Big Data

24/7 Big Data Team for Development, Support, and Global Operations

Team specialisation

Data Engineering, Big Data, application support, Cloud Data Platforms, Google Cloud, Databricks, pipeline management, and Service Management.

A global data operation

A global data operation does not fail only when a platform becomes unavailable. It fails when pipelines run late, users do not receive the information they need, incidents build up, and technology evolution is held back by the pressure of daily support.

This was the context in which Aubay Portugal took responsibility for strengthening an internationally used Big Data operation. The service had to combine development, maintenance, support, and infrastructure management. The platform supported 16 active projects, processed approximately 2.5 TB of data per day, and required 24/7 support across three shifts. The objective was clear: guarantee continuity without slowing platform evolution.

The challenge

The challenge was not only finding data specialists. It was creating a team able to operate as an extension of the client, with cross-functional technical knowledge, service governance, and the ability to respond to changing priorities. The team had to master Data Engineering processes, work on pipelines, handle requests and incidents, monitor demanding SLAs, and contribute to new data initiatives.

The dedicated Aubay Portugal team

Aubay Portugal structured a dedicated team of 40 professionals, divided between support, development, and infrastructure. To ensure that technical capacity translated into operational results, the model included a management layer made up of project direction, project management, support management, and commercial oversight.

This organisation connected technical execution with service monitoring, stakeholder communication, and continuous improvement.

Platform evolution

The team took ownership of end-to-end Big Data processes. Integrating Databricks on Google Cloud created the conditions to evolve the platform and develop applications focused on audience analysis and media return on investment. In parallel, the 24/7 model ensured continuous support for the operation and for users across different geographies.

The impact

The impact was measurable. Pipeline execution time was reduced by four hours, moving from 3:00 AM to 7:00 AM. The operation went on to support 600 pipelines, 149 countries per day, 2,500 processed files, and 4,200 daily reports. First-response SLA fell from 40.24 hours to 4.95 hours, while resolution SLA was reduced from 42 hours to 2.07 hours. The team resolved an average of 6,000 tickets per year and achieved 90% customer and user satisfaction.

This project shows how Aubay Portugal creates Big Data teams that combine delivery capacity, 24/7 support, governance, and cloud platform expertise. The outcome is not just more resources within an operation. It is a team prepared to keep critical systems available, make data more accessible, and accelerate technology evolution.

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Equipa de especialistas em tecnologia da Aubay Portugal em momento de colaboração

Insurance sector