Data Engineer
First seen by Alion on Oct 5, 2026.
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 www.neotalentconclusion.com.
Role Overview:
We are looking for a Data Engineer to integrate our teams and contribute to the development and optimization of modern data platforms. In this role, you will work on designing, implementing, and maintaining data pipelines and storage solutions, supporting data-driven initiatives and ensuring the reliability, scalability, and quality of data across the organization.
What you will do:
- Design, develop, and maintain data ingestion and transformation pipelines;
- Build and optimize data models, Data Warehouses, and Data Lakes to support business requirements;
- Work with distributed data processing technologies to handle large-scale datasets efficiently;
- Collaborate with multidisciplinary teams to ensure data quality, availability, and performance;
- Apply engineering best practices, including version control, code reviews, testing, and automation within data development processes.
What you are like:
- Proficient in SQL and Python for data manipulation, transformation, and analysis;
- Familiar with PySpark or equivalent distributed data processing technologies;
- Knowledgeable in data modeling concepts and modern storage architectures, including Data Warehouses and Data Lakes;
- Comfortable working with cloud environments such as Azure, AWS, or Google Cloud Platform;
- Familiar with distributed data ecosystems and big data technologies, ideally including Hadoop, Hive, Spark, or Databricks;
- Committed to software engineering best practices, including Git, code review processes, development standards, and automation.
Why join us:
- Work on challenging projects for big clients;
- Learn more about emerging technologies;
- Possibility of working remotely;
- Design your career plan;
- Access to continuous training and certifications;
- Evolve through our internal mobility program;
- … and much more!
To apply:
Please send your CV to [email protected] with MSR_DataEngPorto in the email subject.