14 providers · Belgium

Data Engineering & Analytics Providers in Belgium

Belgium has a deep data engineering and analytics market driven by banking, insurance, pharma, retail and the EU institutions. TechVendorIndex tracks 14 providers active across Snowflake, Databricks, Google BigQuery, Microsoft Fabric and SAP Datasphere programmes, with strong Belgian boutiques such as Dataroots, Element61, Agilytic and ML6 holding meaningful share against global integrators.

About data engineering & analytics in Belgium

Belgian data programmes typically combine a modern data platform (Snowflake, Databricks, Microsoft Fabric or Google BigQuery), an ELT and transformation layer (dbt, Matillion, Talend), a BI layer (Power BI, Tableau, Looker) and an ML/AI layer (Azure ML, Vertex AI, SageMaker or platform-native). GDPR oversight by the Belgian DPA, the NBB Circular on IT and security risk, sector privacy rules for healthcare and the EU AI Act drive an unusually strong focus on data governance, data residency in Azure West Europe, AWS Frankfurt or Google Cloud Belgium, and DPIA documentation. Buyers in BFSI and pharma routinely run a parallel master-data and reference-data programme alongside their cloud warehouse migration.

Top data engineering & analytics providers in Belgium

The 14 firms below are ranked by verified delivery presence in Belgium, with focus and rating drawn from TechVendorIndex editorial assessments. No vendor pays for placement.

Provider
Focus in Data Engineering & Analytics
Rating
Reviews
Dataroots
HQ: Leuven · Belgian data and AI boutique
Snowflake, GCP, Databricks
4.5
Editorial score
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Element61 (Cronos)
HQ: Brussels · Microsoft Fabric and Power BI
Fabric, Synapse, Power BI
4.4
Editorial score
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Agilytic
HQ: Brussels · Belgian analytics boutique
Snowflake, Databricks, BI
4.4
Editorial score
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ML6
HQ: Ghent · AI-led data engineering
Vertex AI, BigQuery, MLOps
4.5
Editorial score
View profile →
Accenture Belgium Data
HQ: Brussels · Global integrator data practice
Snowflake, Databricks, Power BI
4.2
Editorial score
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Capgemini Belgium Insights & Data
HQ: Diegem · Industry data programmes
Snowflake, SAP Datasphere
4.0
Editorial score
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Deloitte Belgium Analytics
HQ: Zaventem · Data strategy and governance
Snowflake, Fabric, governance
4.1
Editorial score
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Cegeka Data
HQ: Hasselt · Microsoft data platforms
Fabric, Synapse, Power BI
4.2
Editorial score
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Business & Decision (Orange)
HQ: Brussels · Pan-European data practice
Talend, Snowflake, Tableau
4.0
Editorial score
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Sopra Steria Data
HQ: Brussels · Public sector and EU data
Snowflake, Talend, Power BI
4.0
Editorial score
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PwC Data Belgium
HQ: Brussels · Data governance and BI
Power BI, governance
4.0
Editorial score
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KPMG Lighthouse Belgium
HQ: Brussels · Data and AI strategy
Strategy, governance, BI
4.0
Editorial score
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Devoteam Data Driven
HQ: Brussels · Google Cloud data
BigQuery, Looker, dbt
4.1
Editorial score
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Inetum-Realdolmen Data
HQ: Huizingen · Belgian SI data
Synapse, Fabric, Power BI
4.0
Editorial score
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Data Engineering & Analytics market overview in Belgium

Belgian data engineering and analytics spend is estimated at EUR 900 million to EUR 1.1 billion in 2026 and growing in the low-teens annually. Demand is anchored by BFSI (KBC, BNP Paribas Fortis, ING Belgium, Belfius, AG Insurance), pharma (UCB, Janssen, GSK Vaccines), retail (Colruyt, Delhaize, Carrefour Belgium), and the federal public sector through Smals and the SPF/FOD ministries. Snowflake and Databricks have displaced Oracle DWH and legacy SAP BW estates at most large Belgian buyers, while Microsoft Fabric is gaining traction in mid-market Microsoft-aligned shops. Power BI dominates the BI layer, with Tableau and Looker holding meaningful share in EU-institution and digital-native buyers.

How to select a data engineering & analytics provider in Belgium

Use the following criteria to shortlist providers before issuing a formal request for proposal. Most procurement teams in Belgium weight references and operating-model fit more heavily than headline rate cards.

Typical engagement model

Belgian data engagements typically run as 3- to 6-month platform build sprints followed by a 9- to 18-month domain rollout. Senior data engineer day rates in Brussels run EUR 900 to 1,400 from global integrators and EUR 700 to 1,100 from Belgian boutiques such as Dataroots, Element61 and Agilytic.

Belgian buyers should validate provider ability to deliver in both French and Dutch, demand transparent FinOps reporting on Snowflake or Databricks consumption, and pre-agree dbt or transformation IP ownership. Engage independent data advisory before signing platform deals above EUR 2M annual value.

Related categories and regions

Compare the data engineering & analytics market in Belgium with other service lines in the same country, or with data engineering & analytics in other markets covered by TechVendorIndex.

Frequently asked questions

Which data platforms dominate the Belgian market?
Snowflake and Databricks have displaced most legacy data warehouses at large Belgian buyers, with Microsoft Fabric gaining ground in Microsoft-aligned mid-market shops and BigQuery anchoring Google-aligned and digital-native buyers.
How does GDPR shape Belgian data programmes?
GDPR oversight by the Belgian DPA requires DPIAs for high-risk processing, well-developed data classification, joint-controllership arrangements with EU partners and strict cross-border transfer controls. Belgian buyers also navigate sector-specific privacy rules for healthcare and BFSI.
Are Belgian data engineers available locally?
Yes. Ghent, Leuven, Antwerp and Brussels host a deep Belgian data engineering bench through Dataroots, Element61, Agilytic, ML6 and the Cronos federation, complemented by senior nearshore engineers from Romania, Portugal, Poland and France.
What is the typical Belgian data engineer day rate?
Senior Belgian data engineers are billed at EUR 900 to 1,400 per day from global integrators and EUR 700 to 1,100 per day from Belgian boutiques, with a 10 percent Brussels premium over Ghent, Antwerp or Liège.
How long does a Belgian data platform build take?
A typical mid-market Snowflake or Databricks build runs 3 to 6 months for the platform and a further 9 to 18 months for domain rollouts. Larger BFSI buyers often run multi-year programmes with parallel master-data, governance and analytics workstreams.
Last updated: May 2026

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