Macaque Consulting

Cloud Data Engineering Services

We design and build automated data pipelines and cloud-native infrastructures to ingest, transform and activate your information flows with maximum security, speed and scalability.

Team designing a cloud data engineering platform

Elastic, high-performance data architectures for modern business

Cloud data engineering is the technical foundation that successfully supports any Business Intelligence, Artificial Intelligence or Data Governance initiative. At Macaque Consulting, we build the information highways (data pipelines) your organisation needs to collect, unify and process massive data volumes with full agility and strict cost control. We develop tailored solutions integrating leading technologies from AWS, Microsoft Azure and Google Cloud, ensuring your data is always clean, structured and ready to deliver business value.

High-performance data infrastructures and optimised cloud costs

We design elastic data engineering architectures that grow with your business. Every pipeline, platform and integration is designed to minimise latency, guarantee information quality and reduce cloud computing spend. We support you from the design phase through production operations.

ETL and ELT Data Pipelines

We build highly scalable data ingestion, processing and transformation flows using the industry's most robust frameworks and orchestrators (Apache Spark, dbt, Apache Airflow), natively integrated with AWS, Azure and GCP.

Modern Data Warehouses and Lakehouses

We design and implement data warehouses and unified repositories using cutting-edge cloud platforms (Databricks, Snowflake, Google BigQuery, AWS Redshift and Azure Synapse), adapted to your company's volume and analytics needs.

Streaming and real time

We develop event-driven architectures using high-speed tools such as Apache Kafka, AWS Kinesis, Azure Event Hubs and Google Pub/Sub to process and react to your data in milliseconds.

DataOps and Observability

We automate the lifecycle of your pipelines by applying DataOps methodologies (CI/CD for data), automatic ingestion quality tests, infrastructure monitoring and real-time alerts to prevent data corruption in production.

Cloud Data Migration and Modernisation

We transition your legacy or on-premise databases and infrastructures to modern cloud environments, mitigating operational downtime risks and guaranteeing full information consistency and integrity throughout the process.

Data Security, Governance and Cloud Compliance

We protect your information assets through role-based access controls (RBAC), data masking, end-to-end encryption (both in transit and at rest) and automated audits to guarantee GDPR compliance.

Iberostar
W2M
Urbaser
Barcelona Supercomputing Center
Plana Fabrega
DiR
MAC Insular
Top Doctors

Companies that trust us

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Team working on a technology strategy

Technology strategy connected to business

We help companies define a clear technology roadmap, prioritising solutions that create real value from the start.

We analyse processes, data, tools and operational needs to turn technology into a lever for sustainable growth.

Our approach combines strategic vision and technical execution to create digital ecosystems ready to evolve.

Technologies

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Google Cloud
AWS
Microsoft Dynamics CRM
Power BI
Anthropic
Microsoft Azure
OpenAI
Gemini
Professionals collaborating on a company's digital evolution

Integration, automation and data to scale

We design architectures capable of connecting systems, automating tasks and centralising critical information to improve decision-making.

We integrate platforms, applications and cloud services with a practical, secure and results-driven perspective.

The goal is to reduce operational friction, accelerate teams and build a flexible technology foundation for new products and services.

Why choose us?

Data engineering with solid foundations

We design the technical layer that makes reliable, scalable data usage possible and prepares your organisation for advanced analytics, BI and artificial intelligence.

We build data platforms ready to scale and operate in production

Architecture built for growth

We define pipelines and platforms that support more volume, more use cases and more teams without rebuilding the foundation every few months.

Technology aligned with your context

We select cloud services, patterns and tools according to your real needs in cost, performance, governance and team maturity.

Reliable operations from day one

We embed observability, quality, testing and automation so your data arrives correctly and on time when the business needs it.

From platform to impact

We do not stop at infrastructure: we connect engineering with analytics, models and data consumption to accelerate results.

Certifications

ISO/IEC 27001:2023
EUROCERT S.A. Certificate no. 00.15.0812

Open Macaque Consulting ISO/IEC 27001:2023 certificate

Certification corresponding to Macaque Consulting
Scope according to certificate.

We process your personal data in accordance with the General Data Protection Regulation (GDPR) and Organic Law 3/2018 (LOPDGDD). See our Privacy Policy.

Open Macaque Consulting ISO/IEC 27001:2023 certificateObtained
ISO 27701
In progress
ISO 9001
In progress
ENS ALTO
In progress
ISO 42001
Under review

Members of

  • FEGP
  • OdiseIA
  • PIMEC
  • TICSud

Frequently asked questions (FAQs) about cloud data engineering

We answer the most common questions about data pipelines, data warehouses and lakehouses, real-time streaming, DataOps, cloud data migration and cloud security for companies in Tarragona, Catalonia and across Spain.

What cloud data engineering services does Macaque Consulting offer?

We design and build automated, scalable and secure cloud data infrastructures. We work in six areas: ETL and ELT data pipelines, modern data warehouses and lakehouses, streaming and real-time processing, DataOps and observability, cloud data migration and modernisation, and cloud data security, governance and compliance. We work with AWS, Microsoft Azure and Google Cloud, and serve companies in Tarragona and across Spain.

What is the difference between a data warehouse, a data lake and a lakehouse?

A data warehouse stores structured, cleansed data optimised for reporting and Business Intelligence. A data lake holds large volumes of raw data in any format, useful for advanced analytics and artificial intelligence. A lakehouse combines both: the flexibility and low cost of a data lake with the performance and reliability of a data warehouse. We design the right architecture with technologies such as Snowflake, Databricks, BigQuery or Microsoft Fabric, according to your needs.

What is streaming data processing and when do I need it?

Streaming processes data the moment it is generated, instead of in batches at set intervals. It is necessary when your business depends on reacting instantly: fraud detection, IoT sensor monitoring, logistics tracking, dynamic pricing or operational alerts. We build real-time data architectures that capture, process and distribute information within seconds, so that your company makes decisions with up-to-the-minute data.

What is DataOps and why does it improve data quality?

DataOps applies DevOps practices to data management: automation, version control, testing and continuous deployment of pipelines. Together with data observability, which monitors the freshness, volume, schema and quality of information, it makes it possible to detect errors before they reach reports or AI models. The result is reliable data, fewer incidents and teams that spend their time creating value rather than firefighting.

How is data migrated from on-premise systems to the cloud?

We analyse your databases, volumes, dependencies and business requirements to define the safest migration strategy. We plan the transfer in phases, validate data integrity at each stage and modernise workloads to take advantage of the cloud's scalability and pay-per-use model. This way you reduce infrastructure costs, gain performance and maintain business continuity throughout the process.

How do you ensure the security and regulatory compliance of data in the cloud?

We apply security by design: encryption of data in transit and at rest, role-based access control, masking of sensitive data, and full auditing and traceability. We define cloud governance policies to comply with GDPR and sector-specific regulations, and we host data in the appropriate regions when regulations require it. All backed by our ISO/IEC 27001:2023 certification.

Let's talk about your project

Tell us what you need and we will help you develop, improve or scale your technology solution with custom software, IT outsourcing and artificial intelligence.

We drive your business with technology and artificial intelligence

Personalised advice

We analyse your case and propose solutions tailored to your business

Continuous support

From the initial idea through product evolution

Scalable solutions

Technology prepared to grow with you

Availability

Monday - Friday:09:00 - 18:00

Response within 24 hours

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