Inetum is a European leader in digital services, supporting organizations as they navigate continuous technological change. The company helps clients accelerate their digital transformation through a broad portfolio that includes consulting, application services, digital engineering, cloud, cybersecurity, platforms, and infrastructure services

• Design, develop, and maintain scalable and high-performance ETL/ELT data pipelines to support Data Warehouse and analytics platforms.
• Build and optimize data integration processes, ensuring data quality, reliability, and performance.
• Automate development and deployment workflows through CI/CD pipelines, managing releases across multiple environments.
• Design and implement robust data models and architectures, following Data Engineering and Business Intelligence best practices.
• Collaborate with business and technical teams to translate requirements into efficient data solutions.
• Support and empower end users working with Dataiku and Tableau, promoting adoption and best practices.
• Monitor, troubleshoot, and continuously improve data processing workflows and platform performance.
• Provide technical leadership, mentoring, and knowledge sharing to junior team members and stakeholders.

• Bachelor's degree in Computer Science, Information Technology, Business Intelligence, or a related field.
• 5+ years of professional experience as a Data Engineer.
• Strong hands-on experience with ETL/ELT frameworks and data integration tools (e.g., Alteryx, Talend).
• Advanced proficiency in SQL for data extraction, transformation, and optimization.
• Strong programming skills in Python and/or PySpark.
• Experience designing and maintaining Data Warehouse solutions and data architectures.
• Solid understanding of data governance, data quality, and performance optimization principles.

Nice to Have

• Experience with Apache NiFi, Dataiku, and/or Tableau.
• Previous experience within the banking or financial services sector.
• Knowledge of Credit Risk, Risk Management, or Regulatory Reporting.
• Familiarity with Agile methodologies, Scrum practices, and tools such as JIRA.
• Good working knowledge of Microsoft Office Suite (Excel, PowerPoint, Word, Outlook).
• Experience working in international and multicultural environments.

Languages

• English: Professional/Fluent level (mandatory)
• French: Basic knowledge
• Portuguese: Basic knowledge

We are looking for a proactive and detail-oriented Data Engineer with strong technical expertise in data integration, ETL/ELT development, and Data Warehousing. The ideal candidate combines excellent analytical and problem-solving skills with the ability to collaborate effectively across business and technical teams, while contributing to continuous improvement initiatives and mentoring less experienced colleagues.