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Data is only useful if it can be moved, transformed, and delivered reliably. 

Many organisations struggle with fragmented pipelines, manual processes, and growing complexity across systems. This makes it harder to access data, maintain quality, and support analytics or AI at scale. 

We help you simplify and modernise your data engineering so data flows efficiently across your organisation. 

From fragmented pipelines to a connected data flow 

Over time, data engineering becomes complex and difficult to manage. 

Different tools, custom builds, and siloed systems increase cost and reduce flexibility. 

We bring a more standardised and scalable approach, integrating your existing systems with proven data services so data can be accessed, transformed, and used consistently. 

We focus on building practical, scalable data engineering solutions. 

  • Design and implement modern data pipelines for ingestion and transformation 
  • Integrate data across platforms, systems, and applications 
  • Standardise tools and approaches to reduce complexity 
  • Automate data processes to improve efficiency and reliability 
  • Embed governance, security, and compliance into data pipelines 

Designed for efficiency, not complexity 

Data engineering should make things easier, not harder. 

We reduce the need for heavy custom development by using proven approaches and services, helping you deliver faster and manage data more efficiently as your needs grow. 

Key Benefits

  • Reliable, scalable data pipelines across your organisation 
  • Faster access to data for analytics and AI 
  • Reduced cost and effort through standardised approaches 
  • Improved data quality, security, and compliance 

Why Sogeti

We combine proven accelerators with practical delivery experience. 

Our teams work with your existing tools, processes, and architecture to deliver solutions that fit your organisation. We focus on simplicity, scalability, and ensuring your data engineering supports real business use. 

Data trends

50%

of organisations place data at the core of their decision-making processes

16%

of orgs are considered data masters, showing how few have achieved this status

20%

of business executives trust their data

These stats highlight the importance of data quality, trust, and governance in business success

Frequently Asked Questions

What is data engineering

Data engineering involves building and managing the pipelines that move and transform data so it can be used for reporting, analytics, and AI.

Why is data engineering important?

Without reliable pipelines, data becomes difficult to access, inconsistent, and harder to use effectively across the organisation.

Does this require replacing existing systems?

Not necessarily. Many improvements can be made by integrating and standardising what you already have.

Achieve more

Our perspectives

Read data like an open book

Sogeti partners with KB National Library to modernise and manage a data platform, improving access and expanding its use for educational and cultural services.

Harnessing technology for sustainable farming

What if a cloud data platform could enable smart fertilisation, operations insights and agricultural monitoring?

Data powered enterprises 2024

The latest report from Capgemini Research Institute’s data-powered enterprises series highlights a rise in organisations leveraging data for business and financial benefits.

Our Data experts

    Paul Gilbride

    Paul Gilbride

    Paul holds a European role within Sogeti part of Capgemini, focusing on Ireland and Belgium, where he leads the development of the Data and AI business. He is dedicated to helping organisations harness the growing impact of AI and data, supporting them in turning this potential into tangible, long-term business value.
    Paul holds a European role within Sogeti part of Capgemini, focusing on Ireland and Belgium, where he leads the development of the Data and AI business. He is dedicated to helping organisations harness the growing impact of AI and data, supporting them in turn…
    Prithvi Krishnappa

    Prithvi Krishnappa

    Global Head, Data and AI, Sogeti

    Eddy Visser

    Eddy Visser

    Lead Data & Data Platform

    Cesar Meireles

    Cesar Meireles

    Data Professional