Data Engineer

Who we are

Neotalent Conclusion is one of the leading Iberian specialists providing services in Information Technology and Engineering services. As part of the Netherlands-based organisation 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

We are looking for a Data Engineer to join one of our Nearshote teams working on projects for international clients accross The Netherlands, Germany and other European locations.

You will design, develop, and operate data solutions that enable analytics, AI, and software applications to perform reliably and efficiently. This is a dynamic, client-facing role where you collaborate with Data Scientists, Architects, and business stakeholders to turn data into tangible business value.

What you will do:

• Design, build, and maintain scalable cloud-based data platforms, primarily on Azure (experience with AWS or GCP is a plus).
• Develop and operate ETL/ELT pipelines, data models, and storage layers such as data lakes, warehouses, or lakehouses.
• Work with SQL and Python or Scala, applying modern data engineering tools and frameworks (e.g., Databricks, Spark, Data Factory, Airflow, dbt).
• Embed quality by design: performance, reliability, security, observability, and GDPR-compliant data handling.

What you are like:

• Experienced in designing and operating cloud-based data platforms and modern data architectures (lakehouse, event-driven).
• Proficient in SQL and programming languages such as Python or Scala for data engineering patterns.
• Skilled in building and managing ETL/ELT pipelines and working with frameworks like Databricks, Spark, Airflow, dbt.
• Strong understanding of data governance, security-by-design, and GDPR-compliant practices.
• Excellent communicator with strong command of English.

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 programme.
• … and much more!