10 de Junho de 2024

Data Engineer (m/f)

Neotalent Conclusion

  • Localidade Lisboa, Porto
  • Contrato Contrato sem termo
  • Horário Full-time
  • Remoto Permite trabalho remoto
  • Referência BDP_DE

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 <endereço ocultado>.


Role Overview:


We are looking for a Data Engineer to join our Digital Transformation Unit (hybrid – in Lisbon or Porto).


What you will do:

  • Design, build, and maintain scalable data platforms;
  • Collect, process, and analyze large and complex data sets from various sources;
  • Collaborate with cross-functional teams to ensure data accuracy and integrity;
  • Extraction of data from various sources, including databases, file systems, and APIs;
  • Monitor system performance and optimize for high availability and scalability.


What you are like:


  • Proficiency in programming languages like Python, Java, or Scala;
  • Cloud knowledge in big data environments (AWS, Azure or GCP)
  • Use of Big Data Tools such as Spark, Flink, Kafka, Elastic Search, Hadoop, Hive, Sqoop, Flume, Impala, Kafka Streams and Connect, Druid, etc.;
  • Understanding of distributed systems and data processing architectures;
  • Strong SQL skills and experience with relational and NoSQL databases;
  • Familiarity with cloud platforms and services for data engineering (e.g., AWS S3, Azure Data Factory);
  • Good written and verbal communication skills in 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 program
  • … and much more!

To apply:

Please send your CV to <endereço ocultado> with BDP_DE  in the email subject.

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