault Digital
Schneider
Boursorama
Airbus
Infomil
Safran
Carrefour
Geev
Arkea
EDF
Betclic
CDiscount
Matmut
BPCE
Radio France
France tv
Tarkett
SNCF Connect
Pathé
Engie
BNP Paribas
Samsung
Marionnaud
Groupama
Maisons du monde
Renault Digital
Schneider
Boursorama
Airbus
Infomil
Geev
Safran
Carrefour
Arkea
EDF
Betclic
Cdiscount
Matmut

Data as the foundation of your performance

When it comes to data transformation, it all starts with the quality of the foundation. Without a robust architecture and reliable pipelines, no analytics project or AI model can deliver on its promises. Data is a strategic asset, but you still need to be able to trust it.
Data Engineering is precisely that foundation: designing, building, and maintaining the infrastructure that enables data to be collected, transformed, and made available to those who need it, at the right time and in the right format.

An approach focused on your business challenges

Data is only valuable if it informs concrete decisions. Our experts don’t just build data pipelines; they understand your business challenges so they can design architectures that truly address them.

Understanding your technical and organizational contexts

A methodical and iterative approach

Close collaboration with your data, product, and business teams

Ongoing monitoring of data technologies and practices

Goal: to deliver reliable, scalable, and sustainable data infrastructure. Every architectural decision is tailored to your current needs and future goals. Because a strong data foundation is one that grows with you.

Consolidate your sources and improve the reliability of your data feeds

Data scattered across disparate systems means energy is wasted on reconciling information rather than deriving value from it. We work across the entire data ingestion chain, from collection to transformation, to build robust, automated, and well-documented pipelines.
This technical rigor is essential for ensuring that your analytics teams, data scientists, and business units can work with reliable data.

Governance as a driver of performance

A data architecture without governance is a fragile architecture. We incorporate data quality, traceability, and security considerations right from the design phase to ensure that your data assets remain reliable and usable over time.
Data catalogs, access management, quality control, and documentation: these are just some of the practices we implement to help your organization achieve sustainable data maturity.

Data in the Service of Products and Business Units

Our Data Engineers work closely with all relevant stakeholders—data analysts, data scientists, product managers, developers, and business teams—to make data a common language that supports a shared vision.
This cross-functional approach accelerates projects, reduces friction between teams, and ensures that the foundations we build meet the organization’s real needs. The result: more autonomous teams, more informed decisions, and higher-performing products.

Latest news in Data Engineering

Expert articles, interviews, case studies, and recaps of our
exciting events and internal projects.

Discover our other Data expertise

Data Analysis

Data Science & AI