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Big Data Engineer

Tecnologia
Inetum
Lisboa, PortugalHá 2 semanasAté 07/06/2026
Tempo inteiroHíbrido

Descrição da vaga

Big Data Engineer

We are looking for a Big Data Engineer to join our Inetum Team and be part of a work culture focused on innovation!

Location: Lisbon, Portugal

Main Tasks:

  • Support the development, maintenance, and testing of the STDA process within the MS4U platform, contributing to the creation of quarterly databases with actual closing date figures in a Big Data environment.
  • Perform data collection, data ingestion, data quality checks, data preparation, and data cleaning using DATAIKU DSS (Data Science Studio).
  • Work with PySpark, Hive, and Hadoop to process and transform large volumes of data efficiently.
  • Contribute to data consolidation within a strong control and analysis framework, ensuring consistency, reliability, and traceability of information.
  • Collaborate with onshore and offshore teams as part of a cross-geography team split between Lisbon and Paris, working as one integrated unit.
  • Develop a solid understanding of credit data functional content and stress testing modelling concepts, which are part of the day-to-day responsibilities.
  • Support the execution of processes related to Group-wide stress testing, financial planning, and synthesis within BNP Paribas.
  • Contribute to an industrialized and scalable data environment designed to support regulatory and internal stress testing exercises.

Profile:

  • Academic background in Computer Science, Engineering, Data Engineering, Data Science, or a related field.
  • Strong programming knowledge and willingness to grow in a Big Data / Data Engineering environment.
  • Proven experience with SQL and Python is mandatory.
  • Exposure to or knowledge of PySpark, Hive, Hadoop, and DATAIKU DSS is highly valued.
  • Interest in working with large-scale data processing, data quality, and industrialized data platforms.
  • Analytical mindset with attention to detail and data consistency.
  • Ability to work in a structured and controlled environment with strong data governance requirements.
  • Comfortable collaborating in an international and multi-location team.
  • Interest in credit data, risk, and stress testing concepts is a plus.
  • Junior profile with motivation to develop technical and functional expertise in a strategic banking environment.

Language Skills:

  • Fluency in English is mandatory.
  • Knowledge of Portuguese is valued.

Additional Information:

  • Hybrid work regime – office in Lisbon.
  • Opportunities for professional growth and development.
  • Collaborative and innovative work environment.

📩 Send your CV & join our team!

Keywords
TeaApache HadoopMS-DOSTraceabilityMongodbPythonSqlStress TestingHadoopHiveBig dataData management

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