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LACO Tech Stack

Data intelligence and analytics consulting for enterprise digital transformation

IT Services and IT Consulting Diegem 51–200 employees Founded 1986 Privately Held

LACO is a Belgian data consulting firm with 35+ years in business intelligence and analytics, anchored in SAS (since 1994) and Microsoft BI (since 2006). The stack reveals a modern Azure-native orientation—Synapse, Data Lake, Data Factory, Fabric—paired with ML (scikit-learn, TensorFlow, PyTorch) and emerging generative AI (RAG, LLM integrations). The hiring surge is data-focused (13 of 17 open roles), signaling expansion in pipeline engineering and platform delivery rather than sales.

Tech Stack 42 technologies

Core StackPower BI Python Databricks Azure Data Factory Tableau scikit-learn TensorFlow PyTorch Azure DevOps Docker Terraform Apache Spark Collibra Informatica PySpark SQL DAX Azure Synapse Azure Data Lake Azure Azure Machine Learning Azure Kubernetes Service ARM Bicep Microsoft Fabric Azure Purview Spark SQL Falcon Stable Diffusion Azure AI Foundry+11 more

AdoptingRAG

What LACO Is Building

◆Challenges

Inconsistency in data
Root cause identification
Scaling data platforms
Moving from prototypes to production
Implementing responsible ai
Scalable ml systems for clients
Lack of performance-driven culture

▲Active Projects

Financial sector projects
Pharmaceutical sector projects
Energy sector projects
Scalable data platform
Scalable databricks/spark pipelines on azure
Etl/elt pipelines for batch & streaming workloads
Scalable ai solutions on azure
Generative ai applications (rag, copilots, llm integrations)
End-to-end pipelines for data ingestion, training, and deployment

Hiring Activity

Accelerating15 roles · 10 in 30d

Department

Data

13

Engineering

3

Marketing

1

Seniority

Mid

12

Senior

5

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About LACO

LACO advises mid-market and enterprise clients across financial services, pharma, and energy on data strategy, architecture, and governance. The consulting model spans managed services (legacy SAS/BI modernization) and net-new builds (Databricks, Azure data platforms, ML systems). Active projects cluster around scalable pipeline infrastructure (ETL/ELT, streaming), AI workloads (RAG, copilots), and production-grade ML deployment. Reported pain points—data inconsistency, prototype-to-production gaps, scaling ML systems—point to client-side delivery challenges the firm addresses through architecture and governance practices.

HeadquartersDiegem

Company Size51–200 employees

Founded1986

Hiring MarketsBelgium, Canada

Frequently Asked Questions

What tech stack does LACO use for data platforms?

Azure Synapse, Azure Data Lake, Azure Data Factory, Databricks, and Apache Spark for pipeline infrastructure; Power BI, Tableau, and Microsoft Fabric for BI; scikit-learn, TensorFlow, PyTorch for ML; Informatica and Collibra for data governance.

What industries does LACO serve?

Financial services, pharmaceutical, and energy sectors. Projects include financial compliance platforms, pharma data analytics, and energy sector data strategy engagements.