BNP Paribas Portugal

Data Engineer

BNP Paribas PortugalLisboahá 4 dias

Descrição

BNP Paribas is seeking a Data Engineer to join the Transversal Assets and Information Technology organization, specifically within the Referential domain that manages master data across the Group. You will work as part of an agile squad composed of technical leads, data engineers, data scientists, business analysts, and product owners, operating at the intersection of business and technology. The team is responsible for delivering Master Data solutions across Finance, Risk, and Human Resources, ensuring data consistency, standardization, and quality across systems.

In this role, you will design, build, and optimize data pipelines for ingestion and transformation, ensuring data quality and governance across all data assets. You'll develop dashboards and visualizations using tools like Tableau or Power BI to support business insights, and deliver automated, scalable, production-ready solutions. Your technical stack will include Ab Initio for data virtualization and orchestration, Dataiku for Data Science, and Tableau/Power BI for reporting. You'll collaborate closely with stakeholders to translate business needs into technical solutions, conduct code reviews, and document processes while maintaining a strong focus on data accuracy and reliability.

This is a permanent, hybrid position based in Lisbon, offering the opportunity to work in a fast-paced environment with a customer-oriented mindset, continuous improvement focus, and strong emphasis on work-life balance within BNP Paribas' Smart Working framework.

Competências

  • SQL
  • Python
  • Tableau
  • Power BI
  • Ab Initio
  • Dataiku
  • Data Modelling
  • Data Pipeline Design
  • Data Governance
  • Data Quality
  • Code Review
  • Problem-solving
  • Analytical Skills

Responsabilidades

  • Design, build, and optimize data pipelines for data ingestion and transformation
  • Ensure data quality, reliability, and governance across data assets
  • Develop dashboards and visualizations to support business insights
  • Deliver automated, scalable, production-ready solutions
  • Collaborate with stakeholders to translate business needs into technical solutions
  • Document data pipelines, processes, and solutions
  • Conduct code reviews
  • Engage with business stakeholders to identify pain points and opportunities for data mutualization

Benefícios

  • Hybrid working environment with flexible remote working options
  • Office and home equipment provided
  • Equipment allowance
  • Exclusive partnerships for purchasing additional items at reduced prices
  • Work-life balance support
  • Professional development opportunities
  • Diverse and inclusive workplace

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