Data Engineer (AWS)

Who are we :

Neotalent Conclusion is one of the leading Iberian specialists providing services in Information Technology and Engineering services. As part of the Netherlands-based organization Conclusion, which has an ecosystem of over 25 companies and 3,600 employees, we are focused on increasing the technological capacity of our clients and the digital transformation of their application ecosystems.

We are talent specialists, attracting the best people and combining them with the needs of the most ambitious projects, at the right time. Our success comes from our investments in innovation, our focus on results, and, above all, the guarantee that our people will have happy and rewarding careers.

With over 25 years of solid experience, Neotalent Conclusion has established its presence in key locations, including Lisbon, Porto, and Madrid. The company currently has more than 950 professionals in the different areas in which it operates.

Neotalent, the responsive people.

Find out more about us at

Role Overview :

We are looking for a Data Engineer (AWS) to integrate one of our largest international partners in the telecommunications sector. It is one of the biggest references in the area, with a significant presence in more than 6 countries. (Oporto - Hybrid model).

The Data Engineer is responsible for :

• Design, build, and maintain scalable data platforms;
• Collect, process, and analyze large and complex data sets from various sources;
• Develop and implement data processing workflows using data processing framework technologies such as Spark, and Apache Beam;
• Collaborate with cross-functional teams to ensure data accuracy and integrity;
• Ensure data security and privacy through proper implementation of access controls and data encryption;
• Extraction of data from various sources, including databases, file systems, and APIs;
• Monitor system performance and optimize for high availability and scalability.

This role is focused on designing, developing, and maintaining the data platform required for data storage, processing, orchestration, and analysis. The mission involves implementing scalable and performant data pipelines and data integration solutions.

What you are like :

Why join us