Location: Evora or Lisbon (Portugal)

We are looking for a Data Engineer to join our team in Evora or Lisbon and working on cool Insuretech, Fintech, Blockchain and A.I. projects. We are a dynamic AI startup with clients in Switzerland, Germany, and the USA.


  • Build ETL processes for bringing data into data lake platforms
  • Configure data visualization dashboards
  • Interact with Business, Data Science and Engineering teams to define solutions
  • Document processes and test solutions

You bring

  • Bachelor degree in Computer Science or any related degree
  • 2 years of experience in a Data Engineer role
  • Strong analytic skills related to working with unstructured datasets
  • Experience with big data tools: Hadoop, Spark, Kafka, Bigquery, etc.
  • General Spark knowledge with focus on PySpark (ideally also SparkR)
  • Experience building and optimising – big data- data pipelines, architectures and data sets
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases

Nice-To-Have Skills

  • Basic frontend programming skills (Javascript, HTML, CSS) to do UI building by configuration (no Angular, React or similar required)
  • General understanding of analytics and machine learning, but no data science knowledge required
  • Automated testing

We offer

  • A very competitive salary according to your experience and skills
  • Annual training allowance
  • Health insurance
  • A laptop with loads of memory and CPUs
  • A desk at one of our offices (or on a co-working space in your area)
  • Opportunity to work on international cool projects and product development in Fintech, Insuretech, Blockchain, AI, Cognitive Computing.
  • Integration on a young, dynamic, and fast growing company, with a highly motivated team.

Two Impulse is proud to be an equal opportunity employer. We are committed to providing equal employment opportunities for all people. We believe both diversity and inclusiveness are key sources to successful companies.

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