Data Engineer (spark/ Scala), Porto

Última atualização 2025-06-17
Expira 2025-07-17
ID #2891651421
Free
Data Engineer (spark/ Scala), Porto
Portugal, Castelo Branco, Porto,
Modificado June 10, 2025

Descrição

About the job

Are you ready to supercharge your Data Engineering career?

Then we have the right challenge for you – at SMART!


We’re a tech consultancy with over a decade of experience transforming businesses through innovative IT and Telecoms projects – both nationally and internationally. If you thrive on data, collaboration, and cutting-edge tech, we want to write the next chapter of your story together.


What do you need to be a SMART DATA ENGINEER?

✅A degree in Computer Science, Informatics Engineering or similar

✅ 4–5 years of experience as a Data Engineer – mid to senior level

✅ Strong hands-on expertise with Spark & Scala

✅ Solid command of SQL for Big Data – think massive datasets

✅ Familiarity with Unix and writing clean shell scripts

✅ Knowledge of Python and Py Spark is a big plus

✅ Fluent English (mandatory), French is a nice-to-have


What will you be doing at SMART?

You’ll be joining a cross-border project team with our partners in Porto and Paris, working on scalable data pipelines and infrastructure that isn’t just cloud-based – we’re keeping it real with on-premises systems too.

  • Build and optimize big data processing flows
  • Maintain robust, scalable infrastructure with Spark/Scala
  • Collaborate across borders – from Porto to Paris
  • Apply your creativity and logic to solve complex data problems
  • Work closely with data scientists, analysts, and Dev Ops engineers
  • Drive best practices and automation in a hybrid environment


Why be SMART?

Because we believe in real impact.

We love what we do and take pride in the results.

We work smart, stay humble, and move fast.

We value people over process.

And we’re a close-knit, honest, and driven team.


Where can you be SMART?

???? Hybrid from Porto – where tech meets talent.

Detalhes do trabalho

Tipo de emprego: Tempo total
Tipo de contrato: Permanente
Tipo de salário: Por mês
Ocupação: Data engineer (spark/ scala)

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